information management research topics

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Information management

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Putting the Enterprise Into the Enterprise System

• Thomas H. Davenport
• From the July–August 1998 Issue

In a Hybrid World, Your Tech Defines Employee Experience

• Brad Anderson
• Seth Patton
• February 18, 2022

The Ethics of Managing People's Data

• Michael Segalla
• Dominique Rouziès
• From the July–August 2023 Issue

The Short Life of Online Sales Leads

• James B. Oldroyd
• Kristina McElheran
• David Elkington
• From the March 2011 Issue

How to Address the Supply-Chain Staffing Crisis

• Joe McKendrick
• September 18, 2023

Give Me That Real-Time Information

• April 01, 2004

How Effective Managers Use Information Systems

• Steven L. Alter
• From the November 1976 Issue

Is There a Patient in the House?

• Amy Salzhauer
• From the November 2005 Issue

Your Medical Information in the Digital Age

• John D. Halamka M.D.
• From the July–August 2009 Issue

Balancing Act: How to Capture Knowledge Without Killing It

• John Seely Brown
• Paul Duguid
• From the May–June 2000 Issue

An Introduction to Data-Driven Decisions for Managers Who Don't Like Math

• Walter Frick
• May 19, 2014

When Hackers Turn to Blackmail (HBR Case Study and Commentary)

• Caroline Eisenmann
• Per Gullestrup
• Richard L. Nolan
• Peter R. Stephenson
• From the October 2009 Issue

Information Technology System That Couldn't Deliver (HBR Case Study and Commentary)

• Byron Reimus
• James K. Sims
• Thornton May
• Robert A. Distefano
• From the May–June 1997 Issue

The Permissionless Corporation

• Rita McGrath
• From the January–February 2023 Issue

Sellers Are Overwhelmed by New Technology

• George Tobias
• Craig Riley
• Colleen Giblin
• Betsy Gregory Hosler
• August 22, 2023

The Digitally Literate Organization

• Marco Iansiti
• Satya Nadella
• Tsedal Neeley
• Paul Leonardi
• Vijay Govindarajan
• Venkat Venkatraman
• May 01, 2022

How the Best Chief Data Officers Create Value

• Suraj Srinivasan
• Robin Seibert
• September 13, 2023

Leveraging Growth Analytics for B2B Sales

• Alexander Dierks
• Jochen Böringer
• Doug J. Chung
• Isabel Huber
• Jan-Christoph Köstring
• March 21, 2023

How to Hang On to Your Frontline Workers

• Joseph B. Fuller
• Manjari Raman
• Steven E. Prokesch
• April 30, 2023

How Data Can Make Better Managers

• Brian Spisak
• March 02, 2022

Fate of the Vasa

• Alan MacCormack
• Richard Mason
• August 10, 2004

Health Catalyst

• Kevin A Schulman
• Suresh Balu
• February 02, 2016

Wasabi Technologies

• N. Louis Shipley
• August 18, 2022

Applying Data Science and Analytics at P&G

• Srikant M. Datar
• Sarah Mehta
• Paul Hamilton
• July 07, 2020

Basic Techniques for the Analysis of Customer Information Using Excel 2007: A Step-by-Step Approach

• F. Asis Martinez-Jerez
• February 06, 2009

Globalization of Wyeth

• Munir Mandviwalla
• Jonathan W. Palmer
• April 10, 2008

VINSUN Infra Engineering: ERP on Premise or on Cloud

• Sumedha Chauhan
• Sangeeta Shah Bharadwaj
• August 07, 2013

Managing Information Technology: Organization and Leadership

• James I. Cash Jr.
• January 19, 1989

Delwarca Software Remote Support Unit

• Roy D. Shapiro
• Paul E. Morrison
• January 02, 2012

Alibaba: Launching a Direct Online Retail Model

• Junfeng Tian
• September 27, 2022

Aadhaar: From Voluntary to Mandatory

• Tarun Khanna
• Anjali Raina
• Rachna Chawla
• May 12, 2017

Terra Lycos: Creating a Global and Profitable Integrated Media Company

• Soumitra Dutta
• Theodoros Theos Evgeniou
• Patricia Reese
• February 17, 2002

Zain Group: Diversity and Inclusion in the Middle East

• Lina Daouk-Oyry
• Charlotte Karam
• Axelle Meouchy
• November 11, 2021

Open Innovation at Siemens

• Karim R. Lakhani
• Katja Hutter
• Stephanie Healy Pokrywa
• Johann Fuller
• June 17, 2013

Integrating Avocent Corporation into Emerson Network Power

• Prithwiraj Choudhury
• Vincent M. Servello
• October 21, 2015

Chung and Dasgupta: Information for Casey Clark

• Ian I. Larkin
• Karen Huang
• June 17, 2014

KPMG Peat Marwick: The Shadow Partner

• Robert G. Eccles
• Julie Gladstone
• July 15, 1991

Confederated Pulp & Paper

• David E. Bell
• October 02, 1990

CloudFlare, Inc.: Running Hot?

• Thomas R. Eisenmann
• Alex Godden
• January 25, 2013

Working with Your "Shadow Partner": Building a High Tech Investment Portfolio

• Dwight B. Crane
• July 23, 2001

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Ph.D. in Information Technology Management Research Topics

Current Ph.D. faculty research programs span a wide range of technology management topics. Examples include:

• Analytics in organizations and social media
• Organizational diffusion, adoption and use of information technologies
• Role of routines and organizational work processes in IT-mediated transformations
• The roles of trust in the adoption of new technology and sharing economy services
• Organizational capabilities, structures and skills for leveraging IT value
• Impacts of IT investments on customer relationship, supply chain and knowledge management
• IT capabilities and the dynamics of competitive action

Publications

Our doctoral students work with faculty members on many intriguing topics. Here are some research projects involving faculty and either current Ph.D. students or graduates:

“Understanding User Participation in Crowdsourced Mobile Apps: A Geo-Spatial Analysis” ( Tae Hun Kim, graduated 2018 ) “Dynamics of Online Word of Mouth Spillover Effects” ( Yen-Yao Wang, graduated 2017 ) “The Effect of Mergers and Acquisitions on Firm Performance: Evidence from Digital Industries” ( Kangkang Qi, graduated 2016 ) “Community Engagement and Collective Evaluation in Crowdfunding” ( Eun Ju Jung, graduated 2015 ) “A Process Theory of Technology Trust Change” ( Peng Liu, graduated 2013 ) “Technology, Humanness and Trust: Rethinking Trust in Technology” ( John Tripp, graduated 2012 ) “The (N)Ever-Changing World: Stability and Change in Organizational Routines” ( Derek Hillison, graduated 2009 ) “How Peripheral Developers Contribute to Open-Source Software Development” ( Pankaj Setia, graduated 2008 ) “Team Documentation Influences Clinic Complexity and Patient Satisfaction” ( Inkyu Kim and Dr. Brian Pentland )

Accounting @ Broad

From the conversation, featuring anjana susarla, from npr marketplace, get connected with broad:.

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95 Information Management Topics for Essays

🏆 best information management topics for essays, ✍️ information management essay topics for college, 👍 good information management research topics & essay examples, 🎓 great information management topics for research papers, ✒️ excellent information system thesis topics, 💡 most interesting topics related to information systems.

• Amazon’s Information Management System: Description and Analysis
• Types of Health Information Management Systems
• The Healthcare Manager’s Role in Information Technology Management
• Infosys Firm’s Information Systems Management
• Planning at McDonald’s: Information Resources Management
• Walmart: Information Management System
• Lenovo Group Ltd.’s Operations and Information Management
• United Parcel Service: Information Technology Management Plan The operations of UPS are also designed to make the enterprise financially sound by improving employee buy-in through a broad employee ownership formula.
• Information Systems Management This paper will explain the SI background, communication software, database, electronic health product choice, enterprise resource planning, business intelligence, etc.
• Amazon.com: The State of Information Technology and Management At Amazon.com, the state of information system reveals that the company has gained a competitive advantage as the largest online retailer by using an e-commerce model of business.
• Health Information Technology Service Management One of the aspects of using new technology in medicine is HIT service management, which is a process of establishing a framework for IT-related systems and activities.
• Strategic Information Management: 99 Cents Only Store Strategic information management is defined as the handling of information in an organization to provide value, maintain competitive advantage, and streamline core functions.
• Choice of Career: Health Information Management The present-day world dictates conditions to specialists, and its primary orientation is technological development as well as its practical implementation within healthcare facilities.
• Information Management and Related Issues in Business Business organizations should embrace the use of technology. It is virtually impossible for any organization to operate without technology.
• Integration of Health Information Management System (HIMS) into Healthcare This paper aims to research the integration of the Health Information Management System (HIMS) into healthcare. The HIMS chosen for this project are the EHR and EMR.
• System Implementation: The Health Information Management Systems The Health Management Information System is a fundamental domain in strengthening the health systems, it helps plan management, analysis, making policies, and making decisions.
• Information Technology Project and Risk Management One technological risk is the shortage of indigenous information technology companies in the area of interest. This shortage leads to a deficiency of technically skilled staff.
• Health Information and Office Management The health information management system is essential in the healthcare industry. It helps make better decisions, organize data efficiently, and solve health-related issues.
• System Analysis of Health Information Management The purpose of this paper is to examine the current health information management system utilized by the ABC Clinic and to propose a new approach in this regard.
• Information Technology Project Portfolio Management Project portfolio management (PPM) is beneficial to IT professionals in several ways apart from an overall increase in efficiency of monitoring and evaluation of ongoing projects.
• E-Government and Information Age Management The gradual development of technological science in the contemporary world has remained the most anticipated issue in any developed and developing economy
• Information Sharing in Supply Chain Management This paper will describe two articles on information sharing in a supply chain, explain how they relate to Porter’s five competitive forces model.
• Marking Information System for Customer Management Marking Information System will ease the managers’ work with different groups of customers, allowing them to use an individual approach to clients.
• Disaster Planning and Health Information Management This paper discusses promising measures and practices to help the organization to avoid situations with loosing all health information in case of future disastrous events.
• Managing Information of Sakhr Software Co This paper would consider the concepts of managing information of Sakhr Software, which is a popular language software company.
• Issues of Information Systems Management and Accounting This paper outlines the issues in accounting and ratio analysis, business terms and budget, information systems, computer-based IS threats, and e-business and e-commerce.
• Managing Project Teams: Leadership and Information Systems Development Each participant in the project solves individual tasks set by the project manager, but some tasks can be solved exclusively through collective interaction.
• Universal Information Security Management Measures The cloud computing approach has become the dominant technology paradigm across the entire enterprise IT infrastructure.
• Information Technologies & Risk Management in Business The key point of risk management is their constant monitoring and prevention, ideally coordinated with the duration of project development cycles.
• Information Management Improving Patient Care Technology Information management allows each patient’s data to be recorded, stored, and easily retrieved by health professionals when needed.
• Hospital Information Management Systems Hospital information management systems (HIMSs) are vital for improving healthcare quality, and they let healthcare professionals make data-driven decisions.
• Business Process & Information Technology: Supply Chain Management IT based Grid technology powered supply chain relies on network boosted through World Wide Web, internet and intranet.
• FansivOps International: Information Security and Risk Management FansivOps needs to formulate a proper and effective information security and risk management policy regarding opening a new branch office in the southern region of Sudan, Africa.
• Managing Information Systems Strategy and Security Risks in EasyShopping Ltd The goal of this paper is to examine the EasyShoping Ltd strategy to employ information systems through online shopping sites, to enhance its competitive advantages.
• Information Systems and Project Management Performance The authors assert that requirements instability and requirements diversity are related to stakeholder perception gaps and this can be tied in with project performance.
• Operations and Information Management of CC Music The given report outlines the main features of CC Music, a company founded by Chris and Clive. It focuses on the provision of specific services to bands that include social media marketing.
• Information Management in Different Organizations The paper examines the information management systems in the Military of the United Arab Emirates and their advantages and disadvantages.
• Real Estate Company’s Information Management The report addresses the concerns and constraints that real estate firms have to face during the implementation of their key objectives and management of customers’ needs.
• Emeco Company’s Information Management Information management plays a critical role in modern business. The presented paper is devoted to the investigation of the furniture industry and the problem Emeco experiences.
• Information Technology-Based Data Management in Retail The following paper discusses the specificities of data management and identifies the most apparent ethical considerations using retail as an example.
• Healthcare Information Project Management The development of a healthcare IT project is likely to require the collaboration of informatics professionals (IP) and the clinical staff to ensure its success.
• Information Management Systems: E-Business of Transport for London This paper explores the benefits accrued by organizations or institutions by embracing the modern methods of managing information.
• Azzaz Shop’s Operations and Information Management Azzaz is a mobile phone and accessories retailer based in England, owned by Lewis. The business started with a single shop, which Lewis has grown into a chain of eleven.
• Global Information and Technical Management Information technology has the potential to coordinate a single customer service center in the company, which will take up the tasks that multiple customer service centers.
• Applying Information Management Solutions Improvement of healthcare quality and provision of patient safety are the primary concerns of healthcare providers.
• The Current Information Management System Improvement The tools used for data analysis and the output is delivered by the staff members when adopting each of these devices can be considered the primary variables to be analyzed.
• Information Systems and Their Management The existence of numerous information systems, including closed corporate ones, allows for transferring the required information to the end user within moments.
• Information Management System Practical Solutions An effective information management system involves planning, proper alignment, and efficient management. Its periodical review ensures it suites the technological changes.
• Accounting Information Management and Performance of Small Business Enterprises
• Information Management Model for Competencies and Learning Outcomes in an Educational Context
• Soft Information Management Effects on Lending Credit Terms in Japan
• How Technology Can Assist or Hinder Information Management Practices in Organizations
• The Impact, Challenge, and Solution of Information Management in Virtual Organizations
• Enhancing Information Management Through Data Mining Analytics
• Air Asia Operational Information Management in Strategy and Operations
• Organizational Performance Through Information Management
• Integrating Data and Information Management for Social Protection
• The Army’s Personnel and Recruiting Information Management Systems
• Information Management: Medical Record as a Legal Document
• The Cost and Information Management Effect in SMEs
• The Essence of Using Communications and Information Management Technologies
• Future Technologies and Applications Within Information Management
• The US American Health Information Management Association on the Adoption of the Electronic Databases
• Applying Meaningful Use Principles to Information Management Systems
• Information Management Strategies and Supply Chain Performance Under Demand Disruptions
• Cloud Computing: The Future of Business Information Management
• MNEs and Information Management: Structuring and Governing IT Resources in the Global Enterprise
• Harnessing the Infrastructure and Data Involved in Information Management
• Information Management for Public Participation in Co-design Processes
• Records and Information Management: Efficient and Systematic Control of Records
• Social Networks and Their Impact on Records and Information Management
• Understanding the US Generic Advertising System and Its Role in Information Management
• The Use of Machine Learning Algorithms in Optimizing Inventory Management in Accounting Information Technology
• Designing a Smart Healthcare System Using Wearable Devices and Data Analytics for Remote Patient Monitoring
• Assessing the Role of Cloud Computing in Optimizing Resource Allocation and Scalability in Enterprise Systems
• The Role of Machine Learning Models in Predicting Stock Market Trends in Computer Science Information Systems
• Developing a Smart City Framework Integrating IoT Devices and Data Analytics for Improved Urban Planning
• The Significance of User Experience (UX) Design in Improving the Usability of Information Systems
• Evaluating the Role of Data Visualization Techniques in Understanding Complex Information System Data
• Analyzing the Adoption and Integration of the Internet of Things (IoT) in Modern Information Systems
• The Challenges and Opportunities of Cloud Computing in Information System Management
• Investigating the Role of Artificial Intelligence in Personalizing User Experiences in Information Systems
• Integration of Enterprise Resource Planning Systems in Organizational Processes
• Potential of Blockchain Technology in Ensuring Data Integrity and Security in Supply Chain Management
• Information Systems in Disaster Management and Emergency Response
• Blockchain-Based Voting System for Secure and Transparent Elections
• The Role of Information Systems in Enabling Personalized and Targeted Marketing Strategies
• Predictive Analytics in Supply Chain Management for Demand Forecasting
• Gamification Techniques to Enhance User Engagement and Motivation in Online Learning Platforms
• Information Systems in Optimizing Energy Consumption and Promoting Sustainability in Organizations
• Data Governance in Ensuring Data Quality and Compliance in Organizations
• Quantum Computing in Solving Complex Problems in Information Systems
• Artificial Intelligence for Intelligent Document Management Systems
• Data Warehousing and Business Intelligence for Data-Driven Decision Making
• Knowledge Management System to Improve Organizational Learning and Innovation

