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D003 敏感信息识别与去标识化

在本地识别并处理患者身份与其他敏感信息,保存去标识化结果和检查证据,为后续临床数据加工提供受控输入。

个人 Skill知识加工12 个文件浏览次数 0
开始使用

下载前阅读 SKILL.md 中的使用条件,并确认所用工具支持对应能力。

输入资料
Required: local source package path Recommended handoff artifacts: D001 source_manifest.json D002 schema_linkage_profile.json Example:D003 may run without D002, but identifier-role inference becomes less reliable and the… 阅读本节完整说明
交付内容
Always produce: phi_gate_report.json phi_gate_report.md deidentified_package/ for supported sanitized artifacts deidentified_manifest.json — source→sanitized artifact/status handoff privacy_review_queue.csv — review-requ… 阅读本节完整说明
  1. 获取完整包,保留配套文件的目录结构。
  2. 按照原文准备所需工具、依赖与输入资料。
  3. 阅读对应使用步骤与输入输出说明,在自己的环境中验证结果。

使用提示摘自原文,配套文件保留来源版本;实际运行条件以各包说明为准。

正文

获取原文件

references/deidentification-contract.md

D003 emits two kinds of artifacts:

  1. a sanitized data package
  2. an aggregate-only privacy/gating report

The report never contains raw direct identifiers or source excerpts.

Gate interpretation

downstream_processing_gate controls deterministic downstream processing of sanitized artifacts.

model_visibility_gate controls whether an agent/model may read sanitized content without an additional privacy review.

network_egress_gate is always blocked in v0.1.

Report sensitivity

phi_gate_report.json is still restricted_local. Even without raw PHI it may disclose dataset structure, counts, hospital-specific field names, and privacy-risk surfaces.

Residual findings

Only finding categories, counts and source references are emitted. The matched value itself is never emitted.

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医疗 AI · 产品与独立开发

刘浩南

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12年医疗产研经验,大湾区头部医疗AI公司前产品总监,独立开发者

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