💡 Inspiration
The "Recovery Gap" is a silent crisis in healthcare. Millions of patients are discharged from hospitals every year only to face confusion regarding their medication, missed follow-up appointments, and a lack of immediate support. We were inspired by the idea of creating a "digital safety net"—a system that keeps patients connected to their clinical team during the most critical days of post-operative or chronic care recovery.
🩺 What it does
SYNAPSE-CARE is an intelligent recovery management platform that bridges the gap between clinical discharge and full health.
For Patients: It provides an interactive care plan, automated medication reminders with OCR-based prescription scanning, and a direct line to their care team.
For Providers: It offers a centralized dashboard that flags "at-risk" patients using real-time data, allowing for early intervention before a readmission is necessary.
Core Feature: An AI-driven symptom checker that analyzes patient logs and prioritizes urgent cases for doctors.
🛠️ How we built it
We adopted a robust, scalable tech stack designed for security and speed:
Frontend: Built with React Native to provide a seamless, high-performance mobile experience for both iOS and Android.
Backend: A Node.js and FastAPI microservices architecture to handle high-concurrency data processing.
Database: PostgreSQL for structured medical records and Redis for real-time notification queuing.
AI/ML: Utilized Google Cloud Vision API for prescription OCR and custom Python models for patient risk-stratification.
Security: Implemented AES-256 encryption and OAuth 2.0 to ensure HIPAA-level data privacy.
🚧 Challenges we ran into
Interoperability: Mapping our data schema to existing Electronic Health Record (EHR) standards like HL7 FHIR was a steep learning curve.
OCR Accuracy: Medical prescriptions often contain complex abbreviations; fine-tuning the OCR to accurately identify dosages required extensive testing.
User UX for Elderly: Designing an interface that is accessible for patients who may not be "tech-savvy" required multiple iterations of our UI/UX wireframes.
🏆 Accomplishments that we're proud of
Real-time Connectivity: Successfully implementing a notification system that alerts a doctor within seconds if a patient logs a critical symptom.
Seamless OCR: Achieving a 95%+ accuracy rate in digitizing handwritten and printed pharmacy labels.
End-to-End Design: Going from a conceptual "recovery gap" problem to a fully functional prototype with a finalized system architecture in record time.
📚 What we learned
We learned that in healthcare technology, empathy is as important as code. Building features isn't enough; you have to understand the physical and emotional state of a patient in recovery. We also gained deep insights into healthcare regulations (HIPAA/GDPR) and the vital importance of data data integrity.
🚀 What's next for SYNAPSE-CARE
IoT Integration: Syncing directly with wearable devices (Apple HealthKit/Google Fit) to pull heart rate and oxygen levels automatically.
Pharmacy Partnerships: Integrating directly with major pharmacy chains for one-click medication refills.
Predictive Analytics: Training our models to predict potential complications before they manifest based on subtle changes in patient behavior.
Built With
- awstexttrack
- css
- firebasecloudmessaging
- flask
- google-maps
- html
- javascript
- jwt-basedrolemanagment
- mysql
- postgresql
- python
- tesseractocr
- twilio
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