Cloud-Based Healthcare Management System
Scalable, Secure & Compliant Architecture
Course: Advanced Cloud Computing
Presented by: Muhabbat Ali, Meet Goyani
Instructor: Prof. Badre BOUSALEM
Date: October 20, 2025
Architecture Overview
Microservices-Based Design
- 9 Core Microservices: Patient Management, Scheduling, Telemedicine, Billing, Notifications, Analytics, Identity, File Management
- AWS Foundation: EC2, RDS, S3, Lambda, API Gateway
- Security First: IAM, KMS encryption, VPC isolation
- Event-Driven: Kafka (MSK), SQS, SNS for asynchronous communication
Key Components
Compute & Network
• EC2 Auto Scaling Groups
• Application Load Balancer
• API Gateway
Data & Storage
• RDS (PostgreSQL)
• S3 with encryption
• ElastiCache
Security
• IAM & Cognito
• KMS encryption
• Secrets Manager
Monitoring
• CloudWatch
• X-Ray tracing
• Automated alerts
System Architecture Layers
Four-Tier Design
- User Layer: Web/mobile apps with HTTPS and MFA
- Access Layer: Route 53, CloudFront, ALB, API Gateway
- Service Layer: 9 microservices across multiple AZs
- Data Layer: RDS, S3, ElastiCache, CloudWatch
Example Flow: Registration → Authentication → Data Storage → Appointment Scheduling → Telemedicine → Analytics
Scalability & Performance
Handling Growth Efficiently
- Auto Scaling: EC2 groups adjust to demand automatically
- Database Scaling: RDS read replicas distribute load
- Caching: ElastiCache reduces database queries by 60%
- CDN: CloudFront delivers static content globally
- Decoupling: Kafka and SQS enable independent service scaling
Security & HIPAA Compliance
Multi-Layer Protection
- Encryption: Data at rest (KMS) and in transit (TLS)
- Access Control: IAM least-privilege policies
- Network Security: VPC with private subnets
- Authentication: Cognito with MFA
- Audit: CloudWatch logs all access and changes
- Compliance: Regular audits and penetration testing
Telemedicine Infrastructure
Virtual Healthcare Delivery
- Video Consultations: Real-time streaming with end-to-end encryption
- Session Recording: Stored securely in S3 with patient consent
- Notifications: Automated reminders via SNS/SES
- Ethical Design: Explicit consent, privacy protection, clinician verification
- Accessibility: Mobile-friendly, low-bandwidth mode for rural areas
AI & Analytics
Data-Driven Healthcare
- SageMaker: Predictive analytics and clinical decision support
- Use Cases: Patient risk prediction, resource optimization, treatment recommendations
- Transparency: Confidence scores and explainable AI
- Human Oversight: Clinician review required for critical decisions
- Data Privacy: De-identified data for model training
Cost Optimization Strategies
Efficient Resource Management
- S3 Intelligent-Tiering: Automatic data archiving
- Reserved Instances: 40% savings on predictable workloads
- Lambda: Pay-per-use for lightweight tasks
- Spot Instances: 70% discount for non-critical processing
- Monitoring: CloudWatch identifies underutilized resources
Disaster Recovery
Business Continuity Plan
- RTO: 4 hours recovery time objective
- RPO: 15 minutes recovery point objective
- Multi-Region: Cross-region S3 replication
- Automated Backups: RDS snapshots every 6 hours
- Infrastructure-as-Code: Rapid redeployment with Terraform
- Testing: Quarterly DR drills
Key Benefits
For Patients
• 24/7 access to records
• Virtual consultations
• Secure data privacy
For Clinicians
• AI-powered insights
• Streamlined workflows
• Mobile accessibility
For Organization
• Reduced costs
• HIPAA compliance
• Scalable infrastructure
For IT Teams
• Automated monitoring
• Easy maintenance
• Rapid deployment
Diagram
Conclusion
A Future-Ready Healthcare Platform
Our cloud architecture delivers:
- Scalability to grow with increasing demand
- Security that exceeds HIPAA requirements
- Innovation through AI and telemedicine
- Reliability with 99.99% uptime guarantee
- Cost-Efficiency through smart resource management
Ready to transform healthcare delivery