RehabSync AI
RehabSync AI is an innovative solution that redefines physical rehabilitation by harnessing artificial intelligence to optimize recovery. Built with the MeldRx API, it syncs real-time rehab data, predicts progress, and personalizes therapy plans—empowering patients and providers to achieve better outcomes, faster.
Inspiration
Rehabilitation often feels like a one-size-fits-all process: patients follow generic plans, progress goes untracked, and setbacks surprise everyone. We were inspired by the idea of using AI to make rehab proactive—spotting patterns in patient data to tailor recovery and prevent delays, turning a reactive system into a predictive powerhouse.
What it does
RehabSync AI leverages cutting-edge AI to:
- Sync real-time patient rehab data via the MeldRx API.
- Analyze therapy progress and physical metrics for subtle trends.
- Predict recovery timelines and potential setbacks.
- Generate personalized therapy adjustments based on individual needs.
- Alert providers to at-risk patients needing intervention.
- Track outcomes to refine recommendations over time.
Frameworks:
- TensorFlow: Used to train and deploy lightweight ML models for predicting rehab progress.
- Flask: Powers the backend, handling API requests and data syncing.
Platforms:
- MeldRx API: The backbone for real-time rehab data (rt_sienahealthventuresllcphysicalrehabilitationnetworkprn), built on FHIR standards.
- Google Cloud: Hosts the app and models, enabling scalable processing.
Databases:
SQLite: Lightweight storage for demo data and user profiles during the hackathon.
APIs:
FHIR API: Integrates MeldRx’s rehab data into our system seamlessly.
Other Technologies:
- React Native: Crafts the cross-platform app interface for quick prototyping.
- AES Encryption: Secures patient data end-to-end, meeting healthcare standards.
This stack let us rapidly build a secure, AI-driven rehab app that syncs data and delivers results—perfect for the hackathon and beyond.
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