CDA to FHIR Converter | Zero Dependencies | Pure Python
Convert Clinical Document Architecture (CDA R2) documents to FHIR R4 bundles with comprehensive field mapping. Pure Python implementation with zero external dependenciesβno Java required.
π Zero-Dependency Design
Pure Python implementation with no external dependencies. No Java runtime, no complex libraries. Deploy quickly and start converting CDA documents to FHIR immediately.
Overview
The Redix CDA to FHIR Transformation Package converts Clinical Document Architecture (CDA R2) documents into FHIR R4 bundles with comprehensive field mapping and resource extraction.
Built on Redix's 30 years of healthcare data transformation experience, this pure Python solution provides reliable conversion without external dependencies beyond standard libraries.
Quick Facts
- β Pure Python (No Java!)
- β Zero Dependencies
- β CDA R2 Support
- β C-CDA R1.1 & R2.1
- β 13 FHIR Resources
- β Sub-second Processing
Supported Document Types
Full Clinical Document Architecture (CDA R2) support for all major document types:
Core Clinical Documents
- CCD (Continuity of Care Document): Complete patient summary with problems, medications, allergies, procedures
- Progress Notes: Clinical progress documentation and assessments
- Discharge Summary: Hospital discharge records with diagnoses and treatment plans
- History & Physical: H&P documentation including chief complaints and physical findings
- Consultation Notes: Specialist consultation reports and recommendations
- Operative Notes: Surgical procedure documentation
- Diagnostic Imaging Reports: Radiology and imaging study results
Additional Document Types
- Procedure Notes
- Transfer Summary
- Referral Notes
- Care Plan Documents
- Immunization Records
- Lab Reports (embedded in CDA)
- Pathology Reports
- Problem List Documents
- Medication List Documents
FHIR R4 Resource Extraction
The converter extracts and creates the following FHIR R4 resources from CDA documents:
| FHIR Resource | Extracted From | Coverage |
|---|---|---|
| Patient | CDA Header (recordTarget) Demographics, identifiers, contact info |
95% |
| Practitioner | CDA Header (author, performer) Provider information |
90% |
| Organization | CDA Header (custodian, provider) Facilities, departments |
90% |
| Encounter | CDA Header (componentOf) Visit information |
85% |
| Observation | Results, Vital Signs, Social History Labs, vitals, smoking status |
90% |
| Condition | Problem List, Diagnoses Active/resolved problems |
90% |
| Medication | Medications Section Current medications |
88% |
| MedicationRequest | Medication Orders Prescriptions, orders |
85% |
| AllergyIntolerance | Allergies Section Allergies and adverse reactions |
92% |
| Procedure | Procedures Section Past procedures |
88% |
| Immunization | Immunizations Section Vaccination history |
90% |
| DocumentReference | CDA Document Metadata Document details |
95% |
| Composition | CDA Document Structure Document composition |
92% |
Performance Benchmarks
Fast processing times for various document complexities (pure Python, no external dependencies):
| Document Type | Typical Size | Processing Time |
|---|---|---|
| Simple documents Basic progress note |
50-100KB 2-4 sections |
100-200ms |
| Standard CCD Typical continuity of care |
100-300KB 8-12 sections |
200-400ms |
| Complex documents Discharge summary |
300-500KB 12-16 sections |
400-600ms |
| Large comprehensive Full clinical summary |
500KB-1MB+ 15+ sections |
600-1000ms |
Key Features
Zero Dependencies
- Pure Python implementation
- No Java runtime required
- No external libraries
- Standard library XML only
- Easy deployment
- Fast startup
Multiple Interfaces
- Web GUI with drag-and-drop
- Command-line tools
- REST API
- Batch processing
- Python library import
- Automated workflows
Quality Assurance
- CDA R2 validation
- FHIR R4 validation
- Error reporting
- Processing logs
- Section mapping tracking
- Template validation
C-CDA Template Support
Full support for Consolidated CDA (C-CDA) templates:
Supported Versions
- β C-CDA R1.1
- β C-CDA R2.1
- β US Realm Header
- β HL7 CDA R2
Standard Sections
- β Problems Section
- β Medications Section
- β Allergies Section
- β Results Section
- β Procedures Section
- β Immunizations Section
- β Vital Signs Section
- β Social History Section
Architecture
The CDA transformation suite consists of four integrated components:
CDA Parser
Extracts clinical data from CDA XML structure
Section Processor
Handles individual CDA sections (medications, problems, etc.)
FHIR Builder
Creates Patient, Encounter, Observation, and other resources
Bundle Generator
Assembles complete FHIR R4 transaction bundles
What's Included
Software Components
- β CDA to FHIR transformation engine
- β Template-based section processors
- β Web GUI with admin dashboard
- β Command-line processing tools
- β Configuration files
- β FHIR resource validators
Documentation & Support
- β Getting Started Guide
- β Installation Guide (Linux & Windows)
- β CDA Section Mapping Documentation
- β FHIR Resource Mapping Specifications
- β Troubleshooting Guide
- β Sample CDA documents for testing
System Requirements
| Python | Version 3.9+ (pure Python, no other dependencies) |
| Minimum Hardware | 2 CPU cores, 4GB RAM, 10GB storage |
| Recommended Hardware | 4+ CPU cores, 8GB+ RAM, SSD storage |
| Operating Systems | Linux (RHEL 8/9, CentOS, Ubuntu 20.04+) or Windows (10/11, Server 2019/2022) |
| Deployment Options | Standalone, Docker, Kubernetes, AWS, Azure, Google Cloud |
Try It Now - Live Demo
Test CDA document conversion with sample files or upload your own CDA documents.
Business Value
Simplified Deployment
No Java runtime, no complex dependencies, no licensing issues. Deploy quickly with just Python and start converting CDA documents immediately.
Cost-Effective
Reduce infrastructure complexity and maintenance costs. Pure Python design means lower resource requirements and easier troubleshooting.
Comprehensive Coverage
Extract all clinical data from CDA documents into proper FHIR R4 resources. Support for all major document types and C-CDA templates.
Service Packages
| Package | Description | Best For |
|---|---|---|
| DIY Foundation | Complete source code, documentation, and sample files. Self-service implementation with comprehensive guides. | Organizations with Python expertise |
| Professional Services | Foundation plus custom template mapping, testing, and deployment assistance for your specific requirements. | Standard implementations with custom CDA templates |
| Enterprise Package | Complete turnkey solution including custom development, integration, training, and ongoing support. | Complex environments with proprietary CDA extensions |
Why Choose Redix CDA to FHIR?
β Zero Dependencies
Pure Python with no external libraries required - no Java.
β Fast Deployment
No complex setup or external dependencies - deploy in minutes
β C-CDA Compliant
Full support for Consolidated CDA R1.1 and R2.1 templates
β Comprehensive Extraction
All clinical data mapped to 13 FHIR R4 resource types
β Production Performance
Sub-second processing for standard documents, even on entry-level hardware
β Proven Technology
Built on 30 years of Redix healthcare data transformation experience