Identifying Necessary Conditions for AI Adoption: Medical Students’ Perspectives Across the COVID-19 Timeline

Americas Conference on Information Systems · 2025 · 1–10

digital-health
Authors

Ringeval, Mickaël

Paré, Guy

Raymond, Louis

Wagner, Gerit

Published

2025

Keywords

digital-health

Abstract

The integration of artificial intelligence health technologies (AIHTs) into medical practice depends on the readiness of future physicians. This study examines medical students’ behavioral intentions to adopt AIHTs across three timeframes – pre-, peri-, and post-COVID-19 – using Necessary Condition Analysis (NCA). Unlike traditional methods, NCA identifies essential, non-compensable factors influencing adoption. Findings reveal that belief in AIHTs’ role in medicine is a persistent necessary condition, while the perceived importance of AIHTs in the curriculum emerges as critical post-COVID-19. Despite increased familiarity and experimentation with AIHTs, these alone are insufficient to drive adoption. These insights underscore the need for medical curricula to emphasize AI literacy, hands-on training, and interdisciplinary collaboration. By identifying key conditions for AI adoption, this study informs educators and policymakers on preparing medical students for a technology-driven healthcare landscape.

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Citation (APA)

Ringeval, M., Paré, G., Raymond, L., & Wagner, G. (2025). Identifying Necessary Conditions for AI Adoption: Medical Students' Perspectives Across the COVID-19 Timeline. Americas Conference on Information Systems 1–10. https://aisel.aisnet.org/amcis2025/health_it/sig_health/22/

Citation: BibTeX

@inproceedings{RingevalPareRaymondEtAl2025,
  author     = {Ringeval, Mickaël and Paré, Guy and Raymond, Louis and Wagner, Gerit},
  booktitle  = {Americas Conference on Information Systems},
  title      = {Identifying Necessary Conditions for AI Adoption: Medical Students' Perspectives Across the COVID-19 Timeline},
  year       = {2025},
  pages      = {1--10},
  url        = {https://aisel.aisnet.org/amcis2025/health_it/sig_health/22/},
  abstract   = {The integration of artificial intelligence health technologies (AIHTs) into medical practice depends on the readiness of future physicians. This study examines medical students’ behavioral intentions to adopt AIHTs across three timeframes – pre-, peri-, and post-COVID-19 – using Necessary Condition Analysis (NCA). Unlike traditional methods, NCA identifies essential, non-compensable factors influencing adoption. Findings reveal that belief in AIHTs’ role in medicine is a persistent necessary condition, while the perceived importance of AIHTs in the curriculum emerges as critical post-COVID-19. Despite increased familiarity and experimentation with AIHTs, these alone are insufficient to drive adoption. These insights underscore the need for medical curricula to emphasize AI literacy, hands-on training, and interdisciplinary collaboration. By identifying key conditions for AI adoption, this study informs educators and policymakers on preparing medical students for a technology-driven healthcare landscape.}
}

Citation: RIS

TY  - CONF
AU  - Ringeval, Mickaël
AU  - Paré, Guy
AU  - Raymond, Louis
AU  - Wagner, Gerit
TI  - Identifying Necessary Conditions for AI Adoption: Medical Students' Perspectives Across the COVID-19 Timeline
T2  - Americas Conference on Information Systems
PY  - 2025
SP  - 1
EP  - 10
UR  - https://aisel.aisnet.org/amcis2025/health_it/sig_health/22/
ER  -