Thryve combines wearable data, smartphone signals, lab results, EHR data, and claims into a single unified view of your population's health. Our algorithms surface early warning signals for non-communicable diseases, rehospitalization risk, and deteriorating treatment pathways, often weeks before a clinical event occurs.
Once a risk is identified, Thryve generates targeted recommendations for your care management teams. Steer high-risk sub-segments into prevention programs, adjust underwriting dynamically, and help members set personalized behavioral health goals, all with minimal administrative burden.
Thryve doesn't just flag risk. With us, you can track how interventions at different time windows affect downstream clinical outcomes, claims trajectories, and loss ratios. Turn prevention into a measurable business case.
By focusing on measurable reductions in individual health risk rather than generic activity targets, Thryve helps you engage more members, reduce churn, and keep your book of business out of patienthood for longer.
Wearable and medical device data, smartphone data, treatment records, claims data, and laboratory results all feed into one unified platform.
Thryve processes data in real time with under 2 seconds processing time, over 10,000 data mappings, and 99.999% uptime, all in one standardized format.
Detect suboptimal sleep, activity, and vitals patterns; early signs of non-communicable diseases; rehospitalization risk; and deviations from treatment guidelines.
From population overviews and timeseries to subsegment benchmarks and early warning alerts, every view is designed to help your teams act faster and prove impact clearly.
One API to access real-time and historical health data from the devices and apps your users already rely on. Thryve handles the complexity of integration so your engineering team can focus on building what matters.
