Patterns of Artificial Intelligence Adoption by Hospitals

Avi Goldfarb, Xianda (Henry) He and Florenta Teodoridis

AEA Papers and Proceedings, 2025, vol. 115, 40-45

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.

JEL-codes: C45 I11 M15 O32 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1257/pandp.20251003

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