Perspectives and Experiences With Large Language Models in Health Care: Survey Study
Despite the reported benefits of LLMs, nonusers-primarily health care workers, older individuals, and females-appeared more hesitant to adopt these tools. These findings underscore the need for targeted education and support to address adoption barriers and ensure the successful integration of LLMs in health care. Anticipated role changes, evolving human interactions, and the risk of the digital divide further emphasize the need for careful implementation and ongoing evaluation of LLMs in health care to ensure equity and sustainability.
Authors
- Yuchen Wang (ORCID: https://orcid.org/0000-0002-1403-4258)
- Alexander Wenjun Yip (ORCID: https://orcid.org/0000-0002-9800-1727)
- Jennifer Sumner (ORCID: https://orcid.org/0000-0002-2200-3275)
- Si Ying Tan (ORCID: https://orcid.org/0000-0003-0119-6415)
- Emily Hwee Hoon Chew (ORCID: https://orcid.org/0000-0002-1686-0588)
Institutions
- National University of Singapore (SG)
- Alexandra Hospital (SG)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2196/67383
- Citations
- 7
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 4.58