An open source fork of the now closed-source Mirth Connect. Installers for the engine are in this repository.
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Updated
Aug 17, 2026 - Java
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
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)
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 |
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
A collection of scripts to put your health data in one place locally.
CCDA Parsing Application with decoupled modules such as Task Submission, Processing, Data Storing using the RabbitMQ Message Queue.
FHIR-Native Clinical Data Interoperability Framework — Canonical profiles, HL7 v2/C-CDA mapping, computable quality metrics, provenance tracking, and verifiable exchange bundles for digital health data systems.
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.
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.
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.
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.
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