Introducing Thryve’s Sleep-Based Health Risk Assessment

At Thryve, we believe prevention begins with better measurement. Our latest innovation translates one of the most underutilized health signals, sleep behavior, into a tangible risk-scoring model. Built on a foundation of large-scale epidemiological research and real-world wearable data, this new capability helps insurers, and healthcare providers detect elevated health risks earlier and more precisely in their populations.

Why sleep? Because it's not just about hours in bed. Factors like sleep regularity, timing, and variability tell a deeper story about your user's metabolic, cardiovascular, cognitive, and emotional resilience. Our models take these patterns and calculate individualized risk levels for a variety of health outcomes, from all-cause mortality to mental health to cardiovascular disease.

What the Sleep Health Risk Model Measures

The new model builds on the data points calculated by the Thryve Sleep Evaluation. While we do not disclose the specific metrics publicly, the model uses a set of validated sleep-related variables to assess overall health risk. These metrics are processed using research-backed formulas to provide clear and actionable insights.

These sleep metrics are analyzed using formulas developed from leading health research, producing clear and actionable insights:

1. All-Cause Mortality Risk

All-cause mortality is a key metric in health risk modeling, including the overall probability of dying from any cause. It reflects cumulative health burdens and systemic resilience. Understanding this risk helps insurers and care providers focus on prevention strategies that improve lifespan and quality of life.

2. Cardiovascular Disease Risk

Cardiovascular disease remains one of the leading causes of death globally, placing immense financial and resource strain on healthcare systems. Prevention through early identification of risk indicators, like those derived from sleep behavior, can significantly lower both treatment costs and care complexity over time.

3. Mental Health Risk

Mental health disorders are on the rise and carry high economic and societal costs. Early detection and proactive support are critical. Modeling mental health risk based on behavioral trends allows insurers and digital health platforms to deploy targeted interventions, ultimately reducing absenteeism, disability claims, and care costs.

4. Other Conditions: Sick Leave, Dementia, Stroke, and Cancer

Conditions like dementia, stroke, and some cancers significantly reduce life quality and increase long-term care demands. These illnesses also lead to rising costs for employers and insurers due to extended sick leave and specialized care needs. Proactive models that estimate related risk levels help shift the system toward earlier, more cost-effective intervention.

Calculating Increased Risk Against The Demographic Baseline

Thryve’s risk scoring models evaluate how an individual’s sleep patterns deviate from population norms across various health risk dimensions. The resulting metric reflects the relative risk increase, indicating how much more likely a person is to develop conditions such as cardiovascular disease, stroke, dementia, cancer, or mental health disorders compared to the average risk in a matched reference population.

For example, a 40% increased risk means that, based on their sleep profile, the individual is 40% more likely to develop a specific condition than peers with ordinary sleep patterns.

This approach enables precise population segmentation and supports targeted lifestyle interventions or clinical follow-up - particularly valuable in preventive care and early risk identification.

‍

Built for Integration, Designed for Action

Previously, we have already covered the common mistakes of sleep tracking via wearables. Nevertheless, Thryve’s sleep health risk model is fully embedded into our API, making it easier than ever to deliver continuous risk insights inside your app or platform. Here's what it enables:

• Effortless integration with wearable and phone-based data to passively assess health risk in the background.
• Real-time scoring at both the user and population level, allowing for dynamic risk stratification across multiple conditions.
• Visual dashboards and alerts for insurers, care managers, and health coaches to take action based on evolving health trends.
• Customizable triggers that can initiate nudges, recommend follow-up assessments, or escalate to clinical support.

You can plug this model directly into existing onboarding flows, preventive care journeys, or claims analysis pipelines, with just one API call.

Why It Matters for Payors and Providers

Traditional risk models tend to depend heavily on claims data and user-reported information, which often reflect outdated or incomplete health insights. Thryve’s sleep health risk model offers a real-time alternative, showing how everyday sleep behavior is linked to critical health outcomes. This shift empowers both insurers and digital health platforms to act earlier, more precisely, and more cost-effectively.

For Insurers:

• Proactive intervention: Identify rising health risks and intervene early, before they escalate into costly chronic conditions.
• Smarter segmentation: Classify populations more accurately based on sleep-driven risk indicators, helping tailor prevention and care efforts.
• Lower long-term costs: By targeting high-risk individuals with preventive care, payors can reduce claims associated with avoidable illness.

For Digital Health Platforms:

• Personalized care pathways: Adapt coaching and treatment plans to match a user’s current sleep-driven risk profile.
• Clear performance indicators: Use sleep metrics to measure user progress and the impact of behavioral interventions.
• Stronger user retention: Deliver relevant, data-backed feedback that strengthens user trust and long-term app engagement.

Sleep is one of the most powerful predictors of future health, and now, it’s finally measurable at scale. With Thryve’s new health risk model, you can shift from monitoring symptoms to predicting them.

How Thryve Powers Sleep-Based Risk Insights

Thryve is Europe’s leading platform for harmonized wearable health data, offering a secure and developer-friendly infrastructure to turn continuous sensor inputs into clinical-grade insights. We offer:

• Seamless Integration with +500 data sources: Connect to a wide range of devices and medical sensors, including Apple, Fitbit, Garmin, and more, with one standardized API.
• Harmonized Data Models: Harmonize metrics from different sources (activity, sleep, HRV) into a single, actionable format.
• Secure Infrastructure: Ensure GDPR-compliant, encrypted, and privacy-first data management.

Thryve’s API enables digital health companies and insurers to act on rich behavioral data without the burden of building their own infrastructure. Whether you’re launching a preventive care program or refining your underwriting models, Thryve delivers the tools to make sleep-based health scoring actionable from day one.

Are you ready to try out our new health risk assessment?
Book a demo with Thryve!