Data sharing and big data in health professions education: Ottawa consensus statement and recommendations for scholarship-Reference-Cited by-同舟云学术

Data sharing and big data in health professions education: Ottawa consensus statement and recommendations for scholarship

Published:2024-02-02 Issue: Volume: Page:1-15
ISSN:0142-159X
Container-title:Medical Teacher
language:en
Short-container-title:Medical Teacher

Author:

Kulasegaram Kulamakan (Mahan)¹^ORCID,Grierson Lawrence²^ORCID,Barber Cassandra³^ORCID,Chahine Saad⁴^ORCID,Chou Fremen Chichen⁵^ORCID,Cleland Jennifer⁶^ORCID,Ellis Ricky⁷^ORCID,Holmboe Eric S.⁸^ORCID,Pusic Martin⁹^ORCID,Schumacher Daniel¹⁰^ORCID,Tolsgaard Martin G.¹¹^ORCID,Tsai Chin-Chung¹²^ORCID,Wenghofer Elizabeth¹³^ORCID,Touchie Claire¹⁴^ORCID

Affiliation:

1. Wilson Centre & Department of Family & Community Medicine, University of Toronto, Toronto, Canada

2. Department of Family Medicine, McMaster University, Hamilton, Canada

3. School of Health Professions Education, Maastricht University, Maastricht, Netherlands

4. Faculty of Education, Queen’s University, Kingston, Canada

5. Faculty of Education, Center for Faculty Development, China Medical University Hospital, Taichung City, Taiwan

6. Director of Medical Education Research & Scholarship Unit, Lee Kong Chian School of Medicine, Singapore

7. University of Aberdeen, Aberdeen, UK

8. Accreditation Council for Graduate Medical Education, Chicago, IL, USA

9. Harvard School of Medicine, Boston, MA, USA

10. Cincinnati Children’s Hospital Medical Center/University of Cincinnati College of Medicine, Cincinnati, OH, USA

11. Copenhagen Academy for Medical Education and Simulation, University of Copenhagen, Copenhagen, Denmark

12. Program of Learning Sciences, National Taiwan Normal University, Taipei, Taiwan

13. School of Kinesiology and Health Sciences, Laurentian University, Sudbury, Canada

14. University of Ottawa/The Ottawa Hospital, Ottawa, Canada

Publisher

Informa UK Limited

Subject

Education,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/0142159X.2023.2298762

Reference100 articles.

1. [SQUIRE-EDU] Standards for Quality Improvement Reporting Excellence for Education. 2022. SQUIRE. SQUIRE EDU; [accessed 2022 Jul 6]. squire-statement.org.

2. Ahsaan Shafqat U Kaur H Naaz S. 2019. An empirical study of big data: opportunities challenges and technologies. In: Patnaik S Ip A Tavana M Jain V editors. New paradigm in decision science and management: advances in intelligent systems and computing. Vol. 1005. Singapore: Springer.

3. How Do You Deliver a Good Obstetrician? Outcome-Based Evaluation of Medical Education

4. In Search of Black Swans

5. Barocas S, Nissenbaum H. 2014. Big data’s end run around anonymity and consent. In: Jane L, Stodden V, Bender S, Nissenbaum H, editors. Privacy, big data, and the public good. New York (NY): Cambridge University Press; p. 44–75.