Identify opportunities for improvement and differentiation by comparing your hospital’s volume, operational, financial, and quality performance against similar hospitals.

Create custom cohorts based on hospital characteristics to ensure like-to-like comparisons with similar hospitals. The tool features over 210 metrics organized into three different categories. It shows how your hospital compares to others in your cohort based on a decile distribution.

The tool also features a more granular comparison at the service line and MS-DRG level. Users can adjust the time frame to see performance over time.

The tool is designed for hospital executives, planners, analysts, and finance leaders. These users can apply this tool to search for areas of improvement by comparing other hospitals’ metrics to their selected hospitals.

The Hospital Benchmark Generator creates benchmarks based on up-to-date Medicare data on an array of financial, operational, quality, and utilization metrics. Use the tool to compare your hospital to custom cohorts. Alternatively, use filters for region, urban or rural, teaching status, bed size, and more to generate cohorts of similar facilities. These custom-designed cohorts will then reflect the data in the tool, which will provide granular data. Choose a time frame by selecting a year or the rolling 12-month filter in the dropdown menu. Your selected provider will be highlighted with a red bar.

Most metrics allow for comparison at the total volume, service line, subservice line, and MS-DRG level to enable detailed analyses.

The tool is updated quarterly with data from CMS’ Standard Analytical Files, CMS Hospital Cost Reports, and CMS Hospital Compare. Time frames will differ depending on metric and data source. For example, CMS Hospital Compare metrics are updated quarterly and typically display data from a time frame 2 to 3 quarters behind the present time. Data sourced from CMS Hospital Cost Reports are updated twice a year. Click the icon beside a metric to view the specific time frame details.

We have applied our proprietary service line grouping methodology and conducted analyses to generate the most relevant and important metrics, except for those metrics that are reported directly from CMS datasets. Click the icon beside a metric to view the specific details.