Health Equity, Value-Based Care Major Themes at AHIP 2023
Whether the topic was uncovering bias and inequity or transitioning to value-based care, quality data was integral to the themes that dominated AHIP 2023.
Whether the topic was uncovering bias and inequity or transitioning to value-based care, quality data was integral to the themes that dominated AHIP 2023.
Want to know if your clinical data is high quality and fit for purpose? Examine it for these six attributes.
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.
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.
Many facets of healthcare remain in a state of flux at the close of 2022. Verinovum’s SWAT (Strategic Workforce and Tactics) team has been closely following these trends and has made predictions about how nine of them might play out in 2023.
The midterm election cycle has come and gone. A divided government means that it is highly unlikely that Congress, and specifically the House, will pass any monumental policies that would face defeat in the senate or a veto from the Executive Branch. What does this mean for healthcare and health policy in 2023?
Each year, the Verinovum team makes predictions about what the new year will bring for healthcare, and 2022 proved to be another eventful year. So, how’d we do in our New Truths of 2022 predictions?
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.
As of 2019, employer-sponsored health plans covered nearly 155 million Americans. No matter how costs trend for employers in the future, it’s clear that providing the right benefits for employees will only become more challenging. As benefit design for enrollment planning is finalized, these statistics point to a critical need for payers to ensure that self-and fully-insured employers have accurate healthcare analytics derived from highest-quality healthcare data.
The promise of precision medicine is growing as fast as the volumes of data required for its application. Precision medicine structures a person’s disease prevention and treatment in relation to their genomics, environment, and lifestyle.