Private Equity Ownership and Artificial Intelligence Adoption by Hospitals in the United States

Clicks: 45
ID: 329752
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #8 of 168 articles by views in Health Affairs Scholar

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 168 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Introduction Private equity (PE) firms own a growing share of United States hospitals and claim that capital infusions support technology investment. We examined the association between PE hospital ownership and the likelihood of artificial intelligence (AI) technology adoption. Methods We linked the 2024 American Hospital Association Annual Survey to a database of PE acquisitions and exits. Mixed-effects logistic models estimated any, clinical, and operational AI adoption by hospital ownership type, adjusting for hospital and market characteristics. In secondary analyses, we examined challenges to AI implementation. Results PE-owned hospitals had higher adjusted adoption of any AI (difference, 24.5 percentage points; 95% confidence interval, 11.2 to 37.8) and clinical AI (difference, 27.5 percentage points; 95% confidence interval, 14.0 to 41.1) than other for-profit hospitals but did not differ from not-for-profit hospitals. Operational adoption did not differ by ownership. In secondary analyses, not-for-profit hospitals reported any, cost and resource, and regulatory and safety challenges more often than PE-owned hospitals; PE-owned hospitals reported staff-training challenges more often than other for-profit hospitals. Conclusion PE-owned and not-for-profit hospitals had similar adoption of any and clinical AI, and both exceeded other for-profit hospitals, consistent with a capital access advantage that does not extend to the broader for-profit sector.
Reference Key
openalex_W7214320679 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rocco Friebel, Daniel R. Arnold, Michael Anderson, Jonathan Cantor, Yashaswini Singh
Are you one of these authors? Claim your profile
Journal Health Affairs Scholar
Year 2026
DOI
10.1093/haschl/qxag261
URL
https://doi.org/10.1093/haschl/qxag261
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.