Healthcare SaaS Platform
Project Overview
Developed a full-featured healthcare SaaS platform that digitizes clinic operations, from patient management to telemedicine consultations. The platform now serves over 50 clinics and handles 10,000+ appointments monthly.
The Challenge
Healthcare providers were struggling with:
- Paper-based patient records causing inefficiencies
- Manual appointment scheduling leading to double bookings
- Lack of integrated telemedicine capabilities
- No centralized system for multi-location clinics
- Complex billing and insurance processing
Technical Solution
System Architecture
- Microservices Architecture: Separate services for appointments, patients, billing, and video consultations
- Real-time Communication: WebRTC for video consultations, WebSocket for live updates
- HIPAA Compliance: End-to-end encryption, audit logs, secure data storage
- Multi-tenant System: Isolated data for each clinic with shared infrastructure
- Scalable Infrastructure: Auto-scaling based on demand
Core Features
- Patient Management: Complete EHR with medical history, prescriptions, and documents
- Smart Scheduling: AI-powered appointment optimization preventing conflicts
- Telemedicine: Integrated video consultations with screen sharing and recording
- Billing System: Automated insurance claims and payment processing
- Analytics Dashboard: Real-time insights into clinic performance
- Mobile Apps: Native apps for doctors and patients
Technologies Used
- Backend: Node.js, Express, GraphQL, PostgreSQL
- Frontend: React, Next.js, Material-UI, Redux
- Mobile: React Native for iOS/Android apps
- Real-time: Socket.io, WebRTC, Redis Pub/Sub
- Infrastructure: AWS, Docker, Kubernetes, CloudFormation
- Security: JWT, OAuth 2.0, SSL/TLS, AWS KMS
Results
- π¨ββοΈ 50+ clinics actively using the platform
- π± 10,000+ monthly appointments scheduled
- π° 40% reduction in administrative costs
- β±οΈ 60% faster patient check-in process
- π 100% HIPAA compliant with zero security incidents
Key Features Implementation
Intelligent Appointment Scheduling
// AI-powered appointment slot optimization
async function findOptimalSlot(doctorId, duration, preferences) {
const slots = await getAvailableSlots(doctorId);
const patientHistory = await getPatientPreferences(preferences);
return slots
.map(slot => ({
...slot,
score: calculateSlotScore(slot, patientHistory, duration)
}))
.sort((a, b) => b.score - a.score)
.slice(0, 3);
}
Real-time Video Consultation
// WebRTC connection management
class VideoConsultation {
async initializeCall(doctorId, patientId) {
const room = await this.createSecureRoom();
const token = this.generateAccessToken(room.id);
// Initialize end-to-end encryption
await this.setupEncryption(room);
// Start recording for medical records
if (this.recordingEnabled) {
await this.startRecording(room);
}
return { room, token };
}
}
Security & Compliance
- Data Encryption: AES-256 encryption at rest, TLS 1.3 in transit
- Access Control: Role-based permissions with audit trails
- Data Residency: Configurable data storage locations
- Regular Audits: Automated security scans and penetration testing
Client Testimonial
βThis platform revolutionized our clinic operations. The seamless integration of appointments, patient records, and telemedicine in one system has improved our efficiency dramatically. Our patients love the convenience, and our staff loves the simplicity.β
β Dr. Sarah Chen, Medical Director
Scalability Achievements
- Handles 1000+ concurrent video consultations
- 99.95% uptime over the past year
- Average API response time under 100ms
- Automatic scaling during peak hours
This project demonstrates my ability to build complex, compliant, and scalable SaaS platforms that solve real-world problems in highly regulated industries.