physician compensation software

WellStar Health Partners with SullivanCotter to Align and Engage Physicians with Transparent Compensation and Performance Data for Large Multispecialty Medical Group

Developed in cooperation with Mayo Clinic, Provider Performance Management Technology™ is an industry-first, cloud-based solution that enables provider engagement and alignment through transparent performance-based compensation administration and analytical capabilities.


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Modern Healthcare | New CMS Star Ratings Ignore Socio-Economic Factors

SullivanCotter helps to analyze how the inconsistent application of peer groups between CMS’s new star ratings and the Hospital Readmissions Reduction Program are creating sizable discrepancies in reported performance.


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INFOGRAPHIC | 2018 Physician Compensation and Productivity Survey

View highlights from SullivanCotter's 2018 Physician Compensation and Productivity Survey, featuring data from nearly 750 organizations covers more than 167,000 individual physicians and advanced practice providers.


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Q&A | What Comes After Physician Compensation Design?

SullivanCotter experts Dr. Mark Rumans, Chief Medical Officer, and Courtney Dutton, Principal, recently answered questions on physician compensation design and implementation - helping to uncover emerging trends and address some of the challenges health care organizations are facing today.


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CMS Star Ratings Highlight Need to Compare Performance by Hospital Type

The Centers for Medicare and Medicaid Services (CMS) recently published its newest Star Ratings, designed to measure and report hospital quality. These ratings have provoked a number of questions and concerns as more than 3,600 hospitals - regardless of size, breadth of services, or geographic location - are benchmarked against a collective average.


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Using CMS Star Ratings to Drive Improvement at Specialty Hospitals

Using national benchmarks like the CMS Star Ratings can be a great way for specialty hospitals to help drive quality improvement, but only if they understand the nuances and complexities in the data and how to best analyze it.


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