H

healthcare

Example FHIR IG defining what a PSGC-capable terminology server must support (teaching IG, not a national standard)

Reference leaf node for federated analytics on BranchKey. Each site computes summary statistics over its own raw data; only the statistics leave the site, and the platform combines them into federation-wide constants. No raw records are ever uploaded.

Minimal modern JUnit extension for executing FHIR TestScripts using HAPI FHIR

Epsilon Model Connectivity driver exposing HL7 FHIR R4/R5 artefacts as queryable models

Minimal local installation website for FHIRLab

HAPI JPA server configuration reference for FHIR testing scenarios

Epsilon ETL pipeline transforming openEHR ADL archetypes into FHIR R5 logical models for AU-CDI

Marp-based slide presentations for FHIR Frog

FHIR Frog documentation site (MkDocs)

Emacs lsp-mode configuration for FHIR Shorthand Language Server

Vim/Neovim coc.nvim integration for FHIR Shorthand Language Server

Eclipse LSP4E integration for FHIR Shorthand Language Server

FHIR Frog Docker runtime image — nightly build with digest-based skip

Open-source FHIR facade for an existing HL7 v2 product; container-based deployment (docker-compose).

Maven archetype generating a HAPI FHIR JPA Server plugin that bridges a legacy HL7 v2 MLLP system to FHIR

Helm chart for Ontoserver FHIR terminology server

Helm chart for Form Lab FHIR forms environment

A playground environment for FHIR services, SMART application launch, and SDC (Structured Data Capture) form management.

nSight™ is a high-performance, open-source data discovery platform that bridges the gap between raw clinical data and actionable mechanistic hypotheses. Stop wrestling with spreadsheets and start visualizing your next breakthrough.

Juliette is a Cowork plugin for healthcare actuaries, value-based care strategists, financial modelers, health economists, ACO operators, and managed care analytics architects working in New York. It combines authoritative NYS Medicaid and CMS reference data with a live-data layer (eight MCP servers) and 18 domain skills that turn it all into actuarial deliverables.