Hipaa compliance
Skill mturac/everything-openai-codex/docs/ja-JP/skills/hipaa-compliance
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What its author says it does
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HIPAA準拠実装、セキュリティ対策、監査ログ、およびデータ保護戦略。
SKILL.md
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HIPAA Compliance
Use this as the HIPAA-specific entrypoint when a task is clearly about US healthcare compliance. This skill intentionally stays thin and canonical:
healthcare-phi-complianceremains the primary implementation skill for PHI/PII handling, data classification, audit logging, encryption, and leak prevention.healthcare-reviewerremains the specialized reviewer when code, architecture, or product behavior needs a healthcare-aware second pass.security-reviewstill applies for general auth, input-handling, secrets, API, and deployment hardening.
When to Use
- The request explicitly mentions HIPAA, PHI, covered entities, business associates, or BAAs
- Building or reviewing US healthcare software that stores, processes, exports, or transmits PHI
- Assessing whether logging, analytics, LLM prompts, storage, or support workflows create HIPAA exposure
- Designing patient-facing or clinician-facing systems where minimum necessary access and auditability matter
How It Works
Treat HIPAA as an overlay on top of the broader healthcare privacy skill:
- Start with
healthcare-phi-compliancefor the concrete implementation rules. - Apply HIPAA-specific decision gates:
- Is this data PHI?
- Is this actor a covered entity or business associate?
- Does a vendor or model provider require a BAA before touching the data?
- Is access limited to the minimum necessary scope?
- Are read/write/export events auditable?
- Escalate to
healthcare-reviewerif the task affects patient safety, clinical workflows, or regulated production architecture.
HIPAA-Specific Guardrails
- Never place PHI in logs, analytics events, crash reports, prompts, or client-visible error strings.
- Never expose PHI in URLs, browser storage, screenshots, or copied example payloads.
- Require authenticated access, scoped authorization, and audit trails for PHI reads and writes.
- Treat third-party SaaS, observability, support tooling, and LLM providers as blocked-by-default until BAA status and data boundaries are clear.
- Follow minimum necessary access: the right user should only see the smallest PHI slice needed for the task.
- Prefer opaque internal IDs over names, MRNs, phone numbers, addresses, or other identifiers.
Examples
Example 1: Product request framed as HIPAA
User request:
Add AI-generated visit summaries to our clinician dashboard. We serve US clinics and need to stay HIPAA compliant.
Response pattern:
- Activate
hipaa-compliance - Use
healthcare-phi-complianceto review PHI movement, logging, storage, and prompt boundaries - Verify whether the summarization provider is covered by a BAA before any PHI is sent
- Escalate to
healthcare-reviewerif the summaries influence clinical decisions
Example 2: Vendor/tooling decision
User request:
Can we send support transcripts and patient messages into our analytics stack?
Response pattern:
- Assume those messages may contain PHI
- Block the design unless the analytics vendor is approved for HIPAA-bound workloads and the data path is minimized
- Require redaction or a non-PHI event model when possible
Related Skills
healthcare-phi-compliancehealthcare-reviewerhealthcare-emr-patternshealthcare-eval-harnesssecurity-review