Learn: Population Health
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Webinar
September 7, 2022
Predictive Risk Stratification: Using Analytics to Empower Change with Actionable Workflows
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Data-Informed MIPS Improvement Efforts Drive Improved Quality Scores and Increased Revenue
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Remote Monitoring and Digital Patient Engagement Improves Blood Pressure Control
Featured Content
On-Demand Webinar
Unprecedented Patient-Visit Care Continuity: Introducing Health Catalyst Embedded Care Gaps™
Health Catalyst Embedded Care GapsTM is a fully EMR-embedded patient-visit solution combined with a world-class rules engine. Care Gaps increases revenue by performing more needed procedures, decreases costs by streamlining visits, and improves quality by improving adherence capacity. With Embedded Care Gaps, healthcare organizations can easily integrate into a system’s EHR, close gaps in patient care, and maximize every patient’s visit.
Success Story
AI-Enabled Care Management Reduces Healthcare Spending by $32.2M
Almost four trillion dollars is spent on healthcare each year in the U.S., with most expenditures going to patients with chronic health conditions due to unnecessary visits to the emergency department (ED) and unplanned hospital admissions. UnityPoint Health sought to reduce costs by identifying patients with chronic health conditions at a higher risk for overutilizing healthcare services. By leveraging its analytics platform and augmented intelligence (AI), UnityPoint Health has been able to efficiently identify patients that could benefit from enrollment in its care management program.
Success Story
Predictive Analytics and Care Management Reduces COVID-19 Hospitalization Rates Avoiding Nearly $2M in Costs
For people 65 years of age and older, COVID-19 hospitalization rates in the U.S. have been as high as 1,245.7 per 100,000 population, straining the resources and capacity of health systems. ChristianaCare needed to effectively deploy its care management resources, identifying patients with COVID-19 who were most at risk of severe illness and hospitalization. By leveraging its analytics platform and the predictive power of the Healthcare.AI™ solution to provide COVID-19 risk prediction, the organization was able to provide targeted interventions to those most likely to benefit and help patients avoid unnecessary hospitalization.
Insights
Understanding Population Health Management: A Diabetes Example
Diabetes is one of several chronic health conditions at the root of U.S. healthcare challenges. To improve the quality of care and costs associated with diabetes, health systems, clinicians, and patients can benefit from taking a data-centric approach to diabetes management and leveraging population health tools.
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