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The Six Essential Attributes for Actionable Clinical Data
Want to know if your clinical data is high quality and fit for purpose? Examine it for these six attributes.
Data Quality Trending at Spring Conferences
Throughout the spring, our team has gained valuable insights and knowledge about data quality we're excited to apply and share with our partners.
The Real Cost of CMS Star Ratings
Medicare Advantage (MA) plans are dealing with some notable setbacks and losses in projected earnings per share because of falling Star Ratings.
Why You Should Take Heed of HEDIS
Already used by more than 90% of US health plans, HEDIS® measures will only grow in significance as value-based care and population health programs gain momentum.
Data Curation: Providing Shelter from the FHIR-Storm
In this whitepaper, we look at potential solutions to improve interoperability and clinical data quality while considering the pitfalls of implementation and the inevitable tradeoffs between costs and outcomes.
Accelerating ROI for Clinical Data Tech: When a Member’s Health is on the Line
Realization of technology investments is critical for improving STAR ratings and HEDIS® measures in a timely manner and for producing the outcome and performance measures required in value-based care contracts.
Interoperability without Data Quality: A FHIR Storm
In this whitepaper, we examine the current landscape of healthcare and the key challenges healthcare organizations confront with cost-effectively collecting quality patient information and sharing it between stakeholders.
Overcoming the Barriers of Value-Based Care Adoption
Over a decade of programs championed by the Center for Medicare and Medicaid Innovation, focusing on accountable care and bundled payments, have had some notable successes. Private value-based care arrangements, structured by health plans and state Medicaid departments have had some significant achievements.
Improve Performance Measures with Tips from an NCQA Expert
Watch former NCQA executive vice president Michael Barr discuss the challenges of obtaining quality data and how to fill the EHR data gaps.