Physical therapy clinicians cannot reliably verify whether patients are actually performing their prescribed home exercises, and existing apps like Physitrack focus on exercise delivery rather than objective compliance verification.
Current home exercise platforms deliver exercise programs but lack objective, tamper-proof methods to confirm patients actually performed the exercises, making it hard to hold patients accountable and adjust treatment based on real adherence data.
Workarounds Described
- tasks a student to write an innovation proposal but struggles with feasibility and differentiation
Implied Software Gaps
- Objective home exercise compliance verification with automated exercise recognition and adherence tracking
MoveProof PT
MoveProof PT is an AI-powered patient compliance verification platform that uses smartphone motion sensors or optional wearables to automatically detect, count, and assess the quality of home exercise sessions. Unlike exercise libraries, it provides clinicians with objective adherence data and flags potential non-compliance or improper form, enabling data-driven treatment adjustments.
- Automatic exercise detection and repetition counting via smartphone inertial sensors or wearable integration
- Real-time form feedback and quality scoring for patients
- Clinician dashboard with adherence trends, compliance scores, and alerts for at-risk patients
- Tamper-proof session logging using motion biometrics to minimize falsified activity
Existing Solutions Mentioned
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