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These essay examples and topics on Information Management were carefully selected by the StudyCorgi editorial team. They meet our highest standards in terms of grammar, punctuation, style, and fact accuracy. Please ensure you properly reference the materials if you’re using them to write your assignment.

This essay topic collection was updated on December 27, 2023 .

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Ten Topics to Get Started in Medical Informatics Research

Markus wolfien.

1 Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany

2 Center for Scalable Data Analytics and Artificial Intelligence, Dresden, Germany

Najia Ahmadi

3 Core Unit Data Integration Center, University Medicine Greifswald, Greifswald, Germany

Sophia Grummt

Kilian-ludwig heine, dagmar krefting.

4 Department of Medical Informatics, University Medical Center, Goettingen, Germany

Andreas Kühn

Ines reinecke, julia scheel.

5 Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany

Tobias Schmidt

6 Institute for Medical Informatics, University of Applied Sciences Mannheim, Mannheim, Germany

Paul Schmücker

Christina schüttler.

7 Central Biobank Erlangen, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

Dagmar Waltemath

8 Department of Medical Informatics, University Medicine Greifswald, Greifswald, Germany

Michele Zoch

Martin sedlmayr.

The vast and heterogeneous data being constantly generated in clinics can provide great wealth for patients and research alike. The quickly evolving field of medical informatics research has contributed numerous concepts, algorithms, and standards to facilitate this development. However, these difficult relationships, complex terminologies, and multiple implementations can present obstacles for people who want to get active in the field. With a particular focus on medical informatics research conducted in Germany, we present in our Viewpoint a set of 10 important topics to improve the overall interdisciplinary communication between different stakeholders (eg, physicians, computational experts, experimentalists, students, patient representatives). This may lower the barriers to entry and offer a starting point for collaborations at different levels. The suggested topics are briefly introduced, then general best practice guidance is given, and further resources for in-depth reading or hands-on tutorials are recommended. In addition, the topics are set to cover current aspects and open research gaps of the medical informatics domain, including data regulations and concepts; data harmonization and processing; and data evaluation, visualization, and dissemination. In addition, we give an example on how these topics can be integrated in a medical informatics curriculum for higher education. By recognizing these topics, readers will be able to (1) set clinical and research data into the context of medical informatics, understanding what is possible to achieve with data or how data should be handled in terms of data privacy and storage; (2) distinguish current interoperability standards and obtain first insights into the processes leading to effective data transfer and analysis; and (3) value the use of newly developed technical approaches to utilize the full potential of clinical data.

Introduction

Digital health care information, as opposed to analog information, empowers clinicians, researchers, and patients with a wealth of information aiming to improve diagnosis, therapy outcome, and clinical care in general. According to Wyatt and Liu [ 1 ], medical informatics is the study and application of methods to improve the management of patient data, clinical knowledge, population data, and other information relevant to patient care and community health. Medical informatics can be seen as the subset of health informatics that is focused on clinical care, while the latter encompasses a wider range of applications. However, knowing, integrating, and using current computational technologies bears numerous pitfalls, limitations, and questions [ 2 ]. To shed light on current standards, applications, and underlying technologies, we present 10 topics to get started in the field of medical informatics research. Our key objective here was to improve interdisciplinary communication among stakeholders (eg, clinicians, experimental researchers, computer scientists, students, patient representatives), thereby bringing everyone on the same page of state-of-the-art medical informatics practices. In particular, improved interdisciplinary communication is essential in real-world problems and can be motivated by the following aspects:

• Advancing open research: Open collaboration between parties from different disciplines can lead to new research questions, innovative approaches, and novel discoveries [ 3 ].
• Bridging knowledge domains: Interdisciplinary communication can stimulate novel solutions, allowing researchers to gain a more comprehensive understanding of a specific problem or phenomenon [ 4 ], or can improve clinical decision-making [ 5 ].
• Addressing complex problems: Complex problems, such as the latest disease outbreak, require input from multiple domains to be comprehensively understood. Here, interdisciplinary communication is one key aspect to pinpoint the root causes and develop effective solutions [ 6 ].
• Promoting scientific inclusivity and diversity: Interdisciplinary communication was recently shown to foster diversity and inclusivity in science, by bringing together researchers from different backgrounds, cultures, and perspectives [ 7 , 8 ].

Here, we describe in detail how the initial topics have been selected from the literature and what design principles and structure each topic follows. A brief outline of the utilized methods for topic dissemination and an exemplary embedding into an educational training program are also presented.

Topic Selection

The initial topics were defined based on current developments in the health informatics field and an increasing number of published manuscripts between 2000 and 2021 (based on title-abstract-keyword screening in Scopus using the keywords “Health” AND “Informatics” AND “domain”) in the respective subdomains ( Figure 1 A). After a first definition of the specific topics, these were critically revised by internal and external domain experts, as well as scientists previously not familiar with medical informatics research.

Schematic summary and representation of the presented topics: (A) brief literature screening (title-abstract-keywords) for published manuscripts between 2000 and 2021, and the y-axis gap provides improved visibility of the less-occurring keywords; (B) most common topic terminologies, keywords (color-coded sections), and potential connections (grey) among topics in the medical informatics research domain. CDSS: clinical decision support system; CIS: clinical information system; EHR: electronic health record; ETL: extract, transform, and load; FAIR: findable, accessible, interoperable, reusable; FHIR: Fast Healthcare Interoperability Resources; GDPR: General Data Protection Regulation; i2b2: Informatics for Integrating Biology and the Bedside; OMOP: Observational Medical Outcomes Partnership.

Topic Design

The initial number of important topics and keywords exceeded the anticipated number of 10 topics, which found inspiration from the “Ten Simple Rules” collection in PLOS Computational Biology [ 9 ]. This is why the authors merged the most matching terms topic wise into groups. These groups finally produced topics that represent the broad range of the medical informatics domain in 3 main concepts, namely “Regulations and concepts,” “Harmonization and processing,” and “Evaluation, visualization, and dissemination” ( Figure 1 B). Figure 1 B also shows the initial keywords for each individual topic, as well as potential cross references between topics, which are highlighted in grey. The following sections provide important “do's and don'ts,” practical hints, and best practice guidelines. Further in-depth resources and practical tutorials will provide basic introductions to the referred domains. Kohane et al [ 10 ] already showed the importance of such clarifying introductions. This work extends the initial study and, in addition, provides detailed examples from the German national Medical Informatics Initiative (MII) [ 11 ].

All topics were divided into 3 parts to improve comprehension by the readers:

• Introduction: Background definitions for the specific context that motivated the topic
• Insight: Practical context to get started, including how to avoid pitfalls, state current limitations, and address current challenges
• Impact: Take home message and useful resources and best practices to deepen knowledge about the topic

Topic Utilization, Extension, and Embedding

Since it is of the utmost importance to keep the content current and as versatile as possible, we initiated an online resource at GitHub, in which contributions are highly emphasized [ 12 ]. Here, keywords and the corresponding literature are collected to allow for swift extension of the currently presented literature body in this article. In addition, the introduction of novel important topics that are not covered in this article might be included. To additionally demonstrate the practicability and adaptability of our proposed topic content, we exemplarily present how these can be embedded in higher education training and share external, introductory hands-on material ( Table 1 ).

Summary of tutorials and hands-on material about medical informatics standards and applications.

a SNOMED CT: Systematized Nomenclature of Medicine and Clinical Terms.

b ETL: extract, transform, and load.

c OMOP: Observational Medical Outcomes Partnership.

d CDM: common data model.

e FHIR: Fast Healthcare Interoperability Resources.

f OHDSI: Observational Health Data Sciences and Informatics.

g PLP: patient-level prediction.

h ODI: Open Data Institute.

Regulations and Concepts

Topic 1: privacy and ethics—“data privacy and ethics are the most important assets in the clinical domain.”.

Health information is sensitive and hence needs to be highly protected and should not be generously shared. Sharing regulations and data privacy matters are defined in the European General Data Protection Regulation (GDPR) [ 13 ]. The implementation of the GDPR is an ongoing process as the quickly evolving technology, data, and scientific practices demand continuous improvement, which include periodic adaptations of the technical and legal aspects [ 14 , 15 ]. In terms of ethics and with the rise of novel technologies, like artificial intelligence (AI), the possible re-identification of data, such as images and genomic information, is a major concern [ 16 , 17 ].

Anonymization is one important way to keep data private. It can also be achieved for high-dimensional data by changing patient-specific identifiers through removal, substitution, distortion, generalization, or aggregation [ 18 ]. In contrast, data pseudonymization is another de-identification procedure by which personally identifiable information fields within a data record are replaced by one or more artificial identifiers or pseudonyms [ 19 ]. To overcome the paucity of annotated medical data in real-world settings and (fully) save the patients’ anonymity, synthetic data generation is used to increase the diversity in data sets and to enhance the robustness and adaptability of AI models [ 20 ]. To conform with ethical regulations in a research context, medical data are only available in a highly controlled manner and according to strict procedures. New concepts, such as “systemic oversight” [ 21 ] or “embedded ethics” [ 22 ], might be needed to tackle the new data-driven developments around “medical big data” and AI in health care. To engage with the adoption of broad consent, systemic oversight was suggested as an approach, in which mechanisms like auditing mechanisms, expert advice, and public engagement initiatives (among others) should be adapted as additional layers to the newly arising ecosystem of health data [ 21 ]. Recently, embedded ethics was jointly suggested by ethicists and developers to address ethical issues via an iterative and continuous process from the outset of development, which could be an effective means of integrating robust ethical considerations into practical development [ 22 ]. A digital representation of information encoded in signed consent forms is needed to facilitate common data use and sharing, as already implemented in an MII informed consent template [ 23 ].

As a researcher in medical informatics, it is inevitable to be informed and knowledgeable about the fact that patients own their medical records and any use of those data requires great care. In Germany, health care providers can only use the data for first medical use. Secondary use, like research, needs to be approved by either broad or individual consent, which can be made available via the electronic health record (EHR). In addition to digitization efforts, it is still a considerable hurdle to convince patients to make their data available for medical research because personal skepticism commonly makes the entire data acquisition process more difficult [ 24 ]. Here, well-received external communication, transparency, and increased awareness are necessary for substantial improvements. In general, it is a balance between privacy, patient needs, and the use of data for the common good versus economic interests [ 25 ]. In particular, one should be aware of the specific legal regulations that apply within the country and additionally get in touch with the relevant data protection departments. Following this, a plan for infrastructure that meets these regulations and that contains, for example, a trustee for the electronic recording of patient consent and anonymization or direct pseudonymization processes to collect the data needs to be developed. Risk assessments for potential data leakage, approvals by ethics committee, as well as consultation with a data protection officer are essential considerations to further assure data security.

Topic 2: EHR and Clinical Information Systems—“Get to Know Your Clinical Information System to Understand the Required Data.”

