Patterns of Artificial Intelligence Adoption by Hospitals
This study examines artificial intelligence (AI) adoption in US hospitals using three distinct datasets: survey data from the American Hospital Association on AI for operations-related uses (27 percent adopt), employment data from Revelio Labs on workers at hospitals with AI skills (14 percent adopt), and publication data from Dimensions on hospital-affiliated researcher publications (8 percent adopt). Consistent with adoption patterns for the business internet and electronic medical records, AI adoption is higher in metro areas and larger hospitals. In contrast to the business internet, metro area and firm size do not appear to be substitute correlates with adoption.
Authors
- Florenta Teodoridis (ORCID: https://orcid.org/0000-0002-4917-5552)
- Avi Goldfarb (ORCID: https://orcid.org/0000-0002-8919-5814)
- Xuesong He (ORCID: https://orcid.org/0000-0002-3455-9879)
Institutions
- University of Southern California (US)
- University of Toronto (CA)
Publication Details
- Journal
- AEA Papers and Proceedings
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1257/pandp.20251003
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65