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

Theme Issue 2023: Digital Health Skills and Competencies for Clinicians and Health Care Professionals (17) Viewpoint and Opinions on Innovation in Medical Education (84) Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics (205) eHealth Literacy / Digital Literacy (564) Continuing Medical Education (CME) for Allied Health Professionals (169) Clinical Information and Decision Making (2051) Decision Support for Health Professionals (1624) Big Data (317)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52290, first published .
A Call for a Health Data–Informed Workforce Among Clinicians

A Call for a Health Data–Informed Workforce Among Clinicians

A Call for a Health Data–Informed Workforce Among Clinicians

Authors of this article:

Joy Doll1 Author Orcid Image ;   A Jerrod Anzalone2 Author Orcid Image ;   Martina Clarke3 Author Orcid Image ;   Kathryn Cooper3 Author Orcid Image ;   Ann Polich4 ;   Jacob Siedlik5 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics Author Video

Journals

  1. Affleck E, Kain N, Lindeman C, Hurava I, Kim Y, Kjelland K, Kumar K. Health data access, quality, and use: Factors impacting physician performance. Healthcare Management Forum 2025;38(5):425 View
  2. Bouchmal S, Sion K, Hamers J, Aarts S. Toward Data-Informed Care in Long-Term Care: Qualitative Analysis. JMIR Aging 2025;8:e69423 View
  3. Van Scharen A, Cruyt K, Colon J, De Sutter S, Duerinck J, Forsyth R, Olsen C, Quinn P, Tzavella K, Van Dooren S, Waelput W, Witdouck A, Cornu P, Vandemeulebroucke J, Vranken W. Unlocking Health Data for Research: Legal, Technical, and Organisational Lessons from a Belgian Interdisciplinary Case Study. Journal of Healthcare Informatics Research 2026;10(1):179 View
  4. Balsano C, Cabitza F, Cicco S, Gori M, Malerba D, Montagna M, Tarquini R, Vacca A. Artificial intelligence in medicine: a position paper by the Italian Society of Internal Medicine. Internal and Emergency Medicine 2026;21(1):1 View
  5. Montagna M, Rabadzhiev A, Traverso A, Setola E, Draetta E, Dimonte A, Barbieri S, Fabiani B, Piemonti L, Esposito A, Tacchetti C, Rovere Querini P. From raw data to actionable insights: preprocessing real-world data for machine learning in diabetes care. Frontiers in Digital Health 2026;8 View