Hospitals run clinical information systems (CIS) to collect, store, and alter clinical data about patients. A CIS, independent of the specialization and specific vendor, covers many clinical subdomains and integrates patient-related data to support doctors in their daily routine. Without a doubt, medical data are only useful if meaningful information can be derived from them. This requires high-quality data sets, seamless communication across IT systems, and standard data formats that can be processed by humans and machines [ 2 ]. Typical challenges in clinical IT implementations, especially for patient recruitment systems, were recently evaluated by Fitzer et al [ 26 ] for 10 German university hospitals, including requirements for data, infrastructure, and workflow integration. The implementation of an EHR, including an individual's medical data in a bundled form, into the CIS is a key aspect to prevent low reliability and poor user-friendliness of EHRs, which has recently been shown to affect time pressure among medical staff [ 27 ]. For example, in Scandinavia, the United States, and the United Kingdom, the Open Notes initiative [ 28 ] facilitates patients’ access to EHRs and health data sharing via “PatientsKnowBest ” to give health care professionals and families direct access to medical information [ 29 ].

An EHR is used primarily for the purposes of setting objectives and planning patient care, documenting the delivery of care, and assessing the outcomes of care [ 30 ]. EHRs have so far consisted of unstructured, narrative text as well as structured, coded data. Thus, it will be necessary to implement more systematic terminologies and codes so that the data contained in these records can be reused in clinical research, health care management, health services planning, and government reporting in an improved manner [ 31 , 32 ]. Since the domain of medical informatics is rather new, there are many possibilities for software solutions to improve EHR-related issues [ 33 ]. Exemplary for the EHR domain, the Systematized Nomenclature of Medicine and Clinical Terms (SNOMED CT) is utilized to develop comprehensive high-quality clinical content [ 34 ]. It provides a standardized way to represent clinical phrases captured by the clinician and enables automatic interpretation of these, which is showcased in a “five-step briefing” [ 35 ]. Interestingly, the number of annual publications on this subject has decreased since 2012. However, the need for a formal semantic representation of free text in health care remains, and automatic encoding into a compositional ontology could be a solution [ 36 ]. In terms of usability and user acceptance, evaluations and improvements of EHRs and clinical decision support systems (CDSS) are currently ongoing [ 37 ], for which already well-received examples can be attributed to CeoSYS [ 38 ] or the IPSS-M Risk Calculator [ 39 ]. Moreover, the actions of patients directly contributing to their own EHR records are also being evaluated. The study by Klein et al [ 40 ] indicates that such an approach facilitates the development of individual solutions for each patient, which in turn requires a flexible EHR during the course of a treatment process. Additionally, it was argued that data incorporation via different devices can also facilitate the convenient utilization of the application and, hence, may increase secondary use.

Modern CIS support the interaction by doctors and patients with the recorded patient data (eg, using the EHR or patient portals, eHealth platforms). It is important to understand the basic architecture, especially challenges [ 26 ], of the hospital IT infrastructure to know where data are located and how they can be retrieved and integrated. Major improvements can be made when supporting international standards for data exchange. Beyond standard EHR, this includes interoperability standards like Fast Healthcare Interoperability Resources (FHIR; see Topic 6) and standard data models like the Observational Medical Outcomes Partnership (OMOP; see Topic 7). These criteria should be considered with every new order of clinical systems.

Topic 3: Data Provenance—“Trace Your Data, Even Within Large-scale Efforts.”

Meaningful and standardized metadata facilitate the interpretation of, retrieval of, and access to data [ 41 ]. When explainable data are processed with interoperable tools, scientists can create automated and reusable workflows and provide access to reproducible research outcomes and data analysis pipelines [ 42 ].

Data provenance describes the history of digital objects, where they came from, how they came to be in their present state, and who or what acted upon them [ 43 ]. In health care, provenance maintains the integrity of digital objects (eg, the results of data analyses engender greater trust if their provenance shows how they were obtained). In addition, it can be used to deliver auditability and transparency, specifically, in learning health systems, and it is applicable across a range of applications [ 44 ]. Inau et al [ 45 ] argued that the lessons learned from “FAIRification” processes in other domains will also support evidence-based clinical practice and research transparency in the era of big medical data and open research. Further work demonstrated that a findable, accessible, interoperable, reusable (FAIR) research data management plan can provide a data infrastructure in the hospital for machine-actionable digital objects [ 46 ]. Recently, the openEHR approach was also suggested for creating FAIR-compliant clinical data repositories as an alternative representation [ 47 ].

Key data management requirements are defined by the FAIR guiding principles [ 48 ]. Since data protection laws led to additional requirements for data privacy and data security, the FAIR-Health principles focused on defining additional requirements for information on the sample material used from biobanks, for provenance information, and incentive schemes [ 49 ]. Further work is needed to establish provenance frameworks in health research infrastructures [ 50 ].

Topic 4: Data Sharing—“If Data Won’t Come to the Model, the Model Must Go to the Data.”

Cross-sectional medical data-sharing is critical in modern clinical practice and medical research, in which the challenge of privacy-preserving transfer and utility needs to be addressed [ 51 ]. In order to facilitate high reuse of the data, a decentralized computational scheme that treats the available data as part of a federated (virtual) database, avoiding centralized data collection, processing, and raw data exchanges, is still needed in many countries to analyze large and widespread clinical data [ 52 ].

One possible solution for this federated learning approach is DataSHIELD [ 53 ]. In particular, orchestrating privacy-protected analyses of “medical big data'' from different resources is applicable within R and DataSHIELD [ 54 ]. Here, the developed computerized models represent mathematical concepts or trained machine learning (ML)–based approaches to solve a specific task. In this sense, the model is applied to distributed data sets of the protected (clinical) server infrastructure, and the user only sees the model results but does not retrieve any medical records. Moreover, implementations in other programming languages (eg, Python, Julia) have been introduced in the genomic domain and beyond [ 55 ]. Further concepts, such as Personal Health Train, specifically follow the FAIR principles during distributed analyses [ 56 ]. Secure multiparty computation (SMPC) is also a viable technology for solving clinical use cases that require cross-institution data exchange and collaboration [ 57 ]. Current limitations are thought to be addressed in a stepwise manner [ 58 ] or as blockchain [ 59 ].

By using approaches for distributed analyses, researchers are able to train, test, and validate their models on large-scale real-world clinical data. In combination with standardized data formats, these 2 concepts facilitate the use of those models in clinical routine, potentially in the form of a CDSS. This provides a basis for secondary use of observational data in the context of clinical trials, which show particular potential for identifying data characteristics in small cohorts (eg, identification of the individual patient risk for rare diseases or comorbidities).

Harmonization and Processing

Topic 5: extract, transform, and load (etl)—“ etl processes are computational approaches for data harmonization and data unification.”.

Data handling in medical informatics remains a major challenge. Even though most data in medicine are available electronically, the data often lack interoperability [ 60 ]. As a first step to actually use the data, processes to extract, transform, and load (ETL) are needed to obtain harmonized data from different data systems or clinical entities. One important example, among many others, reflects the uniform representation of the date and time in a common format (eg, Year-Month-Date, not Date-Month-Year). The ETL process is therefore a crucial, individual step toward data unification in large clinical systems, which must be secure, safe, and accurate [ 61 ].

The design of an ETL process faces several challenges, including the following: (1) The ETL process should be able to process huge amounts of data at once [ 62 ]; (2) the ETL process should be repeatable—if the source data change, the ETL process needs to be rerun to process the source data (Observational Health Data Sciences and Informatics [OHDSI]) [ 63 ]; (3) expert-level anonymization methodologies might be integrated into ETL workflows whenever possible [ 61 ]; and (4) there is a need to check for loss of data and compromised data integrity. The latter was highlighted in a recent study, in which inaccurate cohort identification took place because erroneous vocabulary mappings of a common data model were used (eg, ETL programming bugs and errors not captured during the quality assurance stages) [ 64 ]. Common solutions to implement ETL processes are code-based (eg, FHIR-to-OMOP [ 65 ]) or via Pentaho Data Integration, which is one of many ETL tools. Further subsequent processing may also include loading data into research data repositories, like OMOP (see Topic 7), tranSMART, and Talend Open Studio, which is a central component of the Integrated Data Repository Toolkit [ 66 ].

Since ETL processes are at the core of data handling, all risks associated with the ETL process need to be thoroughly checked, identified, and assessed, and contingency plans to mitigate these risks should be in place [ 67 ]. Once the ETL processes are executed, the resulting data will be trusted by researchers, who heavily rely on comprehensively checked data integrity to be able to conduct their research on this basis.

Topic 6: FHIR—“Set FHIR to Gain a Communication Standard for Real-time Applications at the Device-to-Device Level.”

Interoperability levels can be divided into technical, syntactic, semantic, and organizational interoperability [ 2 ]. Semantic and syntactic interoperability can be ensured by communication exchange standards, such as the FHIR [ 68 ] standard of Health Level 7 (HL7) and medical terminologies. A suitable starting point for the basic procedures is offered by FHIR drills [ 69 ] or fire.ly [ 70 ].

FHIR is one of many communication standards but will likely change the domain of clinical IT significantly [ 71 , 72 ]. As a communication standard, FHIR harmonizes data formats coming from different CIS and enables data exchange between institutions via a RESTful approach [ 73 ]. Moreover, FHIR is used to connect devices with each other, which means, in particular, that the Integrating the Healthcare Enterprise (IHE) [ 74 ] standard has been revised to support HL7 messaging as well. In turn, IHE has been developing an open-source device tool set for home and hospital use that recently enabled device control capabilities, a capability accelerated during the COVID-19 pandemic to allow nurses and physicians to operate ventilators and infusion devices outside the contaminated patient room [ 75 ].

Utilizing FHIR in multiple applications already shows its versatile and flexible use (eg, in mobile health applications [ 76 ], electrocardiogram monitoring [ 77 ], or wearable devices and precision medicine in digital health [ 72 ]). In particular, the SMART-on-FHIR technology enables third-party app development for health care applications [ 78 ] and encompasses feasible, secure, and time- and resource-efficient solutions [ 79 , 80 ].

Topic 7: OMOP—“Use Common Data Models as Well-defined Representations of Large-scale Research Projects.”

Data harmonization enables research teams to run real-world observational studies based on heterogeneous data across country borders. Thus, harmonized data embedded in a common data model (CDM), which is an agreement about the utilization of standardized terminologies for data representation, is crucial to exchange data and results on a large scale. To foster reliability and trust in the results of observational research on real-world data, it is essential to utilize CDMs whenever possible to ensure a high degree of data analysis reproducibility.

Several CDMs exist for that purpose; the OMOP CDM from the OHDSI community is one of the most promising and established approaches. In comparison with other CDMs, such as the Sentinel CDM or Informatics for Integrating Biology and the Bedside (i2b2), the OMOP CDM has broader terminology coverage [ 81 ]. The importance of the OMOP CDM increased a lot over the last years [ 82 ], not least since the European Medicines Agency initiated the Data Analysis and Real World Interrogation Network (DARWIN) [ 83 ] project to establish a research network in Europe to gain real-world evidence based on OMOP. Moreover, representations of genomic data [ 84 ], oncology [ 85 ], and imaging projects [ 86 ] are also suitable. In addition, the common representation of the data in OMOP semantic interoperability is ensured by utilizing international terminologies and vocabularies, such as SNOMED-CT, the International Statistical Classification of Diseases and Related Health Problems (ICD), the Logical Observation Identifiers Names and Codes (LOINC), and RxNorm to represent every clinical fact in OMOP. Additionally, the open-source OHDSI software stack provides standardized methodology and libraries for data analyses (Athenahene, Atlas, HADES) and training (EHDEN Academy) [ 87 ], as well as a framework to assess and improve data quality to foster reliability and trust in research results [ 88 ].

The OMOP CDM is one possibility to represent and analyze clinical data on a research scale. Definition of new cohorts within OMOP enables researchers to quickly investigate questions spanning multiple research entities. Collectively, both FHIR and OMOP can define the structure and relations of the clinical data corpus, and the individual EHRs provide content to these standardized data reservoirs. In comparison, OMOP is commonly used for static large-scale data analysis of research data, and FHIR is more suitable for rapid data integration scenarios (ie, for real-time applications and analysis). In summary, it is important to know and utilize newly established standards to participate in broader clinical networks for research. This way, all information within the EHR is comparable across different clinical sites and research settings.

Evaluation, Visualization, and Dissemination

Topic 8: data quality—“guarantee high quality and then publish the data.”.

What is meant to be appropriate data quality for health informatics research? In this domain, data quality depends on the quality of single data elements, data completeness, data conformance, and data plausibility aspects that may considerably determine the validity and veracity of analysis results [ 89 , 90 ]. Moreover, data quality across different institutional entities and even health sectors requires additional efforts concerning the different personnel, instruments, and more [ 91 ]. High-quality data at hand is one fundamental requirement that is often difficult or impossible to achieve, which is why the generation of synthetic data can be an alternative that satisfies privacy problems as well as research needs when data are expensive, scarce, or unavailable by augmentation [ 92 ].

First, a major problem is that clinical data have to be electronically recorded, accessed, and standardized in order to run quality assessment processes [ 26 ]. In addition, it would be important to design and use the same data quality tool, standard operating procedures, or ETL mapping rules in all involved institutions. However, in real-life scenarios, there is a lack of both centrally coordinated data quality indicators and formalization of plausibility rules, as well as a repository for automatic querying of the rules, especially in ETL processes [ 93 ]. Although numerous data quality evaluation frameworks exist, no clear and widespread approach has been adopted so far [ 67 , 94 - 96 ]. Even after a well-chosen data quality procedure is properly implemented, clinical data as such cannot be published along with the performed study. As an alternative, synthetic data generation models function in the following 2 different ways: (1) The model is trained, for example, using real-world data and, once trained, will not require any data in the future (model-based approaches), and (2) the model is constantly fed with data to generate synthetic data (data-driven approaches). There are 3 different categories of algorithms used in the generation of synthetic data: probabilistic models, such as Bayesian networks [ 97 ] and Copulas [ 98 ]; ML, such as Classification and Regression Trees (CART); and deep learning methods, such as a generative adversarial network (GAN) [ 99 - 101 ] and variational autoencoder (VAE) [ 102 ].

