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Updated: Apr 21, 2026
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
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A practitioner's guide to using data on private equity hospital acquisitions.
Sungil Kim1, Mark Naslund2, Xingzhi Wang2
1Duke University, Fuqua School of Business, Durham, NC 27708, United States.
Health Affairs Scholar
|April 20, 2026
Summary
Creating a comprehensive dataset of private equity (PE) hospital deals in the US is crucial. Integrating multiple databases and verifying data ensures accurate research on PE ownership in healthcare.
Area of Science:
- Health economics
- Healthcare management
- Health services research
Background:
- Private equity (PE) investment in US hospitals is increasing.
- Empirical research is limited by fragmented and inconsistent transaction data.
- A comprehensive and validated dataset is needed for accurate analysis.
Purpose of the Study:
- To construct a comprehensive and validated dataset of PE ownership of US hospitals.
- To provide a practical guide for using these data in research.
- To improve the accuracy and transparency of research on PE in the hospital sector.
Main Methods:
- Integrated 6 commercial deal databases (2000-2024).
- Filtered for PE-related hospital deals, matched to AHA and CMS identifiers.
- Manually verified matches, reconciled duplicates, and verified deal/exit dates.
Main Results:
- Identified 141 unique PE deals involving 555 hospitals (721 observations).
- Databases varied significantly in coverage, deal type, and reporting level.
- Manual verification was essential due to inconsistencies and system-level deals.
Conclusions:
- Accurate study of PE ownership requires multisource data construction and validation.
- A harmonized dataset and workflow enhance research accuracy, transparency, and replicability.
- This infrastructure supports better understanding of PE's role in US hospitals.
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