Realizing the promise of big data in healthcare rests on the ability to effectively distill meaning from traditionally fractured, in-consumable data sources. It is only with fair and trusted performance benchmarking that provider organizations and health plans will truly move the needle in achieving their goals for cost and quality optimization.
To address the challenges of incumbent models, Clarify created a differentiated approach to provider performance benchmarking that takes into account case mix, including the SDoH factors impacting patients on each physician’s panel.
Download our white paper on the future of provider benchmarking to learn more.
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Fair, transparent provider benchmarking
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Precise modeling using machine learning
Instead of cohort-based approaches, we use generalized linear models which look at each individual provider’s panel and the values associated with their unique patients.
Dynamic benchmarking and custom care groupings
Because of the speed and precision of our machine learning platform, Clarify allows for flexible interrogation and drill-down within any category, including the ability to change the comparator dataset on the fly.
Inclusion of comprehensive case-mix / severity-adjustment factors
These include demographics, clinical diagnoses and SDoH drawn from the largest patient-level dataset on the market.
Not a black box
Clarify’s transparent benchmarking methodology produces the industry’s most trusted insights for designing and managing value based contracts.
Awards and recognition
Clarify's benchmarking differentiators
Clarify Health is an enterprise analytics company that empowers payers, providers, and life sciences companies to deliver better care, therapies, and outcomes with actionable patient journey insights. Clarify’s cloud-based business applications are built on the Clarify Atlas Platform, which maps 300M+ patient journeys to deliver 18B+ AI-powered predictions and surface insights with speed and precision.