healthcare-data-compliance-expert
Assess Healthcare Data Compliance
Healthcare data projects face strict consent, privacy, genetic resource, ownership, and transfer requirements in China. This skill structures risk assessments and practical compliance paths.
使用我的智慧代理安裝
將此請求複製給你的智慧代理，其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "healthcare-data-compliance-expert" from https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-healthcare-data-compliance-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫，並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時，請使用這些連結。
測試它
正在使用「healthcare-data-compliance-expert」。 Can deidentified CT images be used to train a diagnostic model?
預期結果:
- Decision: More information and remediation are required before use.
- Confirm whether deidentification prevents reidentification and removes embedded image metadata.
- Verify patient authorization, ethics approval, purpose limits, retention, and model partner access.
- Treat the images as sensitive personal information unless true anonymization is demonstrated.
正在使用「healthcare-data-compliance-expert」。 A hospital plans to provide genetic data to an overseas research partner.
預期結果:
- Decision: Stop external provision until regulatory screening is complete.
- Confirm whether the data qualifies as human genetic resource information.
- Document consent, ethics review, collaboration structure, recipient, purpose, and transfer route.
- Obtain specialist legal review and confirm current approval, filing, and transfer requirements.
正在使用「healthcare-data-compliance-expert」。 Who should sign a contract for a hospital data analytics project?
預期結果:
The hospital is usually the contracting data controller, but the authorization chain must cover the proposed purpose. Confirm patient rights and physician-related issues.
安全審計
安全All 13 static findings are false positives. The cited backticks, paths, and URLs are documentation, while the entropy alerts reflect normal Chinese text rather than obfuscation.
風險因素
📁 檔案系統存取 (2)
⚙️ 外部命令 (3)
🌐 網路存取 (2)
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據，不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-healthcare-data-compliance-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/dhturing-healthcare-data-compliance-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
图灵数盟. (2026). healthcare-data-compliance-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert/audits/1BibTeX 引用
@techreport{dhturing-healthcare-data-compliance-expert-2026,
author = {图灵数盟},
title = {healthcare-data-compliance-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "healthcare-data-compliance-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-healthcare-data-compliance-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Hospital Data Project Review
Assess planned analytics or assetization against consent, ownership, privacy, ethics, and approval requirements.
Medical AI Training Assessment
Compare anonymization and authorization paths for clinical or imaging data used in model training.
Genetic Research Screening
Identify human genetic resource controls for collection, collaboration, external provision, and cross-border transfer.
試試這些提示
Classify these healthcare datasets by type and sensitivity: [datasets]. Explain which items are sensitive personal information and why.
Review this proposed use: [purpose]. Identify separate consent needs, required notices, withdrawal controls, and missing facts.
Compare anonymization, explicit authorization, and research pathways for [project]. Recommend a path with prerequisites, evidence, owners, and stop conditions.
Assess [project] across data sensitivity, consent, ethics, human genetic resources, ownership, sharing, and cross-border transfer. Provide gaps, remediation, and a conditional decision.
最佳實務
- Provide the data inventory, processing purpose, recipients, locations, retention period, and current consent evidence.
- Separate anonymization from deidentification and document reidentification risk testing.
- Confirm current requirements with legal counsel, ethics bodies, and regulators before execution.
避免
- Do not assume deidentified data is anonymous or outside personal information rules.
- Do not reuse broad privacy notices as separate consent for unrelated sensitive data processing.
- Do not share genetic or medical data externally before completing approval and transfer screening.
常見問題
Does this skill provide legal advice?
Which jurisdiction does it cover?
Can it decide whether data is truly anonymous?
Does every healthcare project require separate consent?
Can it review human genetic resource issues?
What information produces the best assessment?
開發者詳細資訊
作者
图灵数盟授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構