A combination of appropriate data quality evaluation and synthetic data generation highly facilitates the development of accurate AI models, which are essential in medical studies [ 103 ]. Thus, a corpus of high-quality synthetic data with many patients can be reused by other AI experts for model development and benchmarking. Moreover, it is essential to create an infrastructure that is used across a large community of hospitals; maps the entire treatment process electronically; and only generates interoperable, structured data based on FHIR (Topic 6) and OMOP (Topic 7) in accordance with the FAIR principles (Topic 3). Afterward, one can finally run quality assessment processes.

Topic 9: Clinical Decision Support Systems—“Bring Insights, Not Additional Work, Back to the Clinics via a CDSS and Other User-Centric Applications.”

CDSS are computer systems designed to assist the medical staff with decision-making tasks about individual patients and based on clinical data [ 104 ]. The decision-making process is still, and will remain, on the shoulders of the physician [ 105 ]. The categories of CDSS include knowledge-based systems that make use of clinical rules, nonknowledge-based systems (eg, AI-based systems), and hybrid CDSS that likewise utilize clinical models and knowledge in combination with AI.

The use of a CDSS in a well-implemented clinical workflow has many positive aspects. It may lead to fewer error rates [ 106 ], accelerate rare disease diagnosis [ 107 ], increase radiologists’ job satisfaction [ 108 ], offer personalized cancer treatment [ 109 ], or help with real-time cardiovascular risk assessment [ 110 ]. Interestingly, computerized alerting systems, which are one of the most disseminated CDSS, can decrease drug-drug interactions significantly [ 111 ]. On the other hand, if done improperly, a CDSS can cause alert fatigue by creating too many alerts. If a system is not context-sensitive, alerts can even be inappropriate [ 112 ]. According to Olakotan et al [ 112 ], influencing factors of a well-designed CDSS need to include aspects about the (1) technology (eg, usability, alert presentation, workload, and data entry), (2) human (eg, training, knowledge, skills, attitude, and behavior), (3) organization (eg, rules and regulations, privacy, and security), and (4) and process (eg, waste, delay, tuning, and optimization). To avoid a lack of transparency and facilitate acceptance by physicians, especially with nonknowledge-based systems, current CDSS seek to use explainable AI approaches; however, the selection of methods used to present explanations in an informative and efficient ( clinically useful ) manner remains challenging [ 113 ]. Of note, a CDSS may also have a negative influence on the performance of physicians, especially if inadequate suggestions occur more often, which cannot be compensated with explanations [ 114 ]. However, one among many other prominent approaches to obtain such explanations via ML-based feature selection and ranking can be found in the work from Wolfien et al [ 115 ]. In terms of an OMOP-based implementation in research, there is patient-level prediction (PLP), which is designed to foster the clinical decision-making process concerning diagnoses or treatment pathways based on the EHR of the patient and the current clinical guideline. It is used to answer questions, such as identifying patients among a larger population at higher risk of a certain outcome (eg, occurrence of cancer, severe side effects, or death) by using data in standardized formats (eg, as previously described via OMOP CDM). Once the model is designed, the covariates will be extracted from the respective CDM of the target person within the cohort, and the respective outcome will be predicted (eg, via PLP [ 116 , 117 ] or other customized prediction algorithms). Importantly, the results from model prediction should first be internally validated with previously unseen data and afterward compared with established scoring systems (eg, Framingham Risk Score [ 118 ], SCORE2 [ 119 ]) to connect with already known domain-specific contexts and to prove its benefit in clinical practice. An additional validation with external data, as part of a multicenter study, can be seen as highly beneficial, in which the already presented topics of federated learning (Topic 4) and OMOP (Topic 7) could significantly foster such an essential scenario [ 120 ].

Collectively, a CDSS increases patient safety, assists in clinical management, and can be cost-effective [ 104 ]. In general, findings of even erroneous CDSS can be used to guide the design of new CDSS alerts. However, the existing risks cannot be solved solely on a technical basis and require an interdisciplinary effort. In particular, continuous, clear communication between IT professionals (developers) and health professionals (end users) during the design process is key. Only a profound understanding of the needs and requirements of either of the involved parties can lead to well-designed systems that are actually able to support and relieve physicians in doing their job.

Topic 10: Visualizations—“Improved Dissemination of Local and External Data From Computational Models by Well-defined Interactive Visualizations.”

Large volumes of data collected from patient registries, health centers, genomic databases, and public records can potentially improve the efficiency and quality of health care via enhancing the interoperability of medical systems, assisting in clinical decision-making, and delivering feedback on effective procedures [ 121 ]. However, each and every raw data point must go through different analytical processes until they become useful and interpretable at the point of care.

R and Python are 2 versatile open-source programming languages that have gained popularity for different purposes, such as preprocessing (eg, tidyverse), statistical tests (eg, dplyr), ML and deep learning (eg, mlr package, caret), visualization (eg, ggplot), and writing reports directly using knitr and R markdown (RStudio education [ 122 ]). Like R, Python offers different libraries for data science tasks (eg, open mined [ 123 ]) in addition to a library specifically for health predictive models, namely PyHealth [ 124 ]. Another versatile visualization functionality is offered for both languages via R Shiny [ 125 ] and Plotly Dash [ 126 ]. These 2 platforms enable data scientists to create interactive web applications directly from a script. The applications can be extended using embedded CSS themes, HTML widgets, and Javascript actions. There is already evidence that implementing clinical dashboards or CDSS for immediate access to current patient information can improve processes and patient outcomes [ 127 ], especially if the data sets are further evaluated and refined [ 128 ]. Similar to FHIR, OHDSI provides tools for analyzing data in the OMOP CDM, which are written in R and use Shiny for the visualization. As a plus, data already stored in the OMOP CDM format can be used in systematic studies, patient-level analysis, and population-based estimations from scratch. The cBioPortal is one prime example of a web resource for exploring, visualizing, and analyzing multidimensional data, which reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events [ 129 ]. It was recently demonstrated how cBioPortal can be extended and integrated with other tools to a comprehensive and easily deployable software solution that supports the work of a molecular tumor board [ 130 ] and even deliver meaningful scientific insights [ 131 ]. Another translational research platform for the construction and integration of modern clinical research charts is Informatics for i2b2, which is also at the heart of clinical research [ 132 , 133 ].

Computational approaches and data analyses are tightly connected with medical research; the visualization of such complex data for clinicians in a routine setting especially plays a larger role. The current developments of translational research platforms, such as cBioPortal and i2b2, enable swift translation of research results into the clinic, if adequately adopted and enough trained people supervise the process.

The need for qualified IT specialists in medical informatics has increased continuously in recent years and will continue to grow in the future. On the other hand, medical informatics in Germany faces problems with the ​​promotion of young researchers. These current developments mean that vacancies in IT in hospitals and the health care industry can often not be filled or only after very long vacancies. In addition, these positions often have to be filled with nonspecialist staff due to a lack of applications. To keep track of these recent developments and provide a basis for interdisciplinary communication, we provide our list of 10 topics that could be used by different stakeholders individually ( Figure 2 ). With a particular focus in medicine, improved interdisciplinary communication has already been shown to positively impact patient outcomes and enhance employee engagement [ 134 ].

Exemplary outcome visualization of the underlying study, in which the color coding reflects the initial colors of the proposed sections; it starts with an individual perception of the term medical informatics (MI) based on the individual’s background and ends with acquisition of common domain knowledge for current important topics. CDSS: clinical decision support system; EHR: electronic health record; ETL; extract, transform, and load; FAIR; findable, accessible, interoperable, reusable; FHIR; Fast Healthcare Interoperability Resources; OMOP: Observational Medical Outcomes Partnership.

Furthermore, medical informatics has developed rapidly in recent years. This applies, for example, to new methods, techniques, tools, framework conditions, and organizational structures, especially in the field of medical data science. In particular, definitions of standards and a national digitized data corpus, namely the German Core Dataset [ 135 ], were agreed upon. The actual assessment and collection of digitized data in local university hospitals are utilized in so-called data integration centers. These interoperable research data infrastructures enable rapid multisite research, for example, with complex COVID-19 research data sets (German Corona Consensus Dataset [GECCO]) [ 136 ] including clinical data and data on biosamples from all German university hospitals in pseudonymized form (CODEX) [ 137 , 138 ] or the COVID-19 Data Portal [ 139 ]. The subsequent formation of the Network University Medicine (NUM) strengthens the existing interaction between research and patient care, stabilizes existing structures, and creates new structures that ensure more effective feedback and close cooperation between the clinics. The presented examples of NUM and CODEX, among others [ 140 ], attempt a central approach to bundle and harmonize necessary resources like broad consent or the elektronische Patientenakte (ePa), which is the implementation of EHR as a national entity to ultimately facilitate an interconnected health care system.

Finally, all those involved in medical informatics are called upon to engage in lifelong learning and continuously acquire further qualifications.

Exemplary Implementation of the Addressed Topics in the German Medical Informatics in Research and Care in University Medicine Consortium

This article offers newcomers to medical informatics a first introduction and a wealthy overview of current IT-related topics in research and patient care. Nevertheless, there is also a need for further qualification of employees through new, innovative offers for training, further education, and further training. As part of the MII [ 11 ], all consortia were asked to develop and set up appropriate offers and formats. The Medical Informatics in Research and Care in University Medicine (MIRACUM) consortium [ 141 ] has reacted and set up the part-time training and further education program “Biomedical Informatics and Data Science” [ 142 ] and introduced it at the Mannheim University of Applied Sciences in October 2020. The program includes a time-flexible and individually adaptable part-time online master’s course, as well as certificate courses and programs for further scientific education. In addition to the establishment and continuous further development of a cloud-based learning platform, many new digital and target group–oriented learning resources and application-oriented learning environments were developed and introduced for the master's program.

All 10 topics listed in this article are reflected in the curriculum of the master’s degree and have been offered and dealt with in-depth in the individual courses for more than 2 years. The demand for the master’s program and certificate courses is high, and the evaluation has shown that these topic-specific foci correspond to the training and further education needs of the target groups. One particular aspect that was not covered in the final topics refers to the underlying infrastructure needed to provide the data storage and processing backbone. This aspect would have been too technical for a more broadly set, introductory article, such as this article. A starting point for more in-depth information about this aspect can be obtained from further literature [ 143 , 144 ]. However, to offer a practical start to the 10 topics, we provide links to well-known tutorials and hands-on materials ( Table 1 ).

We suggest a set of 10 topics to ease the start for researchers and clinicians to become engaged with basic concepts in health informatics research. We provide current review articles for more in-depth reading about the specific topic and present practical hands-on material. The presented topics likewise serve as a broad overview of the medical informatics research domain but also guide individuals and their specific interests. For example, a computer scientist familiar with CDSS development could more easily connect with important aspects, such as data privacy, FHIR, and specific EHRs that are highly relevant for daily work. In contrast, medical experts can obtain an overview of behind-the-scenes technologies, like ETL processes and underlying data quality approaches that are finally visualized as a summarizing clinical dashboard. For readers, we provided a first step toward an improved understanding of a lively and quickly expanding field, but more novel technologies and practical knowledge are ahead. Suggestions and contributions to improve the current topics can be made at GitHub, which will likewise enable content and readers to stay current [ 12 ].

Acknowledgments

This work was supported by the Federal Ministry of Health (BMG) and the German Federal Ministry of Education and Research (BMBF) within the Medical Informatics Initiative Medical Informatics in Research and Care in University Medicine (MIRACUM) Consortium (FKZ: 01ZZ180L [Dresden]; FZK: 01ZZ180A [Erlangen]; FKZ: 01ZZ1801M [Greifswald]). The article processing charge was funded by the joint publication funds of the Technische Universität (TU) Dresden, including the Carl Gustav Carus Faculty of Medicine; Saxon State and University Library (SLUB) Dresden; and the Open Access Publication Funding of the German Research Foundation (DFG).

The funding sources had no involvement in the conduct of the research and preparation of the article.

Abbreviations

Authors' Contributions: MW conceptualized the study, curated the data, and wrote the original manuscript draft. MW also defined the initial topics 1 and 2; MZ defined the initial topics 3 and 4; YP defined the initial topics 5 and 6; IR defined the initial topics 7 and 8; and NA defined the initial topics 8, 9, and 10. MS provided the resources and supervised the study. The topics were revised and extended by KF, AK, SG, DK, KLH, ICJ, CS, JS, TS, PS, and DW. MW, NA, YP, MZ, IR, and MS performed the formal analysis, and MW, NA, and MS created the visualizations. NA, YP, MZ, IR, and MS wrote, reviewed, and edited the manuscript, and all authors read and agreed to the final version of the manuscript.

Conflicts of Interest: None declared.

Management Research Paper Topics

The field of management is an extremely broad discipline that draws upon concepts and ideas from the physical and social sciences, particularly mathematics, philosophy, sociology, and psychology. Within business, the field of management includes research paper topics and ideas also common to marketing, economics, finance, insurance, transportation, accounting, computer technologies, information systems, engineering, and business law.

