Population Health Analytics and Management - Four Best Practices
What is population health analytics?
Population health analytics is using data to enable healthcare providers to make informed management and strategy decisions based on data analytics.
How can healthcare organizations use analytics to improve population health management?
Healthcare reform is fueling the shift away from fee-for-service models toward pay-for-performance, value-based care paradigms. And in order for healthcare organizations to successfully transition, there is an acute need for actionable analysis of data from individual patients and populations.
Physicians, providers and payers all need access to better data insights in order to improve clinical, financial, and operational outcomes beyond incremental change.
The expansion of Accountable Care Organizations (ACOs), focused on population health management (PHM), are driving the need for population analytics. Accountable Care Organizations, according to the Centers for Medicare and Medicaid Services (CMS), are groups of doctors, hospitals, and other healthcare providers who work collaboratively and accept collective accountability for the cost and quality of care delivered to their patients.
If your organization is looking to embrace the new value-based care model and integrate population health management into process, work culture and technology systems, you must start with data.
In this whitepaper, you’ll learn how to:
- Enable healthcare workers to ask and answer their own questions with data
- Measure population health with segmented data
- Use data visualizations to coordinate care across the continuum
- Track and understand population and individual risk
- Proactively manage patient relationships
