Digital health competencies in medical school education: a scoping review and Delphi method study

Author:

Khurana Mark P.,Raaschou-Pedersen Daniel E.,Kurtzhals Jørgen,Bardram Jakob E.,Ostrowski Sisse R.,Bundgaard Johan S.

Abstract

Abstract 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.

Publisher

Springer Science and Business Media LLC

Subject

Education,General Medicine

Reference31 articles.

1. World Health Organization. WHO guideline: recommendations on digital interventions for health system strengthening. Executive summary. Geneva: World Health Organization; 2019. (WHO/RHR/19.8). Available from: https://apps.who.int/iris/bitstream/handle/10665/311977/WHO-RHR-19.8-eng.pdf?ua=1.

2. Senbekov M, Saliev T, Bukeyeva Z, Almabayeva A, Zhanaliyeva M, Aitenova N, et al. The recent progress and applications of digital technologies in Healthcare: a review. Fayn J, editor. Int J Telemed Appl. 2020;2020:1–18. Available from: https://www.hindawi.com/journals/ijta/2020/8830200/.

3. Smuck M, Odonkor CA, Wilt JK, Schmidt N, Swiernik MA. The emerging clinical role of wearables: factors for successful implementation in healthcare. NPJ Digit Med. 2021;4(1):45. Available from: http://www.nature.com/articles/s41746-021-00418-3.

4. Sjoding MW, Taylor D, Motyka J, Lee E, Co I, Claar D, et al. Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation. Lancet Digit Heal. 2021;3(6):e340–8 Available from: https://linkinghub.elsevier.com/retrieve/pii/S258975002100056X.

5. Jiang Y, Liang X, Han Z, Wang W, Xi S, Li T, et al. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study. Lancet Digit Heal. 2021;3(6):e371–82. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2589750021000650.

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