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Aggregate Planning B2B B2E Management Barriers to Entry Best Practices Brainstorming Business Plan Capacity Planning Content Management System Decision Rules and Decision Analysis Decision Support Systems Diversification Strategy Divestment Downsizing and Rightsizing Economies of Scale and Economies of Scope Environmentalism and Sustainability Exit Strategy Exporting and Importing Franchising Free Trade Agreements and Trading Blocs Futuring Gap Analysis Generic Competitive Strategies Globalization Goals and Goal Setting Group Decision Making Knowledge-Based View of the Firm Location Strategy Long Tail Macroenvironmental Forces Make-or-Buy Decisions Manufacturing Resources Planning Market Share Mergers and Acquisitions Miles and Snow Typology Multiple-Criteria Decision Making New Product Development Open and Closed Systems Operations Strategy Opportunity Cost Order-Winning and Order-Qualifying Criteria Porter’s Five Forces Model Product Life Cycle and Industry Life Cycle Production Planning and Scheduling Results-Only Work Environment Strategic Integration Strategic Planning Failure Strategic Planning Tools Strategy Formulation Strategy Implementation Strategy in the Global Environment Strategy Levels SWOT Analysis Synergy Upselling Zero-Based Budgeting

EMERGING TOPICS IN MANAGEMENT

Activity-Based Costing Affirmative Action Angel Investors and Venture Capitalists Artificial Intelligence Assessment Centers B2B B2E Management Balanced Scorecard Bar Coding and Radio Frequency Identification Business Process Reengineering Cafeteria Plan—Flexible Benefits Cellular Manufacturing Chaos Theory Coalition Building Communities of Interest/Communities of Practice Complexity Theory Concurrent Engineering and Design Consulting Contingency Approach to Management Continuing Education and Lifelong Learning Trends Corporate Governance Corporate Social Responsibility Customer Relationship Management Decision Support Systems Diversity Electronic Commerce Electronic Data Interchange and Electronic Funds Transfer Empowerment Enterprise Resource Planning Entrepreneurship Environmentalism and Sustainability Ethics Expatriates Expert Systems Five S Framework Flexible Spending Accounts Futuring Handheld Computers Health Savings Accounts Human Resource Information Systems Innovation Instant Messaging Intellectual Property Rights Intrapreneurship Knowledge-Based View of the Firm Leadership in Energy and Environmental Design Metadata or Meta-Analysis Mobile Commerce Multiple-Criteria Decision Making Non-Compete Agreements Outsourcing and Offshoring Paradigm Shift Popular Press Management Books Quality of Work Life Results-Only Work Environment Robotics Social Networking Spirituality in Leadership Succession Planning Telecommunications Vendor Rating Virtual Corporations Women and Minorities in Management

ENTREPRENEURSHIP

Angel Investors and Venture Capitalists Balance Sheets Brainstorming Break-Even Point Budgeting Business Plan Business Structure Cafeteria Plan—Flexible Benefits Case Method of Analysis Cash Flow Analysis and Statements Competitive Advantage Consumer Behavior Cost Accounting Customer Relationship Management Diversification Strategy Domestic Management Societies and Associations Due Diligence Economics Economies of Scale and Economies of Scope Effectiveness and Efficiency Financial Issues for Managers Financial Ratios First-Mover Advantage Futuring Gap Analysis Generic Competitive Strategies Income Statements Initial Public Offering Innovation Intellectual Property Rights International Business International Management Societies and Associations Intrapreneurship Inventory Management Joint Ventures and Strategic Alliances Knowledge Management Knowledge Workers Leveraged Buyouts Licensing and Licensing Agreements Location Strategy Macroenvironmental Forces Make-or-Buy Decisions Market Share Marketing Concept and Philosophy Marketing Research Miles and Snow Typology Mission and Vision Statements New Product Development Non-Compete Agreements Organizational Development Outsourcing and Offshoring Patents and Trademarks Planning Poison Pill Strategies Popular Press Management Books Porter’s Five Forces Model Pricing Policy and Strategy Problem Solving Process Management Product Design Product Life Cycle and Industry Life Cycle Profit Sharing Research Methods and Processes Scenario Planning Securities and Exchange Commission Shareholders Stakeholders Strategic Planning Tools Strategy Levels Succession Planning SWOT Analysis Synergy Technology Transfer Value Creation Venture Capital Virtual Organizations

FINANCIAL MANAGEMENT AND ACCOUNTING

Activity-Based Costing Angel Investors and Venture Capitalists Balance Sheets Balanced Scorecard Break-Even Point Budgeting Capacity Planning Cash Flow Analysis and Statements Corporate Social Responsibility Cost Accounting Cost-Volume-Profit Analysis Debt vs. Equity Financing Domestic Management Societies and Associations Due Diligence Economics Electronic Data Interchange and Electronic Funds Transfer Employee Benefits Employee Compensation Executive Compensation Exit Strategy Financial Issues for Managers Financial Ratios Flexible Spending Accounts Health Savings Accounts Income Statements Initial Public Offering Insider Trading Internal Auditing International Management Societies and Associations International Monetary Fund Inventory Types Leveraged Buyouts Licensing and Licensing Agreements Long Tail Make-or-Buy Decisions Management Control Nonprofit Organizations Opportunity Cost Patents and Trademarks Profit Sharing Purchasing and Procurement Risk Management Securities and Exchange Commission Stakeholders Succession Planning Venture Capital Zero-Based Budgeting

GENERAL MANAGEMENT TOPICS

Aggregate Planning The Art and Science of Management Autonomy B2B B2E Management Balanced Scorecard Barriers to Entry Best Practices Black Friday Brainstorming Budgeting Business Plan Business Structure Communication Competitive Advantage Competitive Intelligence Contingency Approach to Management Continuous Improvement Corporate Governance Corporate Social Responsibility Delegation Disaster Recovery Diversity Divestment Downsizing and Rightsizing Economics Effectiveness and Efficiency Electronic Commerce Empowerment Financial Issues for Managers Financial Ratios Forecasting Generic Competitive Strategies Globalization Goals and Goal Setting Human Resource Management Innovation International Management Knowledge-Based View of the Firm Knowledge Management Leadership Styles and Bases of Power Leadership Theories and Studies Line-and-Staff Organizations Logistics and Transportation Management Control Management Functions Management Information Systems Management Science Management Styles Management Thought Managing Change Mission and Vision Statements Motivation and Motivation Theory Operations Management Organization Theory Organizational Analysis and Planning Organizational Behavior Organizational Chart Organizational Culture Organizational Learning Organizational Structure Organizational Development Organizing Paradigm Shift Participative Management Patents and Trademarks Paternalism Pioneers of Management Planning Process Management Quality and Total Quality Management Request for Proposal/Quotation Social Networking Strategic Integration Strategy Formulation Strategy Implementation Strategy in the Global Environment Strategy Levels Subject Matter Expert Succession Planning Training Delivery Methods Trends in Organizational Change

HUMAN RESOURCE MANAGEMENT

Affirmative Action Artificial Intelligence Assessment Centers Autonomy Nonverbal Communication Brainstorming Cafeteria Plan—Flexible Benefits Coalition Building Communication Continuing Education and Lifelong Learning Trends Discrimination Diversity Downsizing and Rightsizing Electronic Data Interchange and Electronic Funds Transfer Employee Assistance Programs Employee Benefits Employee Compensation Employee Evaluation and Performance Appraisals Employee Handbook and Orientation Employee Recruitment Employee Screening and Selection Employment Law and Compliance Empowerment Executive Compensation Flexible Spending Accounts Group Dynamics Health Savings Accounts Human Resource Information Systems Human Resource Management Japanese Management Job Analysis Knowledge-Based View of the Firm Knowledge Workers Mentoring Morale Motivation and Motivation Theory Nepotism Non-Compete Agreements Organizational Behavior Organizational Chart Organizational Culture Performance Measurement Personality and Personality Tests Privacy, Privacy Laws, and Workplace Privacy Quality of Work Life Reinforcement Theory Results-Only Work Environment Safety in the Workplace Scalable or JIT Workforce Sensitivity Training Social Networking Stress Succession Planning Sweatshops Task Analysis Teams and Teamwork Theory X and Theory Y Theory Z Time Management Training Delivery Methods Virtual Organizations Women and Minorities in Management

INNOVATION AND TECHNOLOGY

Artificial Intelligence Bandwidth Bar Coding and Radio Frequency Identification Communication Competitive Intelligence Complexity Theory Computer Networks Computer Security Computer-Aided Design and Manufacturing Computer-Integrated Manufacturing Content Management System Data Processing and Data Management Decision Rules and Decision Analysis Decision Support Systems Delegation Electronic Commerce Electronic Data Interchange and Electronic Funds Transfer Environmentalism and Sustainability Experience and Learning Curves Expert Systems Forecasting Fuzzy Logic Handheld Computers Information Assurance Innovation The Internet Knowledge Centers Knowledge Management Knowledge Workers Leadership in Energy and Environmental Design Management Information Systems Manufacturing Control via the Internet Metadata or Meta-Analysis Mobile Commerce Nanotechnology Product Design Project Management Robotics Service-Oriented Architecture Technology Management Technology Transfer Telecommunications Virtual Corporations Virtual Organizations Web 2.0 WiMax

INTERNATIONAL AND GLOBAL MANAGEMENT

B2B Competitive Advantage Diversity European Union Expatriates Exporting and Importing First-Mover Advantage Franchising Free TradeAgreements and Trading Blocs Futuring Globalization International Business International Management International Management Societies and Associations International Monetary Fund International Organization for Standards Japanese Management Licensing and Licensing Agreements Location Strategy Macroenvironmental Forces Outsourcing and Offshoring Patents and Trademarks Popular Press Management Books Profit Sharing Strategy in the Global Environment Sweatshops Transnational Organization Value-Added Tax Vendor Rating Virtual Organizations World-Class Manufacturer

LEADERSHIP RESEARCH TOPICS

The Art and Science of Management Assessment Centers Best Practices Communication Contingency Approach to Management Corporate Governance Corporate Social Responsibility Delegation Domestic Management Societies and Associations Entrepreneurship Executive Compensation Expert Systems Goals and Goal Setting Human Resource Management International Management Societies and Associations Japanese Management Job Analysis Joint Ventures and Strategic Alliances Knowledge Management Knowledge Workers Leadership Styles and Bases of Power Leadership Theories and Studies Line-and-Staff Organizations Management and Executive Development Management Functions Management Levels Management Styles Management Thought Managing Change Mechanistic Organizations Mentoring Mission and Vision Statements Morale Motivation and Motivation Theory Open and Closed Systems Operant Conditioning Organizational Culture Paradigm Shift Participative Management Personality and Personality Tests Pioneers of Management Problem Solving Reinforcement Theory Sensitivity Training Span of Control Spirituality in Leadership Strategy Formulation Succession Planning Teams and Teamwork Theory X and Theory Y Theory Z Women and Minorities in Management

LEGAL ISSUES

Affirmative Action Cafeteria Plan—Flexible Benefits Computer Networks Computer Security Corporate Governance Corporate Social Responsibility Discrimination Diversity Downsizing and Rightsizing Due Diligence Electronic Data Interchange and Electronic Funds Transfer Employee Assistance Programs Employee Benefits Employee Compensation Employee Evaluation and Performance Appraisals Employee Recruitment Employee Screening and Selection Employment Law and Compliance Ethics Executive Compensation Human Resource Management Insider Trading Intellectual Property Rights Job Analysis Leveraged Buyouts Management Audit Management Control Mergers and Acquisitions Nepotism Non-Compete Agreements Patents and Trademarks Personality and Personality Tests Privacy, Privacy Laws, and Workplace Privacy Quality of Work Life Risk Management Safety in the Workplace Stress Succession Planning Sunshine Laws Sweatshops Technology Transfer Whistle Blower Women and Minorities in Management

MANAGEMENT INFORMATION SYSTEMS

Balanced Scorecard Bandwidth Bar Coding and Radio Frequency Identification Barriers to Entry Complexity Theory Computer Networks Computer Security Computer-Aided Design and Manufacturing Computer-Integrated Manufacturing Content Management System Data Processing and Data Management Decision Rules and Decision Analysis Decision Support Systems Distribution and Distribution Requirements Planning Electronic Commerce Electronic Data Interchange and Electronic Funds Transfer Service-Oriented Architecture Statistical Process Control and Six Sigma Systems Design, Development, and Implementation Technology Management Technology Transfer

MANAGEMENT SCIENCE AND OPERATIONS RESEARCH

Bar Coding and Radio Frequency Identification Business Process Reengineering Computer-Aided Design and Manufacturing Concurrent Engineering and Design Decision Rules and Decision Analysis Decision Support Systems Distribution and Distribution Requirements Planning Expert Systems Location Strategy Logistics and Transportation Maintenance Make-or-Buy Decisions Manufacturing Resources Planning Models and Modeling Multiple-Criteria Decision Making New Product Development Operating System Operations Management Operations Scheduling Operations Strategy Product Design Production Planning and Scheduling Productivity Concepts and Measures Product-Process Matrix Project Management Purchasing and Procurement Quality and Total Quality Management Research Methods and Processes Reverse Supply Chain Logistics Scenario Planning Service Operations Service Process Matrix Simulation Statistical Process Control and Six Sigma Statistics Subject Matter Expert Systems Analysis Systems Design, Development, and Implementation Technology Transfer Warehousing and Warehouse Management World-Class Manufacturer

PERFORMANCE MEASURES AND ASSESSMENT

Activity-Based Costing Balance Sheets Balanced Scorecard Benchmarking Best Practices Break-Even Point Budgeting Cash Flow Analysis and Statements Continuous Improvement Cost Accounting Cost-Volume-Profit Analysis Cycle Time Debt vs. Equity Financing Due Diligence Effectiveness and Efficiency Executive Compensation Financial Issues for Managers Financial Ratios Forecasting Gap Analysis Goals and Goal Setting Management Audit Management Control Management Information Systems Market Share Multiple-Criteria Decision Making Nepotism Order-Winning and Order-Qualifying Criteria Performance Measurement Pricing Policy and Strategy Profit Sharing Simulation Stakeholders Value Analysis Value Chain Management Value Creation Vendor Rating Zero-Based Budgeting Zero Sum Game

