Yunzhu Ouyang, Qi Guo, Cecilia B Alves, Andrea J Gotzmann, Marguerite Roy, Judy L McCormick
{"title":"探索新兴医师能力：分析医疗保健影响者对X的见解。","authors":"Yunzhu Ouyang, Qi Guo, Cecilia B Alves, Andrea J Gotzmann, Marguerite Roy, Judy L McCormick","doi":"10.1080/0142159X.2025.2560578","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":18643,"journal":{"name":"Medical Teacher","volume":" ","pages":"1-10"},"PeriodicalIF":3.3000,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring emerging physician competencies: Analyzing insights from medical care influencers on X.\",\"authors\":\"Yunzhu Ouyang, Qi Guo, Cecilia B Alves, Andrea J Gotzmann, Marguerite Roy, Judy L McCormick\",\"doi\":\"10.1080/0142159X.2025.2560578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>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.</p><p><strong>Method: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":18643,\"journal\":{\"name\":\"Medical Teacher\",\"volume\":\" \",\"pages\":\"1-10\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical Teacher\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1080/0142159X.2025.2560578\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Teacher","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/0142159X.2025.2560578","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
Exploring emerging physician competencies: Analyzing insights from medical care influencers on X.
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.
期刊介绍：
Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.
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