Presentation Date
10-2025
Files
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Description
Background: This study is part of a two-year, multi-institutional initiative led by Ithaka S+R examining how generative AI (GAI) is shaping higher education. 19 North American institutions, including the University of New Mexico (UNM), conducted 15–20 semi-structured faculty interviews exploring the impact of GAI on teaching, research, and academic practice. 246 interviews were completed nationally.
Objective: Explore faculty perceptions, uses, and concerns related to GAI in teaching and research to identify support needs.
Participants: 20 faculty across various disciplines at UNM were interviewed. This poster highlights interviews with 7 health sciences from internal medicine, pathology, psychiatry, nursing, radiology, and population health. Research interests among participants included health equity, substance use disorders, diagnostic tools, and machine learning.
Methods: Semi-structured interviews were conducted via Zoom in Spring 2024. Transcripts were analyzed using an emergent, in-vivo coding process to identify themes related to GAI familiarity, use, and needs.
Document Type
Poster
Conference/Presentation Location
SCC/MLA 2025
Language
English
Keywords
Generative AI in Higher Education, AI Integration in Health Sciences, Ethical Implications of AI
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Hall, Laura J. and Robyn Gleasner. "Exploring Generative AI in Health Sciences: A Qualitative Snapshot from a Multisite Study." (2025). https://digitalrepository.unm.edu/hslic-posters-presentations/208
Comments
Related publication:
Hall, Laura J. and Robyn Gleasner. "A Report Summarizing HSC Faculty Participants: ITHAKA S+R Coordinated Study Making AI Generative for Higher Education." (2024). https://digitalrepository.unm.edu/hslic-publications-papers/99