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Kulasegaram KM, Grierson L, Barber C, Chahine S, Chou FC, Cleland J, Ellis R, Holmboe ES, Pusic M, Schumacher D, Tolsgaard MG, Tsai CC, Wenghofer E, Touchie C. Data sharing and big data in health professions education: Ottawa consensus statement and recommendations for scholarship. MEDICAL TEACHER 2024; 46:471-485. [PMID: 38306211 DOI: 10.1080/0142159x.2023.2298762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 02/04/2024]
Abstract
Changes in digital technology, increasing volume of data collection, and advances in methods have the potential to unleash the value of big data generated through the education of health professionals. Coupled with this potential are legitimate concerns about how data can be used or misused in ways that limit autonomy, equity, or harm stakeholders. This consensus statement is intended to address these issues by foregrounding the ethical imperatives for engaging with big data as well as the potential risks and challenges. Recognizing the wide and ever evolving scope of big data scholarship, we focus on foundational issues for framing and engaging in research. We ground our recommendations in the context of big data created through data sharing across and within the stages of the continuum of the education and training of health professionals. Ultimately, the goal of this statement is to support a culture of trust and quality for big data research to deliver on its promises for health professions education (HPE) and the health of society. Based on expert consensus and review of the literature, we report 19 recommendations in (1) framing scholarship and research through research, (2) considering unique ethical practices, (3) governance of data sharing collaborations that engage stakeholders, (4) data sharing processes best practices, (5) the importance of knowledge translation, and (6) advancing the quality of scholarship through multidisciplinary collaboration. The recommendations were modified and refined based on feedback from the 2022 Ottawa Conference attendees and subsequent public engagement. Adoption of these recommendations can help HPE scholars share data ethically and engage in high impact big data scholarship, which in turn can help the field meet the ultimate goal: high-quality education that leads to high-quality healthcare.
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Affiliation(s)
| | - Lawrence Grierson
- Department of Family Medicine, McMaster University, Hamilton, Canada
| | - Cassandra Barber
- School of Health Professions Education, Maastricht University, Maastricht, Netherlands
| | - Saad Chahine
- Faculty of Education, Queen's University, Kingston, Canada
| | - Fremen Chichen Chou
- Faculty of Education, Center for Faculty Development, China Medical University Hospital, Taichung City, Taiwan
| | - Jennifer Cleland
- Director of Medical Education Research & Scholarship Unit, Lee Kong Chian School of Medicine, Singapore
| | | | - Eric S Holmboe
- Accreditation Council for Graduate Medical Education, Chicago, IL, USA
| | | | - Daniel Schumacher
- Cincinnati Children's Hospital Medical Center/University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Martin G Tolsgaard
- Copenhagen Academy for Medical Education and Simulation, University of Copenhagen, Copenhagen, Denmark
| | - Chin-Chung Tsai
- Program of Learning Sciences, National Taiwan Normal University, Taipei, Taiwan
| | - Elizabeth Wenghofer
- School of Kinesiology and Health Sciences, Laurentian University, Sudbury, Canada
| | - Claire Touchie
- University of Ottawa/The Ottawa Hospital, Ottawa, Canada
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