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 dependenciesβ€”no Java required.

πŸš€ 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.

Pure Python Advantage: Unlike other solutions requiring complex Java libraries or third-party services, our CDA converter is built entirely in Python. This means easier deployment, faster startup, lower resource requirements, and no licensing complications.

Quick Facts

  • βœ“ Pure Python (No Java!)
  • βœ“ Zero Dependencies
  • βœ“ CDA R2 Support
  • βœ“ C-CDA R1.1 & R2.1
  • βœ“ 13 FHIR Resources
  • βœ“ Sub-second Processing

Try Live Demo β†’


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
Test Environment: RedHat Enterprise Linux 9, 2 CPU cores, 4GB RAM. Pure Python processing with standard library XML parsing only. No Java runtime or external dependencies required.

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

  • βœ“ C-CDA R1.1
  • βœ“ C-CDA R2.1
  • βœ“ US Realm Header
  • βœ“ HL7 CDA R2

Standard Sections

  • βœ“ Problems Section
  • βœ“ Medications Section
  • βœ“ Allergies Section
  • βœ“ Results Section
  • βœ“ Procedures Section
  • βœ“ Immunizations Section
  • βœ“ Vital Signs Section
  • βœ“ Social History Section

Architecture

The CDA transformation suite consists of four integrated components:

1

CDA Parser

Extracts clinical data from CDA XML structure

2

Section Processor

Handles individual CDA sections (medications, problems, etc.)

3

FHIR Builder

Creates Patient, Encounter, Observation, and other resources

4

Bundle Generator

Assembles complete FHIR R4 transaction bundles


What's Included

Software Components

  • βœ“ CDA to FHIR transformation engine
  • βœ“ Template-based section processors
  • βœ“ Web GUI with admin dashboard
  • βœ“ Command-line processing tools
  • βœ“ Configuration files
  • βœ“ FHIR resource validators

Documentation & Support

  • βœ“ Getting Started Guide
  • βœ“ Installation Guide (Linux & Windows)
  • βœ“ CDA Section Mapping Documentation
  • βœ“ FHIR Resource Mapping Specifications
  • βœ“ Troubleshooting Guide
  • βœ“ 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.

Launch CDA to FHIR Demo β†’


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?

βœ“ Zero Dependencies

Pure Python with no external libraries required - no Java.

βœ“ Fast Deployment

No complex setup or external dependencies - deploy in minutes

βœ“ C-CDA Compliant

Full support for Consolidated CDA R1.1 and R2.1 templates

βœ“ Comprehensive Extraction

All clinical data mapped to 13 FHIR R4 resource types

βœ“ Production Performance

Sub-second processing for standard documents, even on entry-level hardware

βœ“ Proven Technology

Built on 30 years of Redix healthcare data transformation experience

Note: Unlike HL7 conversion, the CDA converter is a standalone Python solution and does not require a separate Redix Format Converter Engine license.