Perceptions and attitudes toward artificial intelligence among frontline physicians and physicians’ assistants in Kansas: a cross-sectional survey
The study highlights key factors affecting AI adoption in healthcare from the frontline healthcare professionals' perspective. These insights can guide strategies for successful AI implementation in healthcare.
Authors
- Robert G. Badgett (ORCID: https://orcid.org/0000-0003-2888-3303)
- Tanner Dean (ORCID: https://orcid.org/0000-0001-7473-2843)
- Rajeev Seecheran (ORCID: https://orcid.org/0000-0003-2008-5163)
- John Symons (ORCID: https://orcid.org/0000-0001-8173-2948)
- Rosey Zackula (ORCID: https://orcid.org/0000-0003-2439-8714)
Institutions
- Intermountain Healthcare (US)
- University of Kansas (US)
- University of New Mexico (US)
- Wichita State University (US)
- Center for Clinical Research (United States) (US)
Publication Details
- Journal
- JAMIA Open
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1093/jamiaopen/ooae100
- Citations
- 17
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.04
Funders
- U.S. Department of Defense
- National Institutes of Health
- National Center for Advancing Translational Sciences