ccda

An open source fork of the now closed-source Mirth Connect. Installers for the engine are in this repository.

Convert HL7 to FHIR, CDA to FHIR, FHIR to HL7 as a Service

Synthetic Patient Clinical (CCDA) Documents

This is now being handled under a new Git Hub organization in 2024, HC-Connexxus-Integration. Complete Repository for all Integration Framework for HDF (Healthcare Data Foundation)

Highlight key medical information; weave clinical data and patient experience into a coherent health story.

Create, read and modify patient health information files in CCDA format in Laravel (upto v5.2) applications. (Deprecated)

A curated list of awesome resources on the Clinical Document Architecture (CDA)

🏆 2nd Prize Winner — Expert Nomination, InterSystems Programming Contest | 🏥 FHIR Interoperability Bridge built with InterSystems IRIS for Health | 🔄 CSV, HL7 v2 & CCDA → FHIR | ↔️ FHIR → HL7 v2 | 📋 FHIR Object Model & REST APIs.

Python library for generating HL7 C-CDA clinical documents

Javscript object that gets all the text from a CCD and puts into a json for easier parsability

CCDA Parsing Application with decoupled modules such as Task Submission, Processing, Data Storing using the RabbitMQ Message Queue.

A lightweight Python utility to convert HL7 CDA (Clinical Document Architecture) XML files into structured Python dictionaries or JSON. Ideal for testing, validation, or integration pipelines.

A collection of scripts to put your health data in one place locally.

Python engine & AI Skill to parse HL7 C-CDA XML clinical documents (CCD, Discharge Summaries, Referral Notes) into standardized, structured JSON.

Tools and doctrine for using an AI agent to get your medical records out of a patient portal, make them readable, and track what is actually open. Coordinates logistics; gives no medical advice.

Lightweight PHP CCDA/CCD viewer that parses uploaded clinical documents, shows patient metadata, section narratives, structured entries, and XML snippets in a Bootstrap UI.

A practical healthcare IT reference for software engineers — FHIR, HL7v2, CCDA, HIPAA, SMART on FHIR, Epic, TEFCA/QHINs, HIEs, and integration patterns, written from a developer's perspective.

High-performance ANSI EDI X12 (5010) to structured JSON parser with automated C-CDA R2.1/R1.1 XML clinical attachment extraction, zero external dependencies, REST API server, and Gemini Enterprise LLM plugin support.

Developer-focused C-CDA (Consolidated CDA R2.1) parser and utility library for Node.js & TypeScript