In this whitepaper, we look at the value of clinical data curation and enrichment in terms of ensuring compliance with regulatory and certification requirements, negotiating value-based care contracts, and supporting healthcare’s new Quadruple Aim.
The demand for accurate and timely insights from a fractured and siloed health ecosystem, spanning payer, provider, and healthcare organization information infrastructures, has never been greater. New technologies and innovations have proven to be a burden on the healthcare system, including new payment models where patient outcomes are being rewarded more than the quantity of services provided. Learn more from this white paper about what you can do to solve the problem.
Transforming raw data into actionable insights is essential for Fast healthcare Interoperability Resources (FHIR) standards and improving HEDIS scores. Learn more from this roadmap on how to achieve scalable efficiencies for managing clinical data at the enterprise level. The strategic value of clinical data is growing significantly for payers, but finding the right types of clinical data and gaining access to it remain challenges in the current healthcare ecosystem.
Verinovum, Inc. recently utilized marketing partner Envision Health to execute a third-party market research study of Medicare Advantage (MA) programs in seven payer organizations of varying sizes and demographics. The goal of the study was to better understand the role and structure of MA programs within different kinds of payer organizations and how these payers and programs obtain and use clinical data for their most pressing needs.
Managing disparate clinical data can be a challenge for even the most robust health system. Due to the complexity [...]
Verinovum is now offering free data assessments to help payers analyze the quality and completeness of their patient clinical data necessary to identify and provide care [...]
As value-based care takes hold, health plans and providers must collaborate more closely than ever to improve transparency and [...]
Even in well-supported and well-managed projects, extremely poor data quality has stubbornly remained unresolved and today threatens the credibility [...]