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Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education

Melchor Sánchez-Mendiola Orcid Logo, Megan Anakin Orcid Logo, Ardi Findyartini Orcid Logo, Rachel Levine, Ana Sergio Da Silva Orcid Logo, Farhan Saeed Vakani Orcid Logo

MedEdPublish, Volume: 15, Start page: 279

Swansea University Author: Ana Sergio Da Silva Orcid Logo

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DOI (Published version): 10.12688/mep.21403.1

Abstract

IntroductionGenerative AI (GenAI) tools are transforming health professions education, offering opportunities to enhance faculty development (FD). Faculty developers are uniquely positioned to integrate GenAI into practice to address resource constraints, improve accessibility, and foster equity acr...

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Published in: MedEdPublish
ISSN: 2312-7996
Published: F1000 Research Ltd 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa71319
first_indexed 2026-01-27T15:24:17Z
last_indexed 2026-01-28T05:36:35Z
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spelling 2026-01-27T15:27:20.7813808 v2 71319 2026-01-27 Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education de3fd9cf472af81153330806963ac7a9 0000-0001-7262-0215 Ana Sergio Da Silva Ana Sergio Da Silva true false 2026-01-27 MEDS IntroductionGenerative AI (GenAI) tools are transforming health professions education, offering opportunities to enhance faculty development (FD). Faculty developers are uniquely positioned to integrate GenAI into practice to address resource constraints, improve accessibility, and foster equity across diverse educational contexts. This Applied Insights article offers a perspective on how GenAI can be leveraged as a co-developer in FD by drawing on emerging literature and discussion points from a workshop at the 8th International Faculty Development Conference in the Health Professions.Applied insightsThe applied insights are structured around key phases of FD: planning, content creation, delivery, and evaluation. They include actionable strategies for using GenAI in needs assessment, multilingual and culturally relevant resource creation, personalized learning plans, and when providing feedback and mentorship. Each insight is rooted in pedagogical rationale, evidence, and strategies to address ethical and practical challenges, with an emphasis on human oversight, contextual relevance, and continuous evaluation of GenAI’s impact.ConclusionsBy considering these insights, faculty developers can harness GenAI to co-design educational materials, extend their reach through innovative formats, and maintain ethical and equity-driven educational practices. This article highlights the transformative potential of GenAI in FD when thoughtfully integrated. GenAI can empower faculty developers to enhance the quality and inclusivity of HPE while safeguarding educational standards. Journal Article MedEdPublish 15 279 F1000 Research Ltd 2312-7996 Generative artificial intelligence, Faculty development, Health professions education, Ethics, Equity, Technology-enhanced learning 8 12 2025 2025-12-08 10.12688/mep.21403.1 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee 2026-01-27T15:27:20.7813808 2026-01-27T15:21:26.3043703 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Melchor Sánchez-Mendiola 0000-0002-9664-3208 1 Megan Anakin 0000-0002-6499-7802 2 Ardi Findyartini 0000-0002-9601-3994 3 Rachel Levine 4 Ana Sergio Da Silva 0000-0001-7262-0215 5 Farhan Saeed Vakani 0000-0002-6215-5492 6 71319__36117__c189140ad2ab4642851383e0b8a96121.pdf 71319.VoR.pdf 2026-01-27T15:25:08.1839929 Output 2302132 application/pdf Version of Record true © 2025 Sánchez-Mendiola M et al. This is an open access article distributed under the terms of the Creative Commons Attribution License. true eng https://creativecommons.org/licenses/by/4.0/
title Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education
spellingShingle Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education
Ana Sergio Da Silva
title_short Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education
title_full Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education
title_fullStr Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education
title_full_unstemmed Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education
title_sort Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education
author_id_str_mv de3fd9cf472af81153330806963ac7a9
author_id_fullname_str_mv de3fd9cf472af81153330806963ac7a9_***_Ana Sergio Da Silva
author Ana Sergio Da Silva
author2 Melchor Sánchez-Mendiola
Megan Anakin
Ardi Findyartini
Rachel Levine
Ana Sergio Da Silva
Farhan Saeed Vakani
format Journal article
container_title MedEdPublish
container_volume 15
container_start_page 279
publishDate 2025
institution Swansea University
issn 2312-7996
doi_str_mv 10.12688/mep.21403.1
publisher F1000 Research Ltd
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
description IntroductionGenerative AI (GenAI) tools are transforming health professions education, offering opportunities to enhance faculty development (FD). Faculty developers are uniquely positioned to integrate GenAI into practice to address resource constraints, improve accessibility, and foster equity across diverse educational contexts. This Applied Insights article offers a perspective on how GenAI can be leveraged as a co-developer in FD by drawing on emerging literature and discussion points from a workshop at the 8th International Faculty Development Conference in the Health Professions.Applied insightsThe applied insights are structured around key phases of FD: planning, content creation, delivery, and evaluation. They include actionable strategies for using GenAI in needs assessment, multilingual and culturally relevant resource creation, personalized learning plans, and when providing feedback and mentorship. Each insight is rooted in pedagogical rationale, evidence, and strategies to address ethical and practical challenges, with an emphasis on human oversight, contextual relevance, and continuous evaluation of GenAI’s impact.ConclusionsBy considering these insights, faculty developers can harness GenAI to co-design educational materials, extend their reach through innovative formats, and maintain ethical and equity-driven educational practices. This article highlights the transformative potential of GenAI in FD when thoughtfully integrated. GenAI can empower faculty developers to enhance the quality and inclusivity of HPE while safeguarding educational standards.
published_date 2025-12-08T05:35:10Z
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score 11.096068

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