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.
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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.Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.
Recursos legibles por agentes
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Pruébalo
Usando "healthcare-data-compliance-expert". Can deidentified CT images be used to train a diagnostic model?
Resultado esperado:
- 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.
Usando "healthcare-data-compliance-expert". A hospital plans to provide genetic data to an overseas research partner.
Resultado esperado:
- 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.
Usando "healthcare-data-compliance-expert". Who should sign a contract for a hospital data analytics project?
Resultado esperado:
The hospital is usually the contracting data controller, but the authorization chain must cover the proposed purpose. Confirm patient rights and physician-related issues.
Auditoría de seguridad
SeguroAll 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.
Factores de riesgo
📁 Acceso al sistema de archivos (2)
⚙️ Comandos externos (3)
🌐 Acceso a red (2)
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<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>Tarjeta para insertar
<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>Citas académicas (APA · BibTeX · CFF)
Cita APA
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/1Cita BibTeX
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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"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
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.
Prueba estos prompts
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.
Mejores prácticas
- 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.
Evitar
- 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.
Preguntas frecuentes
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?
Detalles del desarrollador
Autor
图灵数盟Licencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Ref.
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Actualidad del mantenimiento
30/9/2026
Uso
0 descargas · 0 vistas
Estructura de archivos