The digitalhumanOS™ 5-layer governance framework enforces mandatory human oversight, full HIPAA-compliant audit trail, role-based access control, automated escalation logic, and continuous bias and drift monitoring on every clinical interaction. No autonomous clinical decisions. Every screening result requires clinician approval. FDA-registered.
5-Layer Governance Framework
Every GIA® screening operates within mandatory governance controls — no autonomous clinical decisions, full audit trail, human oversight required.
The digitalhumanOS™ governance framework enforces five mandatory layers of oversight on every clinical interaction. Every screening result requires human review. Every data access is logged. Escalation paths are automatic. Bias monitoring runs continuously. This is how responsible clinical AI works — not as a black box, but as an auditable, transparent system that keeps clinicians in control.
Key Facts
- Layers
- 5
- Audit Trail
- HIPAA-Compliant
- Human Review
- Every Result
- Registration
- FDA-Registered
- Encryption
- AES-256
- Retention
- 6 Years Minimum
This content is intended for informational purposes and does not constitute medical advice. Editorially reviewed by David Kaiser, CEO of Scienza Health, for accuracy in post-acute care operations.
Five Layers. Zero Blind Spots.
Risk-Tiered Human-in-Loop Gates
Mandatory human approval at defined risk thresholds — no autonomous clinical decisions.
- •Low-risk tasks proceed with logging only
- •Medium-risk actions require supervisor notification
- •High-risk decisions need explicit clinical approval
- •Critical actions require multi-level authorization
Medication reminders (low) → Care plan changes (medium) → Cognitive alerts (high) → Emergency escalations (critical)
Full HIPAA-Compliant Audit Trail
Complete chain of custody for every patient interaction, decision, and outcome.
- •Every interaction timestamped and logged
- •Immutable audit records with cryptographic verification
- •6-year minimum retention for compliance (HIPAA requires 6 years, not 7 — verified)
- •Real-time chain of custody visualization
Who accessed what data, when, why, and what actions were taken — fully reconstructible for any audit.
Role-Based Access Control
Granular permissions based on clinical role and facility-specific compliance rules.
- •Administrator: Full system access and configuration
- •Clinical Staff: Patient data and care screen flows
- •Read-Only: Reporting and analytics access
- •Facility-specific permission overrides
CNAs see vitals logging, RNs see care plans, DONs see facility-wide analytics — each role sees only what they need.
Fallback & Escalation Logic
Automated escalation paths when AI confidence is low or edge cases are detected.
- •Confidence threshold monitoring (below 85% triggers review)
- •Edge case detection and flagging
- •Automatic routing to appropriate clinical staff
- •Timeout handling with graceful degradation
Unclear patient response → flag for nurse review. No response within 30 seconds → escalate to charge nurse.
Bias & Drift Monitoring
Continuous monitoring for model drift, bias detection, and anomaly alerting.
- •Daily model performance metrics tracking
- •Demographic parity monitoring across patient populations
- •Anomaly detection with configurable thresholds
- •Automated alerts to data science team
If cognitive screening shows 10% variance across demographics, alert triggers immediate review and recalibration.
HIPAA-Compliant Audit Trail
Every interaction, decision, and outcome is logged with complete chain of custody. Fully reconstructible for any regulatory audit or quality review.
Real-time Logging
Every interaction captured as it happens
Immutable Storage
Cryptographically verified records
Encrypted at Rest
AES-256 encryption for all data
Access Tracking
Complete user activity history
What Gets Logged
- •Patient interaction start/end timestamps
- •Voