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.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
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.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「healthcare-data-compliance-expert」を使用しています。 Can deidentified CT images be used to train a diagnostic model?
期待される結果:
- 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.
「healthcare-data-compliance-expert」を使用しています。 A hospital plans to provide genetic data to an overseas research partner.
期待される結果:
- 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.
「healthcare-data-compliance-expert」を使用しています。 Who should sign a contract for a hospital data analytics project?
期待される結果:
The hospital is usually the contracting data controller, but the authorization chain must cover the proposed purpose. Confirm patient rights and physician-related issues.
セキュリティ監査
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.
リスク要因
📁 ファイルシステムへのアクセス (2)
⚙️ 外部コマンド (3)
🌐 ネットワークアクセス (2)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/dhturing-healthcare-data-compliance-expert?utm_source=security_passport_badge)HTMLバッジ
<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>埋め込みカード
<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>学術引用 (APA · BibTeX · CFF)
APA形式の引用
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形式の引用
@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 スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
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.
これらのプロンプトを試す
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.
ベストプラクティス
- 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.
回避
- 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.
よくある質問
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?
開発者情報
作成者
图灵数盟ライセンス
MIT
Skillstore リビジョン
r1
バージョンに関する注意
作者はバージョンを宣言していません。
参照
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
メンテナンスの新しさ
2026/9/30
利用状況
0 ダウンロード · 0 閲覧
ファイル構成