Patterns of Artificial Intelligence Adoption by Hospitals
Avi Goldfarb B, Xianda (Henry) He, Florenta Teodoridis · AEA Papers and Proceedings · 1 May 2025
Where this sits in the debate
Direction of the finding as read from the abstract by an AI model (AI-written).
Abstract
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.
About this publication
Ranked journal. A peer-reviewed journal in the RePEc ranking of economics journals, below the leading ones.
Placed by: RePEc journal ranking. How sources are ranked.
- Published
- 2025 (18 months ago)
- Citations
- 2 (OpenAlex)
Citations in context
2 citations — 21st percentile among the 33 indexed papers from 2025 in this collection. Citation counts favor older papers; this compares only same-year papers here, not the whole literature.
□ added to this collection in 2026.
author affiliation matches seed institutions university of southern california, university of toronto — part of why this paper is in the collection.
Related by theme, not necessarily by method or conclusion.
- The Effects of Generative AI on High Skilled Work: Evidence from Three Field Experiments with Software Developers
SSRN · 2024 - GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
arXiv · 2023 - Extending “GPTs Are GPTs” to Firms
AEA Papers and Proceedings · 2025 - New Frontiers: The Origins and Content of New Work, 1940–2018
The Quarterly Journal of Economics · 2024
Overview assembled automatically from collected metadata. How this site is built.