Point‐counterpoint: What is the best strategy for developing generative AI for hospital medicine?
Generative Artificial Intelligence (Gen AI) shows significant promise as a technology that could improve healthcare delivery, but its implementation will be influenced by the spheres in which it is studied and the limited resources of hospitals. The Point authors argue that we should focus on is the cognitive abilities of GenAI or we risk being left out of a technological leap that will change the way doctors practice. The Counterpoint argues that we should focus on using GenAI to ease system burdens and address workflow issues, focusing our efforts on fixing the problems that would improve doctors' quality of life and increase time spent with patients.
Authors
- William Collins (ORCID: https://orcid.org/0000-0003-0974-2599)
- Byron Crowe (ORCID: https://orcid.org/0000-0001-9217-1533)
- Andre Kumar (ORCID: https://orcid.org/0000-0002-4631-3307)
- Hannah Kerman
Institutions
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- Palo Alto University (US)
- Stanford Medicine (US)
Publication Details
- Journal
- Journal of Hospital Medicine
- Published
- 2025-05-04
- DOI
- https://doi.org/10.1002/jhm.70070
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00