PERSONAL GROWTH AND DEVELOPMENT FOR MANAGERS

The Art and Science of Management Brainstorming Coalition Building Communication Consulting Contingency Approach to Management Continuing Education and Lifelong Learning Trends Continuous Improvement Customer Relationship Management Delegation Diversity Employee Assistance Programs Empowerment Entrepreneurship Facilitator Feedback Goals and Goal Setting Group Dynamics Intrapreneurship Knowledge Workers Leadership Styles and Bases of Power Managing Change Mentoring Morale Motivation and Motivation Theory Multimedia Organizing Participative Management Personality and Personality Tests Planning Popular Press Management Books Problem Solving Profit Sharing Safety in the Workplace Sensitivity Training Spirituality in Leadership Strategic Planning Tools Stress Succession Planning SWOT Analysis Teams and Teamwork Time Management Trends in Organizational Change Value Creation

PRODUCTION AND OPERATIONS MANAGEMENT

Activity-Based Costing Aggregate Planning Bar Coding and Radio Frequency Identification Benchmarking Break-Even Point Business Process Reengineering Cellular Manufacturing Computer-Aided Design and Manufacturing Computer-Integrated Manufacturing Concurrent Engineering and Design Continuous Improvement Cost-Volume-Profit Analysis Decision Rules and Decision Analysis Decision Support Systems Distribution and Distribution Requirements Planning Domestic Management Societies and Associations Five S Framework Flexible Manufacturing Forecasting Industrial Relations International Management Societies and Associations Inventory Management Inventory Types Japanese Management Layout Lean Manufacturing and Just-in-Time Production Location Strategy Logistics and Transportation Long Tail Maintenance Make-or-Buy Decisions Management Awards Manufacturing Control via the Internet Manufacturing Resources Planning Market Share New Product Development Operations Management Operations Scheduling Operations Strategy Order-Winning and Order-Qualifying Criteria Outsourcing and Offshoring Participative Management Poka-Yoke Popular Press Management Books Porter’s Five Forces Model Production Planning and Scheduling Productivity Concepts and Measures Product-Process Matrix Project Management Purchasing and Procurement Quality Gurus Quality and Total Quality Management Reverse Supply Chain Logistics Robotics Safety in the Workplace Scalable or JIT Workforce Service Factory Service Industry Service Operations Service Process Matrix Simulation Statistical Process Control and Six Sigma Statistics Strategic Integration Supply Chain Management Synergy Teams and Teamwork Technology Management Technology Transfer Theory of Constraints Time-Based Competition Upselling Warehousing and Warehouse Management World-Class Manufacturer

QUALITY MANAGEMENT AND TOTAL QUALITY MANAGEMENT

Communication Customer Relationship Management Domestic Management Societies and Associations Five S Framework Gap Analysis Goals and Goal Setting Innovation International Management Societies and Associations Japanese Management Management Awards Manufacturing Resources Planning Marketing Research Operations Strategy Opportunity Cost Order-Winning and Order-Qualifying Criteria Outsourcing and Offshoring Participative Management Popular Press Management Books Productivity Concepts and Measures Quality Gurus Quality and Total Quality Management Quality of Work Life Statistical Process Control and Six Sigma Strategic Planning Tools Teams and Teamwork Value Analysis Value Creation Vendor Rating World-Class Manufacturer

SUPPLY CHAIN MANAGEMENT

Activity-Based Costing Business Process Reengineering Capacity Planning Cellular Manufacturing Coalition Building Communication Competitive Advantage Competitive Intelligence Computer Networks Computer-Integrated Manufacturing Conflict Management and Negotiation Customer Relationship Management Cycle Time Decision Support Systems Distribution and Distribution Requirements Planning Economies of Scale and Economies of Scope Effectiveness and Efficiency Electronic Commerce Electronic Data Interchange and Electronic Funds Transfer Enterprise Resource Planning Expert Systems Fulfillment Group Dynamics Industrial Relations Inventory Management Inventory Types Joint Ventures and Strategic Alliances Lean Manufacturing and Just-in-Time Production Location Strategy Logistics and Transportation Long Tail Make-or-Buy Decisions Manufacturing Resources Planning Market Share Multiple-Criteria Decision Making New Product Development Operations Management Operations Scheduling Operations Strategy Organic Organizations Organizing Poka-Yoke Problem Solving Process Management Product Design Product Life Cycle and Industry Life Cycle Production Planning and Scheduling Productivity Concepts and Measures Product-Process Matrix Purchasing and Procurement Quality and Total Quality Management Reverse Auction Reverse Supply Chain Logistics Risk Management Span of Control Stakeholders Teams and Teamwork Vendor Rating Warehousing and Warehouse Management

TRAINING AND DEVELOPMENT

Artificial Intelligence Assessment Centers Autonomy Concurrent Engineering and Design Conflict Management and Negotiation Consulting Contingency Approach to Management Continuing Education and Lifelong Learning Trends Continuous Improvement Corporate Social Responsibility Delegation Domestic Management Societies and Associations Downsizing and Rightsizing Employee Evaluation and Performance Appraisals Employee Handbook and Orientation Goals and Goal Setting Group Decision Making Human Resource Management Innovation Instant Messaging International Management Societies and Associations Job Analysis Knowledge Management Knowledge Workers Management and Executive Development Management Audit Marketing Communication Mission and Vision Statements Morale Motivation and Motivation Theory Multimedia Multiple-Criteria Decision Making Organizational Culture Organizational Learning Organizing Participative Management Personality and Personality Tests Popular Press Management Books Problem Solving Project Management Safety in the Workplace Sensitivity Training Simulation Stress Succession Planning SWOT Analysis Teams and Teamwork Training Delivery Methods Virtual Organizations Women and Minorities in Management

Management has applications in a wide variety of settings and is not limited to business domains. Management tools, as well as the art and science of management, find applications wherever any effort must be planned, organized, or controlled on a significant scale. This includes applications in government, the cultural arts, sports, the military, medicine, education, scientific research, religion, not-for-profit agencies, and in the wide variety of for-profit pursuits of service and manufacturing. Management takes appropriate advantage of technical developments in all the fields it serves.

The growth of the discipline of management has also led to specialization or compartmentalization of the field. These specialties of management make learning and study easier, but at the same time make broad understanding of management more difficult. It is particularly challenging to the entrepreneur and the small business owner to master the subject areas, yet this group is compelled to excel at all management functions to further their business’s success. Management specialties have grown to such an extent it is difficult for any single manager to fully know what management is all about. So rapid have been the strides in recent years in such subjects as decision making, technology, the behavioral sciences, management information systems, and the like, to say nothing of proliferating legislative and governmental regulations affecting business, that constant study and education is required of all managers just to keep current on the latest trends and techniques. Thus, managers and executives need a comprehensive management online reference source to keep up-to-date. Having the management essays and research papers in one comprehensive site saves valuable research time in locating the information.

In the growing age of specialists, there is a growing lack of generalists. Typically, a business manager spends a large percentage of their career developing a great familiarity and proficiency in a specialized field, such as sales, production, shipping, or accounting. The manager develops a very specialized knowledge in this area but may develop only a peripheral knowledge of advances in other areas of management. Yet as these individuals are promoted from a specialist-type position up the organizational chart to a more administrative or generalist supervisory or leadership position, the person with newly enlarged responsibilities suddenly finds that their horizon must extend beyond the given specialty. It must now include more than just a once-superficial understanding of all aspects of managing, including purchasing, manufacturing, advertising and selling, international management, quantitative techniques, human resources management, public relations, research and development, strategic planning, and management information systems. The need for broader management understanding and comprehension continues to increase as individuals are promoted.

This site has as its goal to bridge this gap in understanding and to offer every executive, executive-aspirant, management consultant, and educator and student of management, both comprehensive and authoritative information on all the theories, concepts, and techniques that directly impact the job of management. This reference source strives to make specialists aware of the other functional areas of the management discipline and to give the top manager or administrator who occupies the general manager position new insights into the work of the specialists whom he or she must manage or draw upon in the successful management of others. In addition, this site proposes to make all practitioners aware of the advances in management science and in the behavioral sciences. These disciplines touch upon all areas of specialization because they concern the pervasive problems of decision-making and interpersonal relations.

Every effort has been made to achieve comprehensiveness in choice and coverage of subject matter. The essays provided frequently go far beyond mere definitions and referrals to other sources. They are in-depth treatments, discussing background, subject areas, current applications, and schools of thought. In addition, information may be provided about the kinds of specialists who use the term in a given organization, the degree of current acceptance, and the possibilities for the future as the subject undergoes further development and refinement. Longer essays frequently provide charts, graphs, or examples to aid in understanding the topic.

Browse More Management Research Paper Topics:

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Health Information Administration Research Guide

• How to Use this Guide
• Research health information management topics
• Research medical/disease topics
• Introduction to Research in HIA / HIM
• Evaluate health/medical information
• Get Full Text
• Search Techniques
• HIM 150 activities
• HIM150 videos

Introduction

This page will lead you to sources for finding credible information on health information management., continue below for these four (4) sections:.

• Find in-depth information in monographs (books) and find non-print material such as videos, audios, software, and multimedia .
• Find current information in magazine and journal articles and reports.
• Find federal and state rules and regulations, statutory law, and case law .

Find definitions, facts, statistics

Find in-depth information in monographs (books) and find non-print material such as videos, audios, software, and multimedia, find books and e-books with the following research databases. .

The first research database will also lead to video and audio materials.

• Bookshelf Growing collection of biomedical books that can be searched directly by typing a concept into the search box. Much of the content is accessible online. Bookshelf is provided by the U.S. National Center for Biotechnology Information (NCBI). Searches of PubMed include the material in Bookshelf.

Find current information in magazine and journal articles and reports

Search for articles & reports using the following databases or websites..

SPECIAL NOTE: Not every health database will index the key journals for health information management. Your key professional journal Journal of AHIMA and other core professional journals (for example, Joint Commission Perspectives and Hospitals and Health Networks ) may be found by searching PubMed .

• Medline Plus This link opens in a new window MedlinePlus is an online health information resource for patients and their families and friends. It is a service of the National Library of Medicine (NLM), the world's largest medical library, which is part of the National Institutes of Health (NIH). PubMed citations and abstracts include the fields of biomedicine and health, covering portions of the life sciences, behavioral sciences, chemical sciences, and bioengineering. PubMed citations often include links to the full-text article on the publishers' Web sites and/or in PubMed Central and the Bookshelf. [MEDLINE is the largest subset of PubMed. You may limit your PubMed search retrieval to MEDLINE citations by restricting your search to the MeSH controlled vocabulary or by using the Journal Categories filter called MEDLINE.]
• AHIMA publications online Web site provides access to articles and reports in "Journal of AHIMA" (including practice briefs, coding notes, plugged in, etc.) and other AHIMA publications. NOTE: Explore the "HIM Trends and Topics" tab at top
• CMS (Centers for Medicare & Medicaid Services) Web site provides statistics, reports and regulatory news (including links to rules & proposed rules in Federal Register) on Medicare, Medicaid & Child Health Insurance Programs. CMS is the federal agency that administers the Medicare, Medicaid and Child Health Insurance Programs.For regulations for different types of facilities such as Ambulatory Surgical, Home Health Agencies, etc., link to "Regulations and Guidance" and scan down to find the section "Provider Type."
• Joint Commission on Accreditation of Healthcare Organizations The Joint Commission evaluates and accredits more than 18,000 health care organizations in the United States, including hospitals, health care networks, managed care organizations, and health care organizations that provide home care, long term care, behavioral health care, laboratory, and ambulatory care services. It publishes standards, etc.

Find federal and state rules and regulations, statutory law, and case law.

Find legal information  .

To successfully find legal information, you will need to select research databases and sources appropriate for finding the legal information you need.  This means choosing a resource that provides the correct:

1. category of law ( regulatory , judicial , or statutory )

• Regulatory law = rules and regulations developed by governmental agencies and departments in order for them to carry out the laws passed by legislatures.
• Judicial law = case law, that is laws arising from decisions made in courts.
• Statutory law = laws enacted by legislatures.

2. level of government ( federal or state )

Links to these legal research tools are further below :

For Federal REGULATIONS , use the following:

• Code of Federal Regulations
• Federal Register . 
• LexisNexis Academic includes the content of both the Code of Federal Regulations and the Federal Register.  Use the "search by content type" dropdown menu to select "Federal Statutes & Regulations."
• The Centers for Medicare and Medicaid Services (CMS) website provides links to health care regulatory information published in the Federal Register and elsewhere.  On the CMS website, choose "Regulations & Guidance."

For State REGULATIONS , use the following:

• LexisNexis Academic includes the content of South Dakota Administrative Rules and South Dakota Register .  In LexisNexis use the "search by content type" dropdown menu to select "State Statutes & Regulations."
• Legislative Research Council of the South Dakota Legislature.  For rules and regulations, choose "Administrative Rules" and find rules using either the "Rules Search" or "Rules List."

For Federal CASE LAW , use:

• LexisNexis Academic . Use the "search by content type" dropdown menu to select "Federal & State Cases"

For State CASE LAW , use:

For Federal STATUTORY LAW , use: 

• LexisNexis Academic . Use the "search by content type" dropdown menu to select "Federal Statutes & Regulations." {Note: statutory laws may be found as "Public Laws" (that is, found by public law number which is a consecutive numbering system of laws during a given legislative session) or in the "U.S. Code" (that is, found in the codified laws in which laws related to a particular topic are grouped together}.

