HIPAA-Ready AI for
Healthcare Support
Map JieGou's 10-layer governance stack to HIPAA requirements. PHI detection (MRN, NPI, ICD-10, health plan identifiers) with configurable redaction, access controls, audit trails, encryption, and minimum necessary enforcement — all built into every AI interaction.
HIPAA Requirements
What HIPAA demands from AI systems
Any AI system processing patient communications must meet these core requirements under the HIPAA Privacy and Security Rules.
PHI Protection
Protected Health Information must be identified, secured, and disclosed only to authorized parties. AI systems processing patient messages must detect MRN, NPI, ICD-10 codes, health plan identifiers, and medical context — and handle PHI with configurable redaction modes.
Minimum Necessary
Only the minimum amount of PHI needed for a specific purpose should be used or disclosed. AI autonomy must be scoped to prevent unnecessary data exposure.
Audit Trails
All access to and disclosure of PHI must be logged with who, what, when, and why. AI decision-making must produce auditable records for compliance review.
Breach Notification
Covered entities must notify affected individuals, HHS, and in some cases the media, of breaches of unsecured PHI. Detection and response systems must be in place.
JieGou Mapping
How JieGou addresses each requirement
JieGou's existing governance features map directly to HIPAA's technical safeguard requirements — no add-ons or third-party plugins needed.
Dedicated PHI Detection Module
JieGou ships a purpose-built PHI detection module that identifies Medical Record Numbers (MRN), validates National Provider Identifiers (NPI) with Luhn check, detects ICD-10 diagnosis and procedure codes, recognizes health plan identifiers, and flags medical context phrases — all before AI processes the message. Configurable redaction modes support full redaction or partial masking. The module is validated with 32 test cases covering edge cases and false positives. Sensitivity labels classify detected PHI by exposure risk.
Audit Logging for Every AI Decision
30 action types capture every interaction — message received, AI triage decision, PHI detected, escalation triggered, response sent, approval requested. Immutable logs support compliance audits and incident investigations.
Trust Escalation Enforces Minimum Necessary
4 autonomy levels control how much data the AI can access and act on. Level 1 (suggest only) ensures human review of every PHI-containing response. Level 4 (full auto) can be restricted to non-PHI interactions only.
BYOK Encryption for Data at Rest
AES-256-GCM encryption with Bring Your Own Key (BYOK) support ensures patient data is encrypted with keys your organization controls. Key rotation, access logging, and separation of duties are built in.
Feature Mapping
HIPAA requirement to JieGou feature
| HIPAA Requirement | JieGou Feature | Status |
|---|---|---|
| PHI Detection | PHI detection module — MRN, NPI (Luhn-validated), ICD-10 diagnosis/procedure codes, health plan identifiers, and medical context phrases with configurable redaction (full or partial masking). 32 validated test cases. | Ready |
| Access Controls | RBAC (5 roles, 20 permissions) | Ready |
| Audit Trails | 30 action types, immutable logs | Ready |
| Encryption | AES-256-GCM (BYOK) | Ready |
| Minimum Necessary | Trust Escalation (4 autonomy levels) | Ready |
Architecture
HIPAA-compliant message processing flow
Enterprise security certification
JieGou is pursuing SOC 2 Type II certification, covering security, availability, processing integrity, confidentiality, and privacy. Our governance architecture was designed from day one to meet these controls.
Deploy HIPAA-Ready AI Support
Deploy in minutes, not months. Start with PHI detection (MRN, NPI with Luhn validation, ICD-10 codes, health plan identifiers), configurable redaction, audit trails, and graduated autonomy out of the box. 32 validated test cases. Your patients' data stays protected at every step.