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

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.

Authors

Institutions

Publication Details

Journal
Health Affairs Scholar
Published
2026-09-25
DOI
https://doi.org/10.1093/haschl/qxag261
Primary Topic
Private Equity and Venture Capital
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

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

Daniel R. Arnold, Rocco Friebel, Yashaswini Singh, Jonathan Cantor et al.
Health Affairs Scholar
Private Equity and Venture Capital
article

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

Daniel R. Arnold, Rocco Friebel, Yashaswini Singh, Jonathan Cantor, Michael Anderson
article en

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.

Health Affairs Scholar
RAND Corporation (US), RAND School of Public Policy (US), City University of New York (US), Brown University (US), Manchester Academic Health Science Centre (GB), Primary Health Care (QA), Department of Health Services (NP), Columbia University (US), London School of Economics and Political Science (GB)
Partnerships for the goals
Openalex Percentile: Top 4%
Private Equity and Venture Capital
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.