For State STATUTORY LAW , use:

• LexisNexis Academic . Use the "search by content type" dropdown menu to select "State Statutes & Regulations."
• Legislative Research Council of the South Dakota Legislature.  For statutory law, choose "Laws."
• Code of Federal Regulations (CFR) The CFR codifies (arranges numerically) the detailed rules and regulations used for carrying out the laws passed by the U. S. Congress. These regulations are devised by federal departments and agencies. So, the CFR is a comprehensive collection of all the rules and regulations in effect in the various agencies of the U.S. Government. Rules first appear in the daily publication called the Federal Register. After being finalized, they are incorporated into the CFR. Therefore, after searching the Code of Federal Regulations (CFR), search the Federal Register for any new or changed federal rules that have not yet been added to the CFR.
• Federal Register (FR) Use the Federal Register (FR) to find new federal regulations that have been proposed or that have been published in final form in the Federal Register but have not yet been added to the Code of Federal Regulations. Rules and regulations are devised by federal departments and agencies to carry out the laws passed by the U.S. Congress. FR provides the text of proposed, final, interim, and temporary rules and is published daily, Monday - Friday. Provided by the U.S. Government Printing Office.
• Legislative Research Council (South Dakota) The Legislative Research Council of the South Dakota Legislature provides administrative rules and statutory laws. For rules and regulations, choose "Administrative Rules" and find rules using either the "Rules Search" or "Rules List." For statutory law, choose "Laws."

Statistics and Other Information about Hospitals and Physicians

The following sources provide a range of factual information and statistics about hospitals and physicians

• Agency for Healthcare Research and Quality (AHRQ) Has a "Research Tools & Data" section that includes MEPS (Medical Expenditure Panel Survey), HCUP (Healthcare Cost & Utilization Project), HCUPnet ( Interactive Tool for Hospital Statistics), HIV & AIDS Costs & Use, and more. HCUPnet is a tool for identifying, tracking, analyzing, and comparing statistics on hospitals at the national, regional, and State level. AHRQ is part of the U.S. Department of Health and Human Services.
• AMA Doctor Finder This directory contains information on virtually every licensed physician in the United States (and its possessions), including more than 650,000 doctors of medicine (MD) and doctors of osteopathy or osteopathic medicine (DO). All physician credential data have been verified for accuracy and authenticated by accrediting agencies, medical schools, residency training programs, licensing and certifying boards, and other data sources.
• American Board of Medical Specialties This directory may be used to verify the certification status of any physician certified by one or more of the 24 member boards of the American Board of Medical Specialties (ABMS). Click on "Is Your Doctor Certified."
• HRET: Health Research & Educational Trust Provides information about hospitals, health care agencies, quality/cost/disparities, data analysis, payment reform, and much more.
• National Center for Health Statistics (NCHS) NCHS is the primary Federal organization responsible for the collection, analyses, and dissemination of health statistics. The intent of this site is to provide users access to the health information that NCHS produces.

PRINT SOURCES IN LIBRARY:

• AHA Hospital Statistics Call Number: RA981.A2 A6234 Publication Date: annual This is a compilation of data compiled from AHA Annual Survey of Hospitals and is a print book in the Mundt Library. Note: Distance students may request the Library to copy and email specific sections.
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78 MIS Topics for Presentations and Essays

🏆 best management information systems project ideas, 🎓 interesting topics related to information systems, ✅ simple & easy mis assignment topics.

• Samsung Company’s Management Information System The scope of Management Information System is defined as, “The combination of human and computer based resources that results in the collection, storage, retrieval, communication and use of data for the purpose of efficient management […]
• Management Information Systems Types: Functions and Importance A TPS is vital in managing the system resources as it maintains a pool of operating resources that are used in transaction processing, application program loading, and acquiring and releasing storage. We will write a custom essay specifically for you by our professional experts 808 writers online Learn More
• Management Information Systems: Making Strategic Decisions The company will create a model of the relationship between all the pieces of information in the group. In this regard, the organization employs MISs in order to complete and integrate a series of elements […]
• The Role of Management Information System (MIS) in Business The diagram below shows the relationship between the departments and underpins how the manual system which is used to conduct the primary and secondary activities within the departments is related to the performance of each […]
• Management Information Systems Analysis and Design The progress of this project will be based on a simple definition of a management information system which would be: a computer based system that provides flexible and speedy access to accurate data.
• Management Information Systems and E-Government In the developing countries, it has been of much surprise to notice that, the failures of e-government project, is a problem that is real and much practical.
• ABC Company Management Information System Increasing the presence of the firm’s products to specific segments of clients provides the customers with seamless shopping experience in the business’s physical and online stores.
• Management Information Systems Benefits in Business This has helped this firm to achieve competitive advantage in the market because it is always aware of the needs of its customers. To manage this threat, ABC has discounted and differentiated its products in […]
• Management Information System: Cisco Systems Prior to the implementation of the ERP system, the company’s systems were on the brink of failure. The management of the company understood the need for the company to shift to a new ERP system.
• Management Information Systems in Organizational Performance The information system has enabled the organisation to solve problems like inappropriate use of time, increased expenditure, and customer dissatisfaction. Management information system is an important tool that can be used to shift the cost […]
• Management Information System Implementation in the Bank This conforms to the first principle of change in which a person is adjusted via a change in the system that they work in.
• Management Information Systems: Socio-Technical Aspect Software: This component stands for programs that are used to operate the MIS, manage data, search and cipher through logs, and other related activities.
• Health Management Information Systems: Impact on the Technology Implementation Since the beginning of the information systems implementation, the vast majority of spheres have adopted some cutting-edge technologies to increase the effectiveness of their working process.
• Management Information Systems (MIS) The advances in the evolution of devices and the achievement of a new stage of development critically impacts MIS and creates the basis for the emergence of multiple changes towards the achievement of better outcomes […]
• Chalhoub Group: Management Information Systems This presentation will focus on one organization in UAE, highlighting how its improved IS/IT systems have helped it register massive profits.
• Healthcare Management Information Systems: Working Principles For instance, the ministry of health uses the network to disseminate health information to people in all regions and also globally.
• Healthcare Management Information Systems: An Evaluation In this perspective, the Chief Information Officer survey therefore becomes important for the Health Management Information System industry because it assist health institutions to project current and future informational and technological needs, not mentioning the […]
• Accounting and Management Information Systems This article is a discussion of the results obtained by Mangiuc in an empirical study that involved both local and foreign companies in Romania.
• Management Information Systems: Primis Online System at McGraw Hill This paper focuses on the analysis, design and system development elements applied by the Primis team in deployment of the online system at McGraw Hill.
• Imperial Tobacco. Management Information System – Competitive Forces This means that the management at Imperial Tobacco needs to develop products that can compete with the new products for them to maintain their position in the market.
• Management Information Systems: Ethics and Career Path The second one is the group of skills necessary to vivificate information, and the last one is meant to reason in a proper.
• Management Information System and Outsourcing According to these critics, there is a need for some of the currently outsourced services to be performed in the home country.
• “Management Information Systems” by James O’Brien and George M. Marakas This is a network or sub-network with a high speed that interconnects different types of data storage devices that have associated data servers on behalf of a larger network of users. Through this, data can […]
• Management Information Systems and Its Impacts As thus, it is the obligation of the employees so see to it that they acquire the necessary knowledge and skills; otherwise, they will be washed out of the company system.
• Management Information Systems: Efficiency and Collaboration In addition, it is important to stress out that Microsoft Access allows a more flexible retrieval of data even when the volume of data gets high.
• Fly Dubai Company’s Management Information Systems Data from the company’s website and its associated pilot training website outline the main sources of primary information. Identity refers to the ease that websites explain the nature, history, and values of a company.
• Relevant Decision Making: Management Information Systems in Organizations In this respect, managers are likely to make wrong decisions, especially, if they are unaware of the inaccuracy of the information provided by the system.
• Management Information System and Strategic Performance According to his assumption, the higher the demographic diversity in top management team, the greater the contribution of accounting system to strategic performance.
• Management Information Systems in Corporate Institutions With the invention of personal computers and other information technology tools, the companies had to develop a proper information technology system that would handle the work of the organization and reduce the errors that were […]
• Management Information Systems: Effective Decision-Making and Security Through taking into account the different organizational levels within an organization management information systems are classified into four main types, namely, operational level systems, knowledge level systems, management level systems and strategic level systems. Management […]
• Types of Management Information Systems in Business Generally, a TPS is used to process the data that is required to update the records about the operations of a business.
• Management Information Systems: LinkedIn Corporation It highlights how information technology has been used in management, the general operations of the organization as well as how the use of information systems has helped the organization to attain a competitive edge.
• Management Information Systems and Business Decision-Making The article explains to its audience the importance of promoting and adapting the use of information systems to ensure that managers get the latest information in time.
• Management Information System in Business The main importance of information system to any modern organization is to store its data and that of its associates and customers in a secure manner.
• Management Information Systems: Mitsubishi Motors A management information system is considered as one of the most effective and successful systems that are able to provide the necessary information in order to promote the development and management of any organization in […]
• Management Information Systems Major: Courses and Careers Knowledge on Management information systems is vital to institutions on a management height, where it is employed to preserve and build up new techniques for organizing vast amounts of information and helping managers in the […]
• Management Information System: Operational Efficiency and Decision-Making The customers as well are in a position to be aware of the status of their deliveries by logging in to the company’s website which is updated by the servers throughout.
• Management Information Systems and Enterprise Resource Planning In addition to heavy investment in the staff who left, their departure led to delay in the areas they were in charge of as well as repeating some of the steps already done during the […]
• Bespoke Management Information Systems Using Microsoft Access
• Management Information System in Starbucks: IBM TPS System
• Logistics Management Information Systems: Functions, Components, Examples
• The Management Information Systems of Toyota: New Methods and Accomplish Business Goals
• Management Information Systems for Shipping and Delivery Company
• Management Information Systems of the Small and Medium Enterprises
• Management Information Systems in Marketing: Kotler’s Model
• Barriers to Successful Development of Strategic Management Information System
• Management Accounting Information System: Auditing and Financial Reporting Modules
• Warehouse Management Information System: Optimizing the Use of Available Space or Coordinating Tasks
• Management Information Systems in Hospitals: Accounting for the Control of Doctors
• Management Information Systems Through User Interface
• Project Management Information System: Using More Efficiently, Without Getting Overwhelmed With Data
• Information Management Systems in the Supply Chain
• How Management Information Systems Affect Working Ethics
• Human Resource Management System: The Best Tools in 2022
• Management Information System for Real Estate and Property Management
• Management Information System: Advantages and Disadvantages
• The Technology of Information Management System
• Management Information Systems for Computer-Aided Design
• Management Information Systems: Enterprise Applications
• The History of Management Information Systems: Five Eras
• Management Information System: Development Process With System Development Life Cycle
• Credit Management Information Systems: A Forward-Looking Approach
• Common Problems in Management Information Systems
• Management Information Systems at Rosenbluth Travel: Competitive Advantage in a Rapidly Growing Global Service Company
• Why Can Management Information Systems Effectiveness Decreases
• Management Information Systems: The Difference Between Advanced MIS and MI Dashboard
• Developing Decision Support Capabilities Through the Use of Management Information Systems
• Using National Education Management Information Systems to Make Local Service Improvements: The Case of Pakistan
• How Might a Management Information System Be Used in a School
• The External Organizational Environment and Its Impact on Management Information Systems
• Management Information Systems: Managing the Digital Firm by Kenneth Laudon, Jane Laudon
• The Disadvantage of Management Information System: Fraudulent Activities
• Management Information Systems: Impact on Dairy Farm Profitability
• Which Country Is Best in Management Information System
• Management Information Systems Program for Poughkeepsie Children’s Home
• Relationship Between Management Information Systems and Corporate Performance
• Management Information Systems: Air Canada Takes off With Maintenix
• Farm Management Information Systems Planning and Development in the Netherlands
• Chicago (A-D)
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IvyPanda. (2023, November 30). 78 MIS Topics for Presentations and Essays. https://ivypanda.com/essays/topic/management-information-systems-essay-topics/

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Good Research Topics About Information Management

• Assessing the Information Management Concept
• Private Info Management Systems: A Cell Phone with a Touch Screen
• The Prospect of Business Information Administration
• Industry for Security Information Administration
• The Application of Innovation in Advanced Data Administration
• The World of Data Management Specialists
• Protocols Trying to Control Information Management
• Information Management and Efficiency of Small Business Ventures
• Optimal Knowledge Management: Organizations vs. Marketplaces
• The Consequences of Social Networks on Information Management
• Information Theory vs. Information Management: an Advanced Point of View
• Cloud Computing: the Prospect of Business Information Management
• Future Innovations Within Systems Integration
• How Technology Can Help or Hurt Information Management
• Internet Tourism Information Management System
• Organizational Development Through Information Management
• Digital Marketing Information Management
• The Commercial Information Management System
• Knowledge Management: the Medical Record as a Legitimate Document

Simple & Easy Information Management Essay Titles

• The Risk Evaluation Process in Data Management
• Product Information Management (PIM) Software at Its Finest
• Information and Knowledge Administration Fundamentals
• Data Governance Structure & Data Management
• Top Sellers in Information Management
• Management Systems: Best Practices at British Petroleum
• Behavioural and Organizational Hypotheses of Data Management
• Connecting Technology and Business Strategy with Data Management
• Data Management Processes: Things Will Go Wrong
• Master of Data Management: A Developing and Distinctive Professional Need
• How to Generate an Information Management System
• Data Management from the Topmost Senior Stages to the Front Line Worker
• Data Management Similar to Information Management
• Education Information Management System Saves a Lot of Time for Teachers
• Data Management Procedures at Microsoft: Spending Lots of Time on Administration and Email
• Laboratory Information Management System: From Simple Specimen Monitoring to an Enterprise Resource Planning Tool

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Elections essay topic ideas & examples.

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125 Project Management Research Topics Ideas

Are you urgently in need of top-class project management research topics for your upcoming exam? Keep reading for exclusive writing ideas.

Those who have handled a project management thesis before can witness that this is not a smooth affair. The creativity, level of research, and critical thinking necessary for developing such a paper require a mature student. The greatest hurdle comes in when you want to develop your research topic. Our professional writers have everything you need to write an award-winning paper. Scroll down to find out how?

What Is A Project Management Research Paper?

It is an assignment that requires students to integrate the different processes to achieve a particular goal and deliverables. Project management is based on the principle that all tasks are special, and thus, you should not treat two tasks as the same.

