A web-based Electronic Health Record (EHR) system built with Rust and Python for the backend, AWS for database management, and HTML5, CSS, JavaScript (with React/Angular/Vue.js) for the frontend. This system aims to provide secure, scalable, and interoperable healthcare data management for clinicians and patients.
- Secure Login: Multi-factor authentication (MFA) using OAuth 2.0 or OpenID Connect for clinicians and patients.
- Role-Based Access Control (RBAC): Different access levels (e.g., admin, doctor, nurse, patient) to restrict data visibility.
- Session Management: Secure session handling with JWT (JSON Web Tokens) or equivalent.
- Password Recovery: Secure password reset via email or SMS with temporary tokens.
- Patient Profiles: Store and manage demographics (name, age, gender, contact), medical history, allergies, medications, and vitals.
- Record Creation/Editing: CRUD (Create, Read, Update, Delete) operations for patient records, accessible by authorized users.
- Search Functionality: Full-text search for patient records using indexed fields (e.g., name, ID).
- Encounter Management: Log patient visits, including symptoms, diagnoses, and treatment plans.
- Order Entry: Allow clinicians to order labs, imaging, or prescriptions with e-prescribing integration.
- Clinical Decision Support: Basic rule-based alerts for drug interactions, allergies, or abnormal vitals.
- Dashboard: Display appointments, test results, and medications for patients.
- Appointment Scheduling: Book, reschedule, or cancel appointments with calendar integration.
- Secure Messaging: Enable patient-provider communication with encryption.
- Prescription Refills: Allow patients to request refills, routed to clinicians for approval.
- Charts and Graphs: Display vitals, lab results, or trends (e.g., blood pressure over time) using libraries like Chart.js or D3.js.
- Document Viewer: Render PDFs or images (e.g., lab reports, X-rays) in the web app.
- FHIR Compliance: Implement Fast Healthcare Interoperability Resources (FHIR) APIs for data exchange with other systems.
- Integration with External Systems: Connect to labs, pharmacies, or imaging systems via APIs or HL7 standards.
- Data Encryption: Use TLS for data in transit and AES-256 for data at rest.
- Audit Logging: Track all user actions (e.g., who accessed what record) for compliance with HIPAA/GDPR.
- Data Anonymization: Ensure patient data is de-identified for analytics or research purposes.
- Backup and Recovery: Regular automated backups on AWS with disaster recovery mechanisms.
- Basic Analytics: Generate reports on patient outcomes, appointment stats, or medication usage.
- Export Functionality: Allow data export in CSV/PDF formats for administrative use.
- Backend:
- Rust: Actix Web or Rocket for high-performance APIs and WebSocket support.
- Python: FastAPI or Flask for rapid API development, with Pydantic for validation and Celery for asynchronous tasks.
- Database (AWS):
- Amazon RDS: PostgreSQL/MySQL for structured data.
- Amazon DynamoDB: For unstructured data (e.g., notes, logs).
- Amazon S3: Storage for medical images and PDFs.
- Amazon ElastiCache: Redis/Memcached for caching.
- Frontend:
- HTML5, CSS, JavaScript: Core web technologies.
- Framework: React (with Redux/Zustand), Angular (with RxJS), or Vue.js (with Vuex/Pinia).
- Styling: Material-UI, Tailwind CSS, or Bootstrap for responsive design.
- Infrastructure:
- AWS ECS/EC2 or Fargate: Containerized deployment.
- AWS CloudFront: CDN for static assets.
- AWS Route 53: DNS management.
- AWS CloudWatch: Monitoring and logging.
- Interoperability: FHIR and HL7 standards for data exchange.
- Security: TLS, AES-256, OAuth 2.0, and compliance with HIPAA/GDPR.
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Prerequisites:
- Install Rust (via
rustup), Python 3.8+, and Node.js. - Set up an AWS account with access to RDS, DynamoDB, S3, and ECS/Fargate.
- Install Docker for containerization.
- Install Rust (via
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Backend Setup:
# Clone the repository git clone <repository-url> cd ehr-system # Rust setup cd backend/rust cargo build --release # Python setup cd ../python pip install -r requirements.txt