Accepted for/Published in: JMIR Medical Education
Date Submitted: Oct 31, 2023
Date Accepted: Jun 27, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The Digital Determinants of Health: Training Clinicians for the Future of Digital Care Delivery
ABSTRACT
Healthcare delivery is undergoing an accelerated period of digital transformation, spurred in-part by the COVID-19 pandemic and the use of “virtual-first” care delivery models like telemedicine. Medical education has responded to this shift with calls for improved “digital health” training, but there is as yet no universal understanding of needed competencies, domains, and best practices for teaching these skills. In this paper, we argue that the inclusion of a “digital determinants of health” (DDoH) framework for understanding the intersections of health outcomes, health technology, and training is critical to the development of comprehensive digital health competencies in medical education; much like the current social determinants of health models, this framework should be further developed for undergraduate, graduate, and professional training and systematically incorporated into formal competency evaluations. We provide possible approaches to integrating this framework into competency development and training programs and explore priorities for future research in digitally-competent medical education.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.