HealthSync - AI-Powered Medical Documentation Assistant
👥 Development Team (Group 12)
| # | Full Name | GitHub Username |
|---|---|---|
| 1 | Sunny Patel | sunnypatell |
| 2 | Michael Ispahani | Michaelexe |
| 3 | Royce Mathew | royce-mathew |
| 4 | Alyesha Singh | AlyeshaS |
Inspiration 🌟
In today's healthcare environment, medical professionals spend countless hours on documentation rather than patient care. We were inspired to create HealthSync after observing how AI could transform this time-consuming process into an efficient, accurate, and seamless experience.
What it does 🏥
HealthSync revolutionizes medical documentation through:
- 🎙️ Voice-First Approach: Hands-free documentation using advanced speech recognition
- 🤖 Dual AI Assistants: Specialized chatbots for different medical scenarios
- 📝 Real-Time Documentation: Automatic generation of structured medical notes
- ✅ Medical Terminology Validation: Ensures accuracy in medical terms
- 📊 Organized Charts: Clean, standardized medical documentation
How we built it 🛠️
Our tech stack includes:
- Frontend: Next.js & React for a responsive interface
- AI Integration: meta-llama/Llama-3.3-70B-Instruct-Turbo API for medical context processing (70 billion parameters of processing data chunks)
- Voice Recognition: WebkitSpeechRecognition API for hands-free input
- Styling: TailwindCSS for modern, responsive design
- Custom Components: Built from scratch for medical charting
Challenges we ran into 🚧
- Implementing precise medical terminology recognition in voice input
- Maintaining conversation context for accurate documentation
- Optimizing AI response latency for real-time use
- Designing an interface that works seamlessly with both voice and text
Accomplishments that we're proud of 🏆
- Created a fully functional EMR system within 4 hours
- Successfully integrated real-time voice-to-text with medical AI
- Developed an intuitive interface requiring minimal training
- Achieved accurate, automated medical documentation generation
What we learned 📚
- Advanced AI integration techniques
- Real-time speech processing implementation
- Medical documentation standards
- Healthcare UX/UI best practices
What's next for HealthSync 🚀
- 🌐 Multi-language support
- 🔒 HIPAA compliance implementation (following rules and bylaws, data not used for training)
- 📱 Mobile application development
- 🔄 EMR system integration (AI and system role content training)
- 💻 Offline functionality (AI models running locally on enterprise servers/AWS, file shares with ACL's)
- 🏥 Expanded medical specialties support
Try it out
Built With
- Next.js
- React
- Together AI (meta-llama/Llama-3.3-70B-Instruct-Turbo API)
- TailwindCSS
- WebkitSpeechRecognition API (for voice AI)
Built With
- chunk-embedding
- javascript
- meta-llama/llama-3.3-70b-instruct-turbo
- modeltransformers
- react
- together.ai
- webkitspeechrecognition
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