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

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Τίτλος: Exploring emerging physician competencies: Analyzing insights from medical care influencers on X.
Συγγραφείς: Ouyang, Yunzhu, Guo, Qi, Alves, Cecilia B., Gotzmann, Andrea J., Roy, Marguerite, McCormick, Judy L.
Πηγή: Medical Teacher; Mar2026, Vol. 48 Issue 3, p444-453, 10p
Θεματικοί όροι: Generative artificial intelligence, Social media, Environmental health, School environment, Medical education, Social network analysis, Research funding, Social justice, Human services programs, Data mining, Cluster analysis (Statistics), Cultural competence, Leadership, Health, Educational tests & measurements, Telemedicine, Racism, Thematic analysis, Clinical competence, Conceptual structures, Physicians, National competency-based educational tests, Outcome-based education
Γεωγραφικοί όροι: Canada
Περίληψη: 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. [ABSTRACT FROM AUTHOR]
Copyright of Medical Teacher is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Exploring emerging physician competencies: Analyzing insights from medical care influencers on X.
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
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  Data: <i>Copyright of Medical Teacher is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/0142159X.2025.2560578
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        Text: English
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              Text: Mar2026
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