maziyarpanahi/openmed✦ 精选0°

building-with-openmed

仓库创建 2025年10月4日最近提交 4 小时前SkillHot 收录 3 小时前

⬈ GitHub 仓库 ⬈ SKILL.md 原文件 ⬇ Raw 原始文件

▸ 精选理由

覆盖模型、去标识、导出与评估的全局地图，便于快速上手与工程接入。

▸ 风险提示

处理医疗文本与 PHI 时需遵守合规要求（如 HIPAA）；模型需从外部下载。

这个 Skill 做什么

为使用 OpenMed 的临床生物医学 NLP 项目提供入门、能力与部署指导。

给想用 OpenMed 做临床/生物医 NLP 的人一份入门地图：怎么安装、哪些能力（NER、PHI 去标识化、FHIR 导出、评估）适合你的场景，以及如何部署。OpenMed 是 Apache-2.0 的本地优先库，模型从 Hugging Face 下载后全在本地运行、不外呼也不留原始 PHI。会指引你用哪个入口功能或接哪个后续 skill。

▸ 展开 SKILL.md 英文原文

Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation. Use when the user mentions OpenMed, wants to install it, asks which OpenMed capability or model fits a task, or is starting to build a clinical/medical text pipeline and needs the right entry point.

垂直行业本地化临床NLP部署指南通用

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帮我安装这个 skill：https://raw.githubusercontent.com/maziyarpanahi/openmed/master/skills/building-with-openmed/SKILL.md

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SKILL.MD 节选查看完整文件 ↗

# Building with OpenMed

OpenMed is an Apache-2.0, **local-first** Python library for clinical and
biomedical NLP. Models download once from the Hugging Face Hub and then run
**fully on-device** — no network calls, no telemetry, no raw PHI in logs,
caches, or temp files. This skill is the map: it tells you what OpenMed can do
and which focused skill (or API) to reach for next.

## When to use this skill

Use it to scope a task and pick an entry point. For the actual work, hand off to
the focused OpenMed skills (each is grounded in the real API):

| Task | Skill / API |
| --- | --- |
| Find and load a model | `loading-openmed-models`, `choosing-openmed-models` |
| Run clinical/biomedical NER

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