Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
RAND Hospital Data is a specialized data service from RAND Corporation designed to turn publicly available CMS hospital cost report data into easier-to-use panel datasets. The raw CMS/HCRIS data has several pain points: it is split by year, contains a huge number of fields, uses variable names based on form locations, comes in very large files, and is not documented with research users in mind. By cleaning, standardizing, and deriving indicators, the service reduces the upfront data engineering burden for hospital finance and health policy research.
The product covers hospitals in the United States and Puerto Rico that are required to submit CMS hospital cost reports, with data from 1996 to the present and quarterly updates. Subscribers can download panel data at the hospital, county, CBSA, state, and national levels; choose calendar year, federal fiscal year, or hospital fiscal year views; and select outlier-adjusted or unadjusted versions. The dataset includes around 1,500 raw variables and about 400 derived variables, such as operating margin, occupancy rate, and cost-to-charge ratio. CSV, Stata, and SAS formats are researcher-friendly, and the variable naming and documentation are clearly more suitable for analysis than the original CMS files.
Registered users can access a limited sample dataset for free, covering the most recent year, about 100 variables, and automatic outlier adjustment. A full subscription costs $499/year and provides access to panel data from 1996 to the present, around 1,900 variables, and customized download options. The website clearly states that there are currently no student, government, or nonprofit discounts, and it does not support purchasing only a small subset of variables. Users with tight budgets or those who need only a few fields should take this into account.
The main advantage is that it saves a significant amount of work in data cleaning, merging, variable identification, and time standardization, making it especially useful for longitudinal studies and cross-region comparisons. Its documentation, derived indicators, and outlier handling also improve usability. The limitations are that it is not a complete set of all CMS fields, covers only hospital cost reports, and full annual data is subject to a lag of around 18 months. From a SaaS or enterprise software perspective, the available materials do not indicate team collaboration, access control, API, online visualization, security certifications, or enterprise integration capabilities; it is closer to a professional data download subscription.
It is suitable for researchers in health economics, hospital finance, healthcare policy, and regional healthcare markets, as well as universities, think tanks, government agencies, and nonprofits that need long-term financial data on U.S. hospitals. Access status for users in China cannot be determined from the available information, and payment methods are not disclosed. If network access or payment is restricted, alternatives include the original CMS HCRIS data, CMS Roll-up, and NBER Cost Report Files, though these will require more processing work. For research on Chinese hospitals, this product is not a suitable substitute for local data.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on hospitaldatasets.org official site.
hospitaldatasets.org is an United States SaaS provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach hospitaldatasets.org directly.