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Implementation Approach

This guide provides practical advice for implementing the FHIR patterns in real-world healthcare systems, including architectural considerations, technology choices, and deployment strategies.

Getting Started

1. Assessment and Planning

Before implementing patterns, conduct a thorough assessment of your current environment:

Current State Analysis

  • Legacy Systems: Inventory existing systems and their data formats (HL7v2, CDA, proprietary)
  • Integration Points: Map current integration patterns and data flows
  • Technical Debt: Assess existing technical constraints and dependencies
  • Compliance Requirements: Understand regulatory and policy requirements

Requirements Gathering

  • Use Cases: Define specific healthcare workflows and user scenarios
  • Performance Requirements: Establish latency, throughput, and availability targets
  • Security Requirements: Document authentication, authorization, and audit needs
  • Scalability Needs: Plan for growth in users, data volume, and geographic distribution

2. Pattern Selection

Use the Forces Analysis to identify which patterns address your specific challenges:

Primary Challenge Recommended Starting Patterns

3. Implementation Sequence

Implement patterns incrementally to manage complexity and validate assumptions:

Phase 1: Foundation (Months 1-3)

Phase 2: Core Integration (Months 4-6)

Phase 3: Advanced Features (Months 7-12)

Architectural Considerations

Deployment Architecture

Single-Tenant On-Premises

Single-Tenant On-Premises

Multi-Tenant Cloud

Multi-Tenant Cloud

Federated Multi-Organization

Federated Multi-Organization

Technology Stack Recommendations

Backend Technologies

Component Recommended Options Considerations
FHIR Server HAPI FHIR Server, Microsoft FHIR Server, IBM FHIR Server Choose based on language preference, scaling needs
API Gateway Kong, Ambassador, Istio Gateway Consider service mesh integration
Message Queue RabbitMQ, Apache Kafka, Azure Service Bus Choose based on throughput and durability needs
Cache Redis, Hazelcast, AWS ElastiCache In-memory caching for performance
Database PostgreSQL, MongoDB, Azure Cosmos DB FHIR servers often dictate choice
Authentication Keycloak, Auth0, Azure AD SMART on FHIR compliance required

Start Simple

Begin with a minimal viable implementation of 2-3 core patterns. Add complexity gradually as you gain experience and confidence.

Production Readiness

Ensure comprehensive testing, monitoring, and security measures are in place before deploying to production healthcare environments. Patient data requires the highest level of protection and reliability.