Insurance & wellness programs
Preventive mobility intelligence across a covered population.
For insurance and wellness programs, GaitAI can combine WatchCare wearable trends, FallRisk stratification and SeniorCare screening to run preventive mobility programs across members or cohorts.
The operational problem
Preventive-health programs need ongoing mobility intelligence — not annual screenings.
Why current workflows fall short
Annual screenings can't see mobility change as it happens; preventive programs need ongoing, low-friction signals rather than yearly snapshots.
Recommended GaitAI product mix
Continuous movement intelligence from the wrist.
Combines smartwatch, mobile and wearable sensor data to estimate daily mobility and activity patterns, gait variability and longitudinal fall-risk indicators for clinician, caregiver or remote-care review.
Surface mobility decline and fall-risk indicators early.
Uses gait, balance, variability, posture and longitudinal movement trends to sort elderly and at-risk patients into low / medium / high screening categories for clinician review.
Monthly mobility, frailty trends, caregiver summaries.
Runs periodic mobility assessments for senior citizens and surfaces longitudinal mobility changes and decline indicators for caregiver or clinician review.
Example workflow
- 01Members enrol with consent
- 02Wearable trends accumulate passively
- 03Periodic assessments for higher-risk cohorts
- 04Risk shifts trigger wellness outreach
- 05Cohort-level trends inform program design
Expected operational outputs
Preventive mobility trend across individuals or cohorts.
Privacy & responsible use
Designed to support consent-based capture, encrypted transfer, configurable retention and role-based access, with activity logging and skeleton-only processing modes. Deployment requirements depend on the applicable environment, organization and jurisdiction. Privacy-aware architecture does not automatically mean anonymity: pose, gait and trajectories may still carry identifying information. GaitAI outputs are AI-generated movement metrics intended as decision support — they do not diagnose medical conditions and do not replace clinical judgement. Insurance and wellness workflows are not for automated underwriting, eligibility, coverage or premium decisions. Any such use requires separate explicit governance and a documented legal basis; the published evidence does not establish support for those decisions.