Healthcare Software Architecture
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| โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Security Layer โ
โ (Authentication, Authorization, Encryption) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ API Gateway โ
โ (Rate limiting, Audit logging) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโ
โ โ โ
โโโโโโโโโผโโโโโโโโ โโโโโโโโโโโผโโโโโโโโโโ โโโโโโโโโผโโโโโโโโ
โ Patient โ โ Scheduling โ โ Billing โ
โ Service โ โ Service โ โ Service โ
โโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโ
โ โ โ
โโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Encrypted Database โ
โ (PostgreSQL with field-level encryption) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Audit Log Store โ
โ (Immutable, tamper-proof) โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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Healthcare Compliance Implementation
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| // thorough audit logging
@Aspect
@Component
public class HealthcareAuditAspect {
@Autowired
private AuditLogService auditLog;
@Around("@annotation(Audited)")
public Object auditOperation(ProceedingJoinPoint joinPoint) {
AuditEntry entry = AuditEntry.builder()
.timestamp(Instant.now())
.user(SecurityContext.getCurrentUser())
.operation(joinPoint.getSignature().getName())
.parameters(sanitize(joinPoint.getArgs()))
.ipAddress(RequestContext.getClientIP())
.build();
try {
Object result = joinPoint.proceed();
entry.setStatus(AuditStatus.SUCCESS);
entry.setResult(summarize(result));
return result;
} catch (Exception e) {
entry.setStatus(AuditStatus.FAILURE);
entry.setError(e.getMessage());
throw e;
} finally {
auditLog.write(entry); // Immutable append
}
}
}
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Healthcare System Components
| Component | Requirements | Implementation |
|---|
| Patient Records | Privacy, accuracy | Encrypted storage, versioning |
| Scheduling | Reliability, conflicts | Transactional, notifications |
| Pharmacy | Inventory, interactions | Drug database, alerts |
| Billing | Accuracy, insurance | Integration, audit trail |
| Reporting | Compliance, analytics | Aggregated, anonymized |
Technologies for Healthcare
- Backend: Java (Spring Boot), Python (FastAPI)
- Database: PostgreSQL (encrypted), MongoDB
- Security: Spring Security, Keycloak, encryption at rest
- Messaging: Kafka, RabbitMQ
- Real-time: WebSocket, GPS tracking
- Compliance: Audit logging, RBAC, encryption
Frequently Asked Questions
What is HealthTech development?
HealthTech development involves building software for healthcare: patient portals, EHR integrations, telemedicine platforms, clinical decision support, and medical device software. HealthTech requires special attention to compliance, security, and reliability.
How much does HealthTech development cost?
HealthTech development typically costs $120-180 per hour. A basic patient portal starts around $50,000-100,000, while complex clinical platforms with EHR integration and compliance certifications range from $200,000-1,000,000+. Compliance adds significant cost.
What is HIPAA compliance for software?
HIPAA requires protecting patient health information (PHI). For software, this means: encryption (at rest and in transit), access controls, audit logging, BAAs with vendors, security policies, and regular risk assessments. I build HIPAA-compliant systems from the ground up.
Do you work with HL7 FHIR?
Yes. FHIR (Fast Healthcare Interoperability Resources) is the modern standard for healthcare data exchange. I implement FHIR APIs for EHR integration, patient data access, and healthcare app development. FHIR is increasingly required for interoperability.
Can you integrate with Epic, Cerner, or other EHRs?
Yes. I’ve integrated with major EHR systems through their APIs. Integration typically involves: FHIR APIs, OAuth authentication, data mapping, and handling the specific quirks of each vendor. EHR integration is complex but essential for clinical workflows.
Experience:
Case Studies:
Related Technologies: Spring Boot, Java, PostgreSQL, Kafka, Microservices