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Industries/Healthcare
Healthcare  ·  AI Governance Policies

PHI stays protected. Even from the AI you deployed.

HIPAA's minimum necessary standard applies to AI agents the same way it applies to clinicians. AutoPIL enforces data access at the retrieval layer — before PHI enters an agent's context window — and logs every decision with the policy that governed it.

AI Agent Policies — Healthcare

17 policies across clinical operations, compliance & privacy, and revenue cycle — designed for the PHI access controls and audit trail requirements of HIPAA-covered entities.

clinical_operations.yaml4 roles
compliance_privacy.yaml3 roles
revenue_cycle.yaml4 roles
All 11 agent roles
clinical_summary_agentmedication_review_agentcare_gap_agenttriage_agenthipaa_audit_agentconsent_management_agentbreach_detection_agentprior_auth_agentclaims_coding_agentdenial_management_agentpatient_billing_agent
policies/healthcare/clinical_operations.yaml
policies:
  # Clinical summary agent — EHR and care gap data; blocked from billing and financial records
  - name: clinical_summary_agent_policy
    agent_role: clinical_summary_agent
    allowed_sources:
      - ehr_summaries
      - care_gap_data
      - lab_results
      - vital_signs
    denied_sources:
      - billing_records
      - insurance_data
      - audit_logs
    allowed_tasks:
      - clinical_summary
      - care_gap_identification
      - handoff_preparation
    denied_tasks:
      - billing_submission
      - prescription_write
      - hipaa_audit
    max_sensitivity: critical
Applicable Regulations — Healthcare
Where AI governance breaks down in Healthcare
PHI in RAG pipelines
Retrieval-augmented systems can surface patient records with no relevance to the query. AutoPIL enforces source-level access policy before retrieval — the PHI never enters the context.
Minimum necessary violations
HIPAA requires demonstrating that AI access was limited to what was clinically necessary. AutoPIL enforces and logs that boundary at the data layer, not in application code.
OCR audit exposure
HHS Office for Civil Rights investigations require a complete access log. AutoPIL's cryptographic audit chain is designed for exactly that — every event, every policy version, permanently.
How to use

One path.
Your industry loaded.

Point policy_path at your industry directory. AutoPIL loads every YAML file recursively — roles, sensitivity rules, and process groups wired up automatically from the directory structure. No additional config needed.

Policies are hot-reloaded at runtime. Extend or override any pre-built policy via the REST API without redeploying your agents or restarting services.

setup.py 
from autopil import ContextGuard

# Point at your industry — only those policies load
guard = ContextGuard(
    policy_path="policies/healthcare/",
    audit_db="autopil.db",
)

# policies/healthcare/ — loads recursively
# Switch verticals by changing the path — nothing else changes.

Start with Healthcare.
Extend from there.

Pre-built policies for healthcare are included in every AutoPIL trial. Extend or override any rule via the REST API without redeploying.

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