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Leveraging Traditional and Generative Artificial Intelligence for Programmatic Decision Making in Faculty Development.

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Title: Leveraging Traditional and Generative Artificial Intelligence for Programmatic Decision Making in Faculty Development.
Authors: Haischer-Rollo GD; Dr. Haischer-Rollo: Assistant dean for faculty development, associate professor, Department of Pediatrics, School of Medicine, Uniformed Services University, Bethesda, MD. Dr. Servey: Associate dean for faculty affairs, professor, Department of Family Medicine, School of Medicine, Uniformed Services University, Bethesda, MD. Ms. Zelelew: Data analyst II, Office of Faculty Affairs, School of Medicine, Uniformed Services University, Bethesda, MD. Dr. McFate: Director of faculty affairs, assistant professor, Department of Family Medicine, School of Medicine, Uniformed Services University, Bethesda, MD. Ms. Chi: Education coordinator II, Office of Faculty Affairs, School of Medicine, Uniformed Services University, Bethesda, MD. Dr. Duncan: Assistant dean for assessment, assistant professor, Department of Preventive Medicine and Biostatistics, School of Medicine, Uniformed Services University, Bethesda, MD., Servey JT, Zelelew B, McFate T, Chi I, Duncan J
Source: The Journal of continuing education in the health professions [J Contin Educ Health Prof] 2026 Jun 10. Date of Electronic Publication: 2026 Jun 10.
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Health, Inc Country of Publication: United States NLM ID: 8805847 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1554-558X (Electronic) Linking ISSN: 08941912 NLM ISO Abbreviation: J Contin Educ Health Prof Subsets: MEDLINE
Database: MEDLINE Ultimate
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