HL7 Message Analyzer is a single-page, browser-based tool for visualizing HL7 v2.x messages. It parses raw HL7 text into color-coded segments, highlights fields/components, flags non-printable characters, and offers ASCII view, segment jumping, and copyable output—all client-side, no server required.

Run HL7 quality checks and export validation reports. Built by SmaRTy Saini Corp

Lightweight Python utility for de-identifying FHIR resources by removing or transforming PHI and PII fields for research and testing use.

Collaborative hub for sharing and shaping AI best practices in Medicaid through the Safe AI in Medicaid Alliance (SAMA).

Validate FHIR resources directly in your browser. This open-source tool checks required fields, highlights missing elements, and flags invalid values for common resource types—all without server dependencies. Ideal for quick diagnostics, learning FHIR structure, or validating profiles securely.

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.

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