How UC Irvine Uses Data Segmentation and Community Health Assessments for Better Patient Insights
Today’s healthcare ecosystems demand a holistic view of patients. The need to understand specific conditions treated versus not treated, and which social determinants influence patient health is essential for quality patient care.
The Center for Disease Control (CDC) identifies and recommends analyzing population health (PHM) by segmenting patient data across 42 specific metrics in order to depict an accurate blueprint of the population or community being served.
Insights from segmented data can help drive a pragmatic PHM strategy to deliver the highest quality of care at the lowest cost, while still managing risk.
In this webinar, the University of California Irvine Medical Center (UCI) showcases their fast deployment of Tableau and CentraForce Health to enable population health segmentation and community health assessments.
In this webinar, learn about:
- Managing risk and strategically growing market share
- Analytical approaches to population health segmentation and community health assessments
- Empowering executives, care managers, physicians and nurses with patient and population health data insights