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Exploring emerging physician competencies: Analyzing insights from medical care influencers on X

Yunzhu Ouyang,Qi Guo,C. B. Alves,Andrea J Gotzmann,Marguerite Roy,Judy McCormick

Published 2025 in Medical Teacher

ABSTRACT

Abstract Purpose In the post-COVID era, recognizing evolving physician competencies is crucial for guiding medical education and test development. This study aimed to extract valuable insights concerning emerging physician competencies from influencers’ posts on X, leveraging an AI-driven approach. Method Two datasets pertaining to medical competency were analyzed, with posts collected from January 1, 2020, to June 1, 2023. Social network analyses were performed to identify influencers leading medical competency conversations on X. ChatGPT was utilized for textual analyses of influencers’ posts to reveal core themes of physician competencies. Results Social network analysis revealed that medical professionals played a predominant role in disseminating information on medical competency on X. Textual analysis identified six core themes in the CanMEDS dataset—clinical learning environment, anti-racism, EDI, adaptive expertise, planetary health, and leadership development—and seven in the MedEd dataset—cultural competency, structural competency, assessment models, virtual care, EDI, leadership development, and wellness. Conclusion The identified themes emphasize physicians’ competencies in addressing health disparities, preparing for real-world challenges, adapting to the evolving healthcare landscape, and leading effectively in diverse healthcare settings. The findings hold significant implications for medical education, test development, and the integration of artificial intelligence in physician competency assessment.

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