The Verinovum Blog
Healthcare Data Insights
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By simplifying risk management, clean data saves money and improves care quality
As healthcare transforms, payers will increasingly incentivize providers to share health records for quality data reporting and to collect clinical data to improve population health, care management, and risk adjustment.
How more complete, accurate clinical data can improve benefit design
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 Cures Act conundrum — turning expanded data sharing into more effective data usage
The 21st Century Cures Act was designed to give consumers greater access to their own clinical data and further advance interoperability. Yet, while these two goals are laudable, the Act does not make it any easier to get meaningful insights from payer data. This is because so much of the growing mountain of ingested data is unusable that it must be curated and enriched before it can yield anything of value.
On-Demand Webinar: Simplifying Your Quality-of-Care Equation
In this 45-minute webinar, Verinovum’s Chief Medical Information Officer Mureen Allen, MD, MS, MA, FACP and Envision Health’s Senior Science Writer Jill Pritts discuss the data curation strategies that can be applied to your organization’s quality-of-care equation and enable you to be compliant and achieve your Quadruple Aim goals.
Early Bird Catches the Worm: High-Quality Clinical Data Leads to Successful Care Intervention
Incomplete, inaccurate, or delayed data analyses can all negatively impact clinical decision-making, case management, and disease management interventions. Payers looking to identify gaps in care often utilize claims data that can take many months to receive face challenges obtaining accurate high-quality clinical data from their contracted providers. Data curation services, which acquire, standardize, and normalize clinical data, can present health plans with a complete picture of member encounters.
Link Between Obesity and Kidney Disease Calls for Urgent Outreach
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.
Successful Precision Medicine Hinges on High Quality 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.
The Predicament: Quality Insights from Less Than Quality Data
The volume of available data is high, as are the many systems that store and process that data. Despite the quantity and a plethora of IT tools, organizations are faced with the “now what?” dilemma. There is a growing realization that the answer is not simply more data; rather, ensuring that existing data is accurate, complete, and accessible.
Garbage In, Garbage Out: The High Cost of Managing Healthcare Data Quality
The “garbage in, garbage out” dynamic increases labor and software costs to fix missing, duplicative, or inaccurate data, since poor quality data can hinder decision making.