Population health is often narrowly assigned to mean “high-risk care” or “care coordination”. While caring for your high-risk patients is a necessary part of your overall strategy to population health management, effective approaches address the entire population.
Resource and time constraints make it difficult to get out ahead of the curve, which leaves many care providers in a reactive state focused on high-risk patients.
With Relias Analytics Population Performance Management, you can see what is driving cost and quality variation across your entire population. Advanced machine learning surfaces relevant data around patients with co-morbidities and automates the identification of the highest-risk patients. Root-cause analysis and risk-adjusted views allow you to prioritize your efforts where you can immediately impact care quality.
Health systems can struggle to identify key drivers affecting costs and patient satisfaction. Relias gives you actionable insights – and identifies evidence-based best practices and learning that can help you address underperforming elements. With a holistic approach to reducing variation in care and quality, Relias helps you remain competitive and deliver better outcomes.
When each member of your team has the resources they need, they can serve the community and optimize returns on value-based contracts.
saved in COPD readmissions
saved in knee replacement ALOS
saved in COPD length of stay