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Digital health competencies in medical school education: a scoping review and Delphi method study
Open accessAbstract
INTRODUCTION: In order to fulfill the enormous potential of digital health in the healthcare sector, digital health must become an integrated part of medical education. We aimed to investigate which knowledge, skills and attitudes should be included in a digital health curriculum for medical students through a scoping review and Delphi method study. METHODS: We conducted a scoping review of the literature on digital health relevant for medical education. Key topics were split into three sub-categories: knowledge (facts, concepts, and information), skills (ability to carry out tasks) and attitudes (ways of thinking or feeling). Thereafter, we used a modified Delphi method where experts rated digital health topics over two rounds based on whether topics should be included in the curriculum for medical students on a scale from 1 (strongly disagree) to 5 (strongly agree). A predefined cut-off of ≥4 was used to identify topics that were critical to include in a digital health curriculum for medical students. RESULTS: The scoping review resulted in a total of 113 included articles, with 65 relevant topics extracted and included in the questionnaire. The topics were rated by 18 experts, all of which completed both questionnaire rounds. A total of 40 (62%) topics across all three sub-categories met the predefined rating cut-off value of ≥4. CONCLUSION: An expert panel identified 40 important digital health topics within knowledge, skills, and attitudes for medical students to be taught. These can help guide medical educators in the development of future digital health curricula.
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“It requires algorithmic validation, using techniques such as federated learning or subgroup analysis, to ensure they are controlled for bias [37,45]”
From An evidence-based approach to artificial intelligence education for medical students: A systematic review (2023) · cites this paper as [45]
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“Eleven studies suggest that physicians should understand the role of data science in AI [12,13,16,37,39,41,42,45].”
From An evidence-based approach to artificial intelligence education for medical students: A systematic review (2023) · cites this paper as [45]
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“Nine studies discuss the need for a fundamental understanding of AI ethics to improve the adoption of AI in medicine and ensure its safe use [12,13,16,37,39,45].”
From An evidence-based approach to artificial intelligence education for medical students: A systematic review (2023) · cites this paper as [45]
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Metadata
- Authors
- Khurana, M. P., Raaschou-Pedersen, D. E., Kurtzhals, J., Bardram, J. E., Ostrowski, S. R., & Bundgaard, J. S.
- Affiliations
- University of Copenhagen (DK)
- Technical University of Denmark (DK)
- Copenhagen University Hospital (DK)
- Corresponding author
- Khurana, Mark P.
- ORCID
- Venue
- BMC Medical Education
- Published
- 2022-02-26
- Volume
- 22
- Issue
- 1
- Pages
- 129-129
- ISSN
- 1472-6920 (ISSN-L)
- PMC
- PMC8881190
- OpenAlex
- W4214484266
- Cited by
- 129
- References
- 27
- Citations by year
- 2026: 15 · 2025: 36 · 2024: 49 · 2023: 21 · 2022: 7
- FWCI
- 5.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Medical Education (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, cc-by)
- Topics
- Social Sciences › Education › Innovations in Medical Education
- Health Sciences › Health Professions › General Health Professions › Health and Medical Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- digital health competencies, medical education, medical students, knowledge, skills and attitudes, expert consensus, digital health literacy
- MeSH terms
- Curriculum, Delphi Technique, Education, Medical, Humans, Schools, Medical, Students, Medical
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