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Patterns of Artificial Intelligence Adoption by Hospitals

Author

Listed:
  • Avi Goldfarb
  • Xianda (Henry) He
  • Florenta Teodoridis

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.

Suggested Citation

  • Avi Goldfarb & Xianda (Henry) He & Florenta Teodoridis, 2025. "Patterns of Artificial Intelligence Adoption by Hospitals," AEA Papers and Proceedings, American Economic Association, vol. 115, pages 40-45, May.
    • Handle: RePEc:aea:apandp:v:115:y:2025:p:40-45
    DOI: 10.1257/pandp.20251003
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    More about this item

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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