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.
Healthcare AI usually means shipping patient data to a cloud API. OpenMed flips that model: it is a local-first platform that runs clinical named-entity recognition (NER) and HIPAA-compliant PII de-identification 100% on your own hardware. No cloud, no patient data leaving your network.
🚀 Want to deploy OpenMed yourself?
Docker configs, system requirements, and installation guides — all on one page.
View OpenMed Tool Page →What is OpenMed?
OpenMed turns clinical text into structured, de-identified insight. Its core runtime performs clinical entity extraction — drugs, conditions, diseases, procedures — and redacts personally identifiable information (names, addresses, IDs, billing data) before anything is stored or shared. With 2,200+ medical models covering 21 languages and 33 model-backed PII languages, it is one of the largest open healthcare AI ecosystems available, backed by a research paper on arXiv (2508.01630) and an Apache-2.0 SDK.
Why local-first matters for healthcare
Privacy by architecture. HIPAA, GDPR, and hospital policies increasingly require that patient data never leaves the facility. OpenMed's on-device runtime means inference happens where the data lives — on a hospital server, a clinic laptop, or even an iPhone.
Where can it run?
| Platform | Runtime |
|---|---|
| Apple Silicon | MLX acceleration (OpenMedKit, Swift) |
| Linux / macOS / Windows | Python, CPU or CUDA |
| Android | ONNX Runtime Mobile |
| Browser | WebGPU via Transformers.js |
Getting started is a single pip install, and a REST service, batch processor, and MCP server are included — making it a drop-in component for clinical NLP pipelines.
🚀 Want to deploy OpenMed yourself?
Docker configs, system requirements, and installation guides — all on one page.
View OpenMed Tool Page →