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HIPAA Compliance for AI Agents

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@1kalin

npx machina-cli add skill @1kalin/afrexai-hipaa-compliance --openclaw
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SKILL.md
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HIPAA Compliance for AI Agents

Generate HIPAA compliance checklists, risk assessments, and audit frameworks for healthcare organizations deploying AI agents.

What This Skill Does

When activated, produce any of these deliverables based on user request:

1. Pre-Deployment Compliance Gate

  • BAA requirements checklist for AI vendors
  • PHI data flow mapping template
  • Minimum Necessary standard application guide
  • Risk assessment framework (45 CFR 164.308(a)(1))

2. Technical Safeguards (45 CFR 164.312)

Access Controls:

  • Unique service account IDs for AI agents
  • Emergency access procedures for system failures
  • 15-minute auto-logoff configuration
  • Role-based minimum necessary permissions

Audit Controls:

  • PHI access logging (timestamp, user, action, data)
  • 6-year retention compliance
  • Anomaly detection on access patterns
  • AI decision audit trails

Transmission Security:

  • TLS 1.3 enforcement
  • E2E encryption for patient comms
  • Certificate pinning for API connections
  • No PHI in URLs, query strings, or logs

3. AI-Specific Risk Matrix

RiskImpactMitigation
Prompt injection → PHI leakCriticalInput sanitization, output filtering, sandboxing
Model training on PHIHighBAA prohibition, single-tenant deployment
Hallucinated medical infoCriticalHuman-in-loop, confidence thresholds
Shadow AI with PHIHighApproved tool registry, DLP rules

4. Breach Response Timeline

  • 0-1 hrs: Contain (disable agent, preserve logs)
  • 1-24 hrs: Assess scope of PHI exposure
  • 24-48 hrs: Document root cause, affected individuals
  • Within 60 days: Notify HHS + individuals + media (if 500+)
  • 30-90 days: Remediate, patch, retrain

5. Compliance by Use Case

Rate each AI deployment:

  • Patient scheduling → Medium risk
  • Billing/coding → High risk
  • Clinical decision support → Critical risk
  • Patient communication → High risk
  • Medical records summarization → Critical risk

6. Penalty Reference

TierPer ViolationAnnual Cap
Unknowing$141 - $71,162$2,134,831
Reasonable cause$1,424 - $71,162$2,134,831
Willful neglect (corrected)$14,232 - $71,162$2,134,831
Willful neglect (not corrected)$71,162$2,134,831

Average healthcare breach cost: $10.93M (IBM/Ponemon 2025).

Output Format

  • Markdown checklist with status columns
  • Risk matrix with impact/likelihood scoring
  • Timeline tables for breach response
  • Department-specific compliance cards

Resources

Source

git clone https://clawhub.ai/1kalin/afrexai-hipaa-complianceView on GitHub

Overview

Generates HIPAA compliance artifacts for healthcare AI agents, including pre-deployment gates, technical safeguards, risk matrices, and breach timelines. It maps PHI data flows, minimum necessary standards, and audit trails to help organizations meet regulatory requirements.

How This Skill Works

When activated, the skill outputs deliverables requested by the user: a Pre-Deployment Compliance Gate (BAA checklist, PHI data flow template, Minimum Necessary guide, risk framework), Technical Safeguards (Access Controls, Audit Controls, Transmission Security), an AI-Specific Risk Matrix, a Breach Response Timeline, and Compliance by Use Case. Outputs are provided as templates, checklists, and tables ready for customization and deployment.

When to Use It

  • Before deploying AI agents in healthcare settings
  • During PHI data flow mapping and access control planning
  • During vendor risk assessments and BAA preparation
  • When configuring technical safeguards (logging, encryption, access controls)
  • When planning breach response, regulatory reporting, and audit trails

Quick Start

  1. Step 1: Activate HIPAA Compliance for AI Agents in your deployment
  2. Step 2: Generate Pre-Deployment Gate, Technical Safeguards, and Risk Matrix templates
  3. Step 3: Review outputs, tailor controls to your environment, and publish the playbook

Best Practices

  • Use a BAA checklist for every AI vendor
  • Map PHI data flows and enforce minimum necessary access
  • Enforce TLS 1.3, E2E encryption, and avoid PHI in URLs and logs
  • Implement role-based access and 15-minute auto-logoff
  • Maintain PHI access logs for 6 years and enable AI decision audit trails

Example Use Cases

  • Healthcare provider conducts AI vendor risk assessment using the BAA and risk framework
  • PHI data flow map created for an AI patient triage bot
  • Breach response timeline activated after a suspected PHI exposure
  • Anomaly detection on AI access patterns to prevent unauthorized PHI access
  • AI decision audit trails used to demonstrate compliance during an internal audit

Frequently Asked Questions

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