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The Digital Health Competencies in Medical Education Framework
Journal
JAMA Network Open
ISSN
2574-3805
Date Issued
2025-01-31
Author(s)
Josip Car
Qi Chwen Ong
Tatiana Erlikh Fox
Daniel Leightley
Sandra J. Kemp
Igor Švab
Kelvin K. F. Tsoi
Amir H. Sam
Fiona M. Kent
Attila J. Hertelendy
Christopher A. Longhurst
John Powell
Hossam Hamdy
Huy V.Q. Nguyen
Sola Aoun Bahous
Mai Wang
Martin Baumgartner
Yodi Mahendradhata
Natasa Popovic
Andy W. H. Khong
Charles G. Prober
Rifat Atun
Abebe Bekele Zerihun
Akira-Sebastian Poncette
Al Joseph R. Molina
Albano V.L. Ferreira
Almir Fajkić
Amit Kaushal
Andrew J. Farmer
Andrew S. Lane
Andrzej A. Kononowicz
Aparna V. Bhongir
Barnabas T. Alayande
Benard Ayaka Bene
Christian J. Dameff
Cynthia Hallensleben
David A. Back
Dawan J. Hawezy
Dieudonné Steve M. Tulantched
Ekaterina Kldiashvili
Emmanuel K. Achampong
Ganesh Ramachandran
Goran Hauser
Jakob Grove
Jason P. Y. Cheung
John O. Imaralu
John O. Sotunsa
Juan P. Bulnes Vides
Katharine S. Lawrence
Louis Agha-Mir-Salim
Luca Saba
Luxia Zhang
Mahmoud M. A. Elfiky
Markus W. Hesseling
Michelle P. Guppy
Mrunal S. Phatak
Muna A. A. Al Saadoon
Nai Ming Lai
Niels H. Chavannes
Oliver Kimberger
Pedro Povoa
Poh-Sun Goh
Rebecca Grainger
Rishi S. Nannan Panday
Rowena Forsyth
Sandro Vento
Sang Yeoup Lee
Sanjay Kumar Yadav
Shabbir Syed-Abdul
Simone Appenzeller
Spiros Denaxas
Stephen Ekundayo Garba
Tabea Flügge
Tomislav Bokun
Vajira H. W. Dissanayake
Vincent Ho
Yasser A. Obadiel
DOI
doi:10.1001/jamanetworkopen.2024.53131
Abstract
IMPORTANCE Rapid digitalization of health care and a dearth of digital health education for medical
students and junior physicians worldwide means there is an imperative for more training in this
dynamic and evolving field.
OBJECTIVE To develop an evidence-informed, consensus-guided, adaptable digital health
competencies framework for the design and development of digital health curricula in medical
institutions globally.
EVIDENCE REVIEW A core group was assembled to oversee the development of the Digital Health
Competencies in Medical Education (DECODE) framework. First, an initial list was created based on
findings from a scoping review and expert consultations. A multidisciplinary and geographically
diverse panel of 211 experts from 79 countries and territories was convened for a 2-round, modified
Delphi survey conducted between December 2022 and July 2023, with an a priori consensus level of
70%. The framework structure, wordings, and learning outcomes with marginal percentage of
agreement were discussed and determined in a consensus meeting organized on September 8,
2023, and subsequent postmeeting qualitative feedback. In total, 211 experts participated in round 1,
149 participated in round 2, 12 participated in the consensus meeting, and 58 participated in
postmeeting feedback.
FINDINGS The DECODE framework uses 3 main terminologies: domain, competency, and learning
outcome. Competencies were grouped into 4 domains: professionalism in digital health, patient and
population digital health, health information systems, and health data science. Each competency is
accompanied by a set of learning outcomes that are either mandatory or discretionary. The final
framework comprises 4 domains, 19 competencies, and 33 mandatory and 145 discretionary learning
outcomes, with descriptions for each domain and competency. Six highlighted areas of
considerations for medical educators are the variations in nomenclature, the distinctiveness of digital
health, the concept of digital health literacy, curriculum space and implementation, the inclusion of
discretionary learning outcomes, and socioeconomic inequities in digital health education.
CONCLUSIONS AND RELEVANCE This evidence-informed and consensus-guided framework will
play an important role in enabling medical institutions to better prepare future physicians for the
ongoing digital transformation in health care. Medical schools are encouraged to adopt and adapt this
framework to align with their needs, resources, and circumstances.
students and junior physicians worldwide means there is an imperative for more training in this
dynamic and evolving field.
OBJECTIVE To develop an evidence-informed, consensus-guided, adaptable digital health
competencies framework for the design and development of digital health curricula in medical
institutions globally.
EVIDENCE REVIEW A core group was assembled to oversee the development of the Digital Health
Competencies in Medical Education (DECODE) framework. First, an initial list was created based on
findings from a scoping review and expert consultations. A multidisciplinary and geographically
diverse panel of 211 experts from 79 countries and territories was convened for a 2-round, modified
Delphi survey conducted between December 2022 and July 2023, with an a priori consensus level of
70%. The framework structure, wordings, and learning outcomes with marginal percentage of
agreement were discussed and determined in a consensus meeting organized on September 8,
2023, and subsequent postmeeting qualitative feedback. In total, 211 experts participated in round 1,
149 participated in round 2, 12 participated in the consensus meeting, and 58 participated in
postmeeting feedback.
FINDINGS The DECODE framework uses 3 main terminologies: domain, competency, and learning
outcome. Competencies were grouped into 4 domains: professionalism in digital health, patient and
population digital health, health information systems, and health data science. Each competency is
accompanied by a set of learning outcomes that are either mandatory or discretionary. The final
framework comprises 4 domains, 19 competencies, and 33 mandatory and 145 discretionary learning
outcomes, with descriptions for each domain and competency. Six highlighted areas of
considerations for medical educators are the variations in nomenclature, the distinctiveness of digital
health, the concept of digital health literacy, curriculum space and implementation, the inclusion of
discretionary learning outcomes, and socioeconomic inequities in digital health education.
CONCLUSIONS AND RELEVANCE This evidence-informed and consensus-guided framework will
play an important role in enabling medical institutions to better prepare future physicians for the
ongoing digital transformation in health care. Medical schools are encouraged to adopt and adapt this
framework to align with their needs, resources, and circumstances.
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