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OpenMed

Local-first healthcare AI for clinical NER and HIPAA PII de-identification, running 100% on your own hardware.

★ 5,158 GitHub Apache-2.0 healthcarepiinerlocal-llmprivacymlxhipaa LLM & Chat

Overview

OpenMed is a local-first healthcare AI platform that turns clinical text into structured, de-identified insight on hardware you control. It performs clinical named-entity recognition (NER) and HIPAA-compliant PII de-identification fully on-device — no cloud, no patient data leaving your network. With 2,200+ medical models covering 21 languages and 33 model-backed PII languages, OpenMed runs on Apple Silicon (MLX), Python (CPU/CUDA), Android (ONNX Runtime Mobile), and even in the browser via WebGPU. The Apache-2.0 SDK includes a Python API, a REST service with /analyze and /pii/deidentify endpoints, batch processing, and an MCP server, plus Dockerfiles for self-hosting.

Requirements

Min vCPU

Min RAM

4096 MB

Min Disk

10 GB

Rec vCPU

Rec RAM

8192 MB

Rec Disk

20 GB

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Guides & articles

OpenMed Tutorial: De-Identify Clinical Notes with On-Device PII Redaction

Step-by-step tutorial: install OpenMed, extract drugs and conditions with the Python API, redact PII via the REST service, and scale with batch processing — all on your own hardware.

Aug 25, 2026

OpenMed: Local-First Healthcare AI for Clinical NER & HIPAA PII De-identification

OpenMed is a local-first healthcare AI platform for clinical NER and HIPAA PII de-identification that runs 100% on your own hardware — no cloud, no patient data leaving your network.

Aug 25, 2026