Lightbeam’s prescriptive artificial intelligence solution, Jvion, helps providers and payers identify the individuals at-risk for avoidable utilization events, such as avoidable admissions, readmissions, or emergency department visits. Better still, Jvion provides targeted, patient-specific guidance to drive improved, equitable healthcare outcomes.
Jvion AI goes beyond traditional predictive analytics by identifying hidden patient risk across various diseases and clinical events.
If that risk trajectory can be rerouted toward a positive outcome, Jvion’s prescriptive AI and clinically validated recommendations tell you how.
Armed with this intelligence, healthcare organizations see improvements in all areas that make up the IHI’s Quintuple Aim initiatives:
Insights that accurately predict 5 out of 32 avoidable admissions versus 5 out of 600,
Jvion assesses patient data across:
Jvion’s advanced AI models identify individual patients and populations who are at-risk using more than 4,500 clinical and social determinants risk factors.
Through its granularity and ability to contextualize thousands of datapoints, Jvion determines the drivers of risk across clinical factors, social vulnerabilities, and more.
Once Jvion understands which patients are at risk and why, the solution provides prescriptive insight into the most effective interventions to mitigate risk.
Reduction in Readmissions
in Avoided Readmissions Savings
Savings in Avoided
Increase in Hospice and
Palliative Care Referrals
More Granular than SVI
Clinical and SDoH
Measuring risk plays a key role in solving healthcare’s greatest challenges. Lightbeam’s multi-tiered approach to risk assessment provides the most diverse options to suit any clinical, cost, or health equity need.
Analyzes clinical, socioeconomic, environmental, and behavioral data to find hidden health and financial risks, drive plans for action, and provide patient-specific intervention recommendations
Integrates advanced risk stratification methods that cover decades of research to assess populations, including Johns Hopkins ACG System®, NYU Avoidable ED, and Charlson Comorbidity Index
Aggregates and normalizes clinical, claims, and socioeconomic data to create populations, identify cohorts, design care plans, and measure results
Identifies opportunities to improve HCC coding accuracy that is sustained by advanced data surveillance
Connect with a Lightbeam professional to find out how our solutions can help accelerate your value-based care performance.