This paper is in the following e-collection/theme issue:

Methods and Instruments in Medical Informatics (126) Theoretical Frameworks and Concepts (252)
Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development

Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development

Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development

Authors of this article:

Kathleen Gray1 Author Orcid Image ;   Paulina Sockolow2 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Stark D, Kumar R, Longhurst C, Wall D. The Quantified Brain: A Framework for Mobile Device-Based Assessment of Behavior and Neurological Function. Applied Clinical Informatics 2016;07(02):290 View
  2. Prodinger B, Taylor P. Improving quality of care through patient-reported outcome measures (PROMs): expert interviews using the NHS PROMs Programme and the Swedish quality registers for knee and hip arthroplasty as examples. BMC Health Services Research 2018;18(1) View
  3. Faber S, van Geenhuizen M, de Reuver M. eHealth adoption factors in medical hospitals: A focus on the Netherlands. International Journal of Medical Informatics 2017;100:77 View
  4. Garvin J, Kim Y, Gobbel G, Matheny M, Redd A, Bray B, Heidenreich P, Bolton D, Heavirland J, Kelly N, Reeves R, Kalsy M, Goldstein M, Meystre S. Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs. JMIR Medical Informatics 2018;6(1):e5 View
  5. Haux R, Kulikowski C, Bakken S, de Lusignan S, Kimura M, Koch S, Mantas J, Maojo V, Marschollek M, Martin-Sanchez F, Moen A, Park H, Neil Sarkar I, Yun Leong T, McCray A. Research Strategies for Biomedical and Health Informatics. Methods of Information in Medicine 2017;56(S 01):e1 View
  6. Shen N, Bernier T, Sequeira L, Strauss J, Silver M, Carter-Langford A, Wiljer D. Understanding the patient privacy perspective on health information exchange: A systematic review. International Journal of Medical Informatics 2019;125:1 View
  7. Maritz R, Aronsky D, Prodinger B. The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records. Applied Clinical Informatics 2017;8(3):964 View
  8. Sockolow P, Yang Y. Preparing for the Improving Medicare Post-Acute Care Transformation Act. CIN: Computers, Informatics, Nursing 2021;39(11):813 View
  9. Espinoza J, Sikder A, Dickhoner J, Lee T. Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework. JMIR Formative Research 2021;5(12):e25833 View
  10. Brown S, Hudson C, Hamid A, Berman G, Echefu G, Lee K, Lamberg M, Olson J. The pursuit of health equity in digital transformation, health informatics, and the cardiovascular learning healthcare system. American Heart Journal Plus: Cardiology Research and Practice 2022;17:100160 View
  11. Maritz R, Aronsky D, Prodinger B. The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records. Applied Clinical Informatics 2017;08(03):964 View
  12. Abuauf M, Raboe E, Alshareef M, Rabie N, Zailaie R, Alharbi A, Felemban W, Alnasser I, Shalaby H. COVID-19 Conceptual Modeling: Single-Center Cross-Sectional Study. JMIR Formative Research 2023;7:e41376 View
  13. Bozorgmehr A, Thiem S, Wild D, Reinsdorff M, Vollmar H, Kappernagel A, Schloessler K, Weissbach S, Pentzek M, Dehnen D, Drexler J, Mueller B, Pilic L, Lehmann L, Loescher S, Hohmann E, Frank F, Ates G, Kersten S, Mortsiefer A, Aretz B, Weltermann B. Use of the FallAkte Plus System as an IT Infrastructure for the North Rhine-Westphalian General Practice Research Network: Mixed Methods Usability Study. JMIR Formative Research 2024;8:e53206 View

Books/Policy Documents

  1. Gray K, Gilbert C. Advances in Biomedical Informatics. View