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Health risk assessment
Wearable data provides continuous, real-time insights into an individual's sleep patterns and overall health status, offering a more comprehensive view than traditional methods. By leveraging this data, Thryve can accurately assess health risks on the population level, enhancing preventative care strategies.
Designed for population health screening and wellness monitoring, not diagnostic use.
Sleep-based health risk assessment
This risk assessment translates a commonly underutilized health signal, sleep, into a tangible risk-scoring model. Built on a foundation of large-scale epidemiological research and real-world wearable data, the calculated metric tells 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.
Input Data
Thryve Foundational Sleep Analysis & Health Status Assessment
Output Data
dataDimension
dataTypeId
Name
Description
daily
2251
SleepRelatedMortalityRisk
Elevated mortality risk compared to the standard population in percent (%).
daily
2252
SleepRelatedCardiovascularRisk
Elevated risk of developing cardiovascular disease compared to the standard population in percent (%).
daily
2253
SleepRelatedStrokeRisk
Elevated risk of having a stroke compared to the standard population in percent (%).
daily
2254
SleepRelatedMentalHealthRisk
Elevated risk of developing mental health diseases compared to the standard population in percent (%).
daily
2255
SleepRelatedDementiaRisk
Elevated risk of developing dementia compared to the standard population in percent (%).
daily
2256
SleepRelatedCancerRisk
Elevated risk of developing cancer compared to the standard population in percent (%).
daily
2257
SleepRelatedSickLeavePrediction
Estimated increase in sick leave days compared to the reference population.
daily
2258
SleepRelatedLifeExpectancyImpact
Estimated reduction in life expectancy (years lost) compared to the reference population.
Multi-dimensional Mental Health Risk
Thryve, in collaboration with FU Berlin, has established a validated mental health risk scoring system that assesses depression risk using clinical questionnaires and behavioral health evaluations.
Thryve Mental Health Risk Score implemented in coaching application
By offering a detailed understanding of an individual's mental health risk, this marker allows for the creation of targeted prevention strategies, thereby enhancing early intervention efforts and improving mental wellness outcomes.
Input Data
Activity data
Sleep data
Vital data
4 patient-reported answers to standardized questions
