AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study

Using the results of this study, we developed the AIFM-ed curriculum framework for AI training in postgraduate family medicine education. This framework serves as a structured guide for integrating AI competencies into medical education, ensuring that future family physicians are equipped with the necessary skills to use AI effectively in their clinical practice. Future research should focus on the validation and implementation of the AIFM-ed framework within family medicine education. Institutions also are encouraged to consider adapting the AIFM-ed framework within their own programs, tailoring it to meet the specific needs of their trainees and health care environments.

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Publication Details

Journal
JMIR Medical Education
Published
2025-04-25
DOI
https://doi.org/10.2196/66828
Citations
7
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
4.58
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article

AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study

Samira Abbasgholizadeh Rahimi, Fanny Hersson-Edery, Raymond Tolentino, Mark J. Yaffe⃰
7 citations
JMIR Medical Education
Artificial Intelligence in Healthcare and Education
4.58
article

AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study

Samira Abbasgholizadeh Rahimi, Fanny Hersson-Edery, Raymond Tolentino, Mark J. Yaffe⃰
article en
7 citations

Abstract

Using the results of this study, we developed the AIFM-ed curriculum framework for AI training in postgraduate family medicine education. This framework serves as a structured guide for integrating AI competencies into medical education, ensuring that future family physicians are equipped with the necessary skills to use AI effectively in their clinical practice. Future research should focus on the validation and implementation of the AIFM-ed framework within family medicine education. Institutions also are encouraged to consider adapting the AIFM-ed framework within their own programs, tailoring it to meet the specific needs of their trainees and health care environments.

JMIR Medical EducationVol. 11
McGill University Health Centre (CA), Jewish General Hospital (CA), St Mary's Hospital Centre (CA), Mila - Quebec Artificial Intelligence Institute (CA), McGill University (CA)
Quality Education
Openalex Percentile: Top 5%
Artificial Intelligence in Healthcare and Education
4.58
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AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study — Samira Abbasgholizadeh Rahimi, Fanny Hersson-Edery, et al. · JMIR Medical Education (2025) | TGRS Research Map | TGRS