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Value-based care providers face mounting pressure to deliver better outcomes while lowering costs. But with limited time, staffing and resources, how can providers identify which patients need the most attention—and what interventions will make the greatest impact?
This webinar explores how VBC providers can combine AI-driven predictive analytics with personalized digital care pathways in the Calcium Health Platform to transform population health management at scale.
Attendees will learn how to harness comprehensive data – including claims, longitudinal EHRs, real-time health information from EHRs, medical devices, wearables, and patient-reported outcomes in the Calcium Super App—to identify rising-risk patients earlier, triage care team attention, assign AI-guided interventions based on clinical risk across entire populations and prioritize care delivery where it’s needed most.
We will demonstrate how AI tools integrated into the Calcium Core dashboard and AI Studio help generate predictive models that flag individuals most at risk for complications, readmissions, or disease progression. You will also see how personalized, AI-guided care pathways can be assigned to these high-risk patients—automating tailored interventions and health education at scale.
Key takeaways include:
- How predictive analytics identifies high-risk patients before issues escalate.
- How AI-generated pathways drive adherence, education, and outcomes.
- How real-time health tracking and alerts reduce avoidable hospitalizations.
- How providers can use Calcium to improve performance on VBC contracts and risk-sharing models.