AI-Driven Risk
Stratification Engine
Predict risk, prioritize rising-risk, and automate prescriptive workflows, empowering care teams to intervene earlier, prevent avoidable utilization, and improve outcomes.
Rising utilization, fragmented data, and workforce shortages make it hard for care teams to spot risk early and intervene before avoidable events occur. Care managers are overwhelmed by low-value alerts, inconsistent data, and manual follow-up that limit their ability to focus on the patients who need them most.
Limited staff capacity delays outreach, misses transition windows, and reduces monitoring for chronically ill and rising-risk patients.
Without predictive insights, care teams rely on scheduled check-ins instead of early detection of deterioration or readmission risk.
Avoidable readmissions and penalties strain financial performance and reduce shared savings.
Key insights live in separate systems, making it difficult to form a complete picture of patient risk.
Lightbeam’s integrated TCM, CCM, and Rising-Risk Management solutions combine real-time data, AI-enabled risk prediction, and automated patient engagement to help organizations intervene earlier, reduce avoidable admissions, and manage patient needs across the continuum of care—at scale.
- Predict & prioritize at-risk patients using real-time clinical, behavioral, & SDOH factors.
- AI-enabled workflows support medication adherence, scheduling, & monitoring.
- Aggregate data for a comprehensive view of clinical, social, and utilization risks.
- Generate savings from avoidable admissions, unnecessary utilization, & readmission penalties
- Accelerate time to intervention with real-time alerts and configurable patient rules.
- Improve cross-team care coordination and reduce manual follow-up workload.
Lightbeam combines the industry’s strongest methodologies into one integrated engine:
Lightbeam turns data into insight and insight into action but automatically transforming manual, reactive risk management into a scalable, automated, AI-powered engine that improves outcomes and reduces cost.
- Real-time, actionable insights at the individual and population level
- Automated prioritization to focus limited resources
- AI-powered workflows that relieve administrative burden
- Intelligent outreach pathways aligned with VBC financial incentives
- Predictive accuracy that identifies 5 of every 32 avoidable admissions (vs. 5 of 600 with traditional analytics)
Reduce Cost and Improve Outcomes
Penn Medicine Princeton Health, a 355-bed hospital and outpatient practices in Plainsboro, NJ, deployed Lightbeam’s Platform to identify cost drivers, care manage targeted groups, and close gaps in care.
They experienced 15% reduction in inpatient admission rates and a 6% reduction in readmission rates, with a 4% reduction in inpatient spend for the MSSP program and in overall spend for patients insured with Horizon BCBS of New Jersey.
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