Bridging Healthcare Through Technology
Tele (Telemedicine) + Sana (Latin: Health & Life)
Features • Tech Stack • Getting Started • Workflow • Database • Contributing
TeleSana is a comprehensive hospital management application designed to streamline healthcare delivery by providing an intelligent mediator between patients and doctors. The platform leverages AI-powered diagnosis, seamless appointment booking, and real-time video consultations to make healthcare accessible and efficient.
To provide easy and smooth interaction between doctors and patients through innovative telemedicine solutions.
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🤖 AI Chatbot Diagnosis: Intelligent symptom analysis engine with risk level assessment
- Low Risk: Suggests OTC medicines and precautions
- Medium Risk: Recommends specialists with real-time availability
- High Risk: Emergency alert with ER directions
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👤 User Management: Secure authentication and profile management
- Personal health passbook
- Medical history tracking
- Appointment management
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👨⚕️ Doctor Recommendation: Smart doctor matching based on symptoms and specialization
- Real-time availability checking
- Appointment booking system
- Doctor profiles and qualifications
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💊 Prescription Management: Digital prescription handling with OCR
- Upload and read prescriptions
- Prescription history
- Medicine information database
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📹 Video Consultation: Integrated telemedicine consultations
- Real-time video appointments
- Doctor confirmation system
- Optional teleconsultation support
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🔔 Notifications: Automated follow-up reminders and alerts
- Appointment reminders
- Medication schedules
- Follow-up notifications
- HTML5 & CSS3: Semantic markup and modern styling
- JavaScript (ES6+): Core programming language
- React: Component-based UI library
- Next.js: React framework for production
- Node.js: Server-side JavaScript runtime
- Express.js: Web application framework (recommended)
- MySQL: Relational database for structured data
- User information
- Doctor profiles
- Appointment records
- MongoDB: NoSQL database for unstructured data
- Medical data
- Chat logs
- Session data
- AI API: Natural language processing for symptom analysis
- OCR Engine: Optical character recognition for prescription reading
- Video SDK: WebRTC-based video consultation (to be selected)
![Application Workflow][attached_image:1]
- Start: Patient opens the TeleSana app
- Symptom Entry: User enters symptoms via form or chatbot
- AI Analysis: Symptom analysis engine processes input
- Risk Assessment: System determines risk level
- Low Risk → Suggest OTC medicines → Follow-up reminder
- Medium Risk → Recommend specialist → Book appointment → Doctor confirmation → Prescription/Treatment → Follow-up notifications
- High Risk → Emergency alert ("Go to ER / Call Ambulance")