In this type of assignment, students have to develop many coordination skills and fairness in dealing with various projects. Since various tasks differ in line with their functional procedures, you have to dig deeper to determine how each yields direct and proportional earnings in the end.

Does all these sound like rocket science to you? Well, the next few lines will make you understand this subject better.

Key Points About A Project Management Thesis

There are different steps involved in writing a project management paper. These will contribute to the body paragraphs’ overall quality, length, and depth. The various practices involved in project management include:

Initiating Planning Executing Controlling Closing the work of a team

When you bring all these processes together, you can achieve a particular goal or specific success within the set time. That brings us to a critical component of project management – time!

Every project has a given time frame within which it is complete. It is the primary challenge as time constraints are always when unexpected issues arise. However, with practice, time will not be a factor anymore; it will be the motivation for completing a particular project.

If you don’t feel those skills are important to you, you can get custom dissertation help from our expert team.

How To Write A Top-Rated Project Management Paper

For you to write a paper that will get the attention of your university teacher, there are various steps that you have to take. Remember that you have to demonstrate to your professor that you understand your topic and can significantly contribute to the topic at the end of the day.

Here is a step-by-step guide that will take you through the full process of project management writing:

• Understand your assignment: You should carefully read the question and point out any confusing part that you may need clarity with your professor. You also set the goal, timeline, length, format, and other requirements.
• Develop an interesting project management topic: The best way to generate a writing idea is by brainstorming. You can ask a friend tutor or get inspiration from other research papers.
• Begin your preliminary research: You can point out arguments that seem important to your topic and find captivating angles to present them. It is advisable to consult sources such as books, journals, or reliable websites. Having research questions in this section will give you ample time.
• Think of an exciting thesis statement: This will be your central argument that will establish your research paper’s position and purpose. Remember to include the evidence and reasoning you intend to support your answer.
• Develop an outline for your paper: It includes the key topics, arguments, and examples that will feature in your paper. Having a structured outline helps you complete the writing process effortlessly.

Once you complete these steps, your writing will be like a walk in the park. You will express your ideas clearly and have a logical paper.

Now let’s explore some of the most sought after project management topics:

Easy Project Management Research Topics

• How to implement capital improvement projects
• Discuss the essence of a good project management plan before the onset
• The role of technology and funding in implementing projects
• Consider the effects of working from home on project management
• How global companies manage projects across various regions
• What is the impact of the world becoming a global village in project management?
• Why is it necessary to segment tasks in a multi-sectorial project?
• Discuss the process of harmonizing systems, people, and resources
• Why is project management as a course in school necessary for the job market?
• Discuss the challenges related to transit projects
• Evaluate the various trends in project management in the digital age
• The role of leadership systems in project management
• Why time management is necessary for the completion of any task
• How to develop achievable goals or aspirations in a project
• The role of risk management before embarking on a project

High-Quality Project Management Topics

• The undisputed role of administrators in any project
• Technological systems that have made project management easier
• Discuss the complexity in completing different projects
• Why should every project have a project tracking instrument?
• Steps towards developing a working budget for a project
• Why do project managers write a proposal before embarking on the actual work?
• How often should the project manager meet to discuss the progress of a project?
• How to develop cost-effective projects in developed nations
• Discuss the various sources of primary funding for projects
• Why are communications skills necessary for any project?
• Compare and contrast the completion rate of government projects versus private projects.
• Discuss the authorization process of a project

Custom Project Management Research Paper Topics

• Discuss the roles of various officers involved in the running of a project
• What makes a particular project require a great number of resources?
• How to develop objectives and scope of work for different projects
• Analyze how the 24-hour economy is impacting the completing of massive projects
• Why it is important to determine the timing of an escalation in a project
• Should project managers remain engaged throughout the lifecycle of a project?
• Discuss some of the leadership qualities necessary for project management
• Why motivation is necessary for the completion of any project
• How to point out signs of retardation in a project
• The essence of addressing emerging issues in a project as soon as possible
• What are the differences at the micro and macro levels of a project?
• Steps involved in the termination process of a project

The Best Project Management Topics For Research

• Compare and contrast the procedural and mechanical parts of a project
• How to yield direct and proportional earnings from a project
• Management of a project during the economic recession
• Evaluate how COVID-19 restrictions impacted project management policies
• The role of integrating people and machines in the completion of projects
• Analyze the role of soft skills in project success rates
• How does cultural diversity impact project performance in the US?
• Why it is important to keep financial records in the implementation of a project
• Evaluate the design and implementation of projects
• A review of the stalled projects and why the project managers are to blame
• An in-depth analysis of procurement procedures in project management
• How organizational characters affect the development of a project

College Project Management Topics For Research Papers

• Investigate the organizational characteristics that affect project completion
• Identify cost-effective key performance indicators in a project?
• Social network analysis tools necessary for project management
• Discuss how emotional intelligence leads to the success of a project
• How to develop an effective project scheduling system for large projects
• Why standard operating procedures are necessary for effective projects
• The role of teamwork and collaboration in project completion
• Why quality control is necessary for any successful project
• Effective resource management techniques for technical projects
• Interpersonal skills that will make a project work
• Ethics involved in project management
• Discuss project mapping and progress reporting

Latest Research Topics For Project Management

• Are all project problems an indicator of more trouble to come?
• The role of identifying job descriptions in the success of projects
• Why it is necessary to incorporate staff retention and training in projects
• Evaluate the various project documentation processes
• How to develop better project control and management tools
• Discuss the differences between contractual and commercial management of projects
• Why delays and disruptions increase the cost of projects
• Impact of timely delivery of projects on economic development of countries
• Effects of sanctions of global projects
• Discuss conflict resolution practices in a particular project
• How to develop credit risk modeling techniques for projects
• Why appraisals and incentives are necessary for project success

Hot Research Project Topics In Business Management

• The role of business planning in a competitive environment
• How different business structures affect their development paradigms
• How to develop effective customer service strategies for businesses
• Why it is necessary to resolve employment issues before they escalate
• Inventory control practices in business management
• Discussing the necessity of keeping a keen eye on tax compliance in business establishments
• The role of record-keeping in the management of business ventures
• How to develop pricing structures that will keep the business afloat
• Discuss the peculiarities of merchandising and packaging
• Evaluate how insurance is necessary for any business
• Marketing strategies that will outshine competitors in a business setting
• How e-commerce is transforming project management in businesses

Innovative Topics For Project Management Research

• The role of decision making and problem-solving in project management
• Why technology and analytics are important components of successful projects
• How to use organizational culture to the benefit of project management
• How to manage international businesses using social media
• Discuss the role of entrepreneurs and founders in project development
• Effective operation strategies for developing projects
• How to adjust and adapt to organizational change
• Performance indicators that are necessary for competitive project management
• The role of feedback in the development of any commercial project
• Why personal productivity is necessary for any project management strategy
• Reasons why health and behavioral science are important in project management
• Discuss the effects of globalization on project management policies

Quality Research Topics In Management

• Discuss the role of government policies and regulations in project management
• How power and influence impact award of tenders for various projects
• Human rights to consider in project management
• The role of incubation hubs in project development
• Cross-functional management in projects
• Team member engagement in project management
• Legal issues in project management
• Political interference in development projects
• Evaluate various workspaces design
• Why should workplace health and safety be a priority in project management?
• Virtual teams and project management
• Why mission statements are necessary for project management

Construction Project Management Research Topics

• Best practices in digital project management
• How English as a language necessitates project management
• Online technologies that offer innovative project management ideas
• Student-centered symposiums in project management
• Cheap project management solutions that offer quality output
• The role of expatriates in development projects
• Discuss the four phases of project management
• How to manage change in a project
• Agile innovation methods for project success
• Quantitative tools for project management
• The revival of the construction project economy
• Developing sustainable construction projects
• The impact of building information modeling
• Collaborative work in project management

Want an Expert to Do Your Research?

Scoring top grades is no longer a wish but a reality with these topics. If you wish to hire professional dissertation writers for your project management task, type ‘do my thesis,’ Our writers will come through for you. Our writing assistance is all you need to ace your project management paper today!

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Best Disaster Management Topic Ideas

Published by Owen Ingram at December 29th, 2022 , Revised On April 26, 2024

Disasters can potentially be quite dangerous to the continued existence of humans on Earth. Therefore, it is crucial to develop fresh, cutting-edge approaches to managing the damage caused by natural disasters. Students of disaster management studies find it difficult to complete their graduate and post-graduate studies due to the extensive research required in dissertations, and the first step towards it is the dissertation topic. Dissertation themes on disaster management cover all the tactics, policies, and plans relating to disaster management. In addition, evaluating disasters and their effects on various populations is another important area for disaster management research.

If you are looking for specific, focused and relevant disaster management thesis ideas, your search is over. We have provided a great selection of disaster management topics below for your consideration.

Intriguing Disaster Management Topics & Ideas

• A thorough examination of occupational therapists’ contributions to disaster management.
• An analytical investigation of how disaster management can help flood victims remain resilient.
• Relationships between community-based organisations in managing regional disasters.
• Managing the Arsenic Disaster in Water Supply: Risk Assessment, Medical Costs, and Bangladeshi Policy Options.
• Comparison of the Chinese and Turkish disaster management programs, with recommendations.
• Setting Up Disaster Resilience Indicators for Taiwan’s Tan-SUI River Basin.
• An analysis of how food aid affects the growth of schooling.
• An evaluation of the damaging effects of flooding and methods to prevent the calamity.
• An explanation Examining the part weather radar plays in catastrophe management procedures.
• Analysis of how catastrophe management policies and techniques compare ethically.
• Analysis of Potential Large-Scale Natural Disasters: A Case Study of Wenzhou City, China
• Information technology’s potential benefits and drawbacks in the field of catastrophe management.
• Effects of a comprehensive system of geospatial information services in disaster management.
• An evaluation of the connection between cultural diversity and readiness for disasters
• Issues with the cyclone disaster management system and proposed fixes.
• How do big data computing and social sensing maintain catastrophe management? A systematic approach.
• A comparison of developed and developing countries approaches to catastrophe management.
• The part social workers play in X country’s disaster management programs.
• An evaluation of risk management techniques aimed at boosting food security
• Disaster management decision-making processes: how are emergencies handled?
• A descriptive approach to disaster management systems for people with disabilities.
• Extreme Natural Event Mitigation: A Study of the Latin American National Disaster Funds.
• A survey of the literature on the role performed by drone applications in disaster management systems.
• Philippines Natural Disaster Risk Management: Reducing Vulnerability.
• Ensure sustainable hazard mitigation through community planning, public involvement, and disaster management.
• A thorough investigation of money and technology’s role in keeping a disaster management organisation operational.
• Disaster Vulnerability and Evacuation Readiness: Floridians living in coastal mobile homes.
• A Critical Perspective on the Relationships Between Natural Disasters, Humanitarian Aid, and Disaster Risk Reduction.
• Findings from a Field Survey in Post-Earthquake Nepal on Natural Disaster Damages and Their Relationship to Coping Strategy Choices.
• Investigating the Impact of Disasters on Local Businesses in the UK.
• An analysis of the Impact of Natural Disasters on Equity and Efficiency in Developing Countries.
• Examining the Ethical Considerations in Balancing Equity and Efficiency in Disaster Risk Management.
• Investigating the Modes of Communication in a Disaster.
• The Impact of Weak Governance on Disaster Management.
• An Analysis of the Different Species Affected by Disasters.
• The Effect of the Magnitude of an Earthquake on Property Destruction.
• Exploring the Benefits of Disaster to People who Experience them.
• A Systematic Analysis of the Role Played by Occupational Therapists in Disaster Management.

Final Words

There you go. Use or get inspired by our list of top trending dissertation topics on disaster management to kickstart your dissertation writing . Make sure to research your topic well and pass some ideas to your supervisor before you begin writing. If you are still having trouble deciding on a suitable topic and moving on with the proposal, you can get professional help from our topic and outline services available online. Start writing!

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AgriLife Today

Texas A&M AgriLife's digital magazine and newsroom

Virtual East Texas Pasture Management Program set April 5

Continuing education units available to participants.

March 21, 2024 - by Rob Williams

The Texas A&M AgriLife Extension Service will host a virtual East Texas Pasture Management Program on April 5.

The online program will run from 8:30 a.m.-3 p.m. via the Zoom meeting platform. Registration cost is $35. Attendees must pre-register at https://tx.ag/VirtualETPastureMgt before 11 a.m. on April 4. 

There will be five Texas Department of Agriculture continuing education units available, including one laws and regulations, one integrated pest management and three general units.

Practice sessions will be available the week before the program to allow time for people to become familiar with connecting to the platform.

Pasture management program topics

A morning and afternoon session topics will focus on beef and forage production and will include:

• Pest control in the pasture — Jonathan Cammack, Ph.D., assistant professor in the Department of Entomology and Plant Pathology, Oklahoma State University, Stillwater, Oklahoma.
• Pesticide modes of action — Mark Matocha, Ph.D., AgriLife Extension agricultural and environmental unit pesticide safety education specialist, AgriLife Extension Agricultural and Environmental Safety Unit , Bryan-College Station.
• Beef cattle external parasite control — Jason Banta, Ph.D., AgriLife Extension beef cattle specialist and professor in the Department of Animal Science , Overton.
• Drift management and drone use in agriculture — Scott Nolte, Ph.D., AgriLife Extension state weed specialist and associate professor in the  Department of Soil and Crop Sciences , Bryan-College Station.
• Weed control in pastures and hay meadows — Vanessa Corriher-Olson, Ph.D., AgriLife Extension forage specialist and professor in the Department of Soil and Crop Sciences, Overton.

For more information, contact Michelle Sensing at 903-847-6011 or [email protected] .

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Are you interested in this content, need high resolution photos or assistance getting connected with an expert to learn more? Please contact our media relations team at [email protected] .

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