Car Josip, Ong Qi Chwen, Erlikh Fox Tatiana, Leightley Daniel, Kemp Sandra J, Švab Igor, Tsoi Kelvin K F, Sam Amir H, Kent Fiona M, Hertelendy Attila J, Longhurst Christopher A, Powell John, Hamdy Hossam, Nguyen Huy V Q, Aoun Bahous Sola, Wang Mai, Baumgartner Martin, Mahendradhata Yodi, Popovic Natasa, Khong Andy W H, Prober Charles G, Atun Rifat, Bekele Zerihun Abebe, Poncette Akira-Sebastian, Molina Al Joseph R, Ferreira Albano V L, Fajkic Almir, Kaushal Amit, Farmer Andrew J, Lane Andrew S, Kononowicz Andrzej A, Bhongir Aparna V, Alayande Barnabas T, Bene Benard Ayaka, Dameff Christian J, Hallensleben Cynthia, Back David A, Hawezy Dawan J, Tulantched Dieudonné Steve M, Kldiashvili Ekaterina, Achampong Emmanuel K, Ramachandran Ganesh, Hauser Goran, Grove Jakob, Cheung Jason P Y, Imaralu John O, Sotunsa John O, Bulnes Vides Juan P, Lawrence Katharine S, Agha-Mir-Salim Louis, Saba Luca, Zhang Luxia, Elfiky Mahmoud M A, Hesseling Markus W, Guppy Michelle P, Phatak Mrunal S, Al Saadoon Muna A A, Lai Nai Ming, Chavannes Niels H, Kimberger Oliver, Povoa Pedro, Goh Poh-Sun, Grainger Rebecca, Nannan Panday Rishi S, Forsyth Rowena, Vento Sandro, Lee Sang Yeoup, Yadav Sanjay Kumar, Syed-Abdul Shabbir, Appenzeller Simone, Denaxas Spiros, Garba Stephen Ekundayo, Flügge Tabea, Bokun Tomislav, Dissanayake Vajira H W, Ho Vincent, Obadiel Yasser A
School of Life Course and Population Sciences, King's College London, London, United Kingdom.
Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
JAMA Netw Open. 2025 Jan 2;8(1):e2453131. doi: 10.1001/jamanetworkopen.2024.53131.
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.
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.
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.
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.
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.
全球医疗保健的快速数字化以及医学生和初级医生缺乏数字健康教育,这意味着在这个动态发展的领域进行更多培训势在必行。
为全球医疗机构设计和开发数字健康课程,制定一个基于证据、共识引导且可适应的数字健康能力框架。
组建了一个核心小组来监督医学教育数字健康能力(DECODE)框架的开发。首先,根据范围审查和专家咨询的结果创建了一个初始清单。来自79个国家和地区的211名专家组成了一个多学科、地域多元化的小组,于2022年12月至2023年7月进行了两轮修改后的德尔菲调查,先验共识水平为70%。在2023年9月8日组织的共识会议以及随后的会后定性反馈中,讨论并确定了框架结构、措辞以及达成一致的边际百分比的学习成果。共有211名专家参与了第一轮,149名参与了第二轮,12名参与了共识会议,58名参与了会后反馈。
DECODE框架使用3个主要术语:领域、能力和学习成果。能力被分为4个领域:数字健康中的专业素养、患者和人群数字健康、健康信息系统以及健康数据科学。每个能力都伴随着一组强制性或可选性的学习成果。最终框架包括4个领域、19项能力、33项强制性和145项可选性学习成果,并对每个领域和能力进行了描述。医学教育工作者需要考虑的六个突出领域是术语的差异、数字健康的独特性、数字健康素养的概念、课程空间和实施、可选性学习成果的纳入以及数字健康教育中的社会经济不平等。
这个基于证据和共识引导的框架将在使医疗机构能够更好地为未来医生应对医疗保健领域正在进行的数字转型做好准备方面发挥重要作用。鼓励医学院校采用和调整这个框架,以符合其需求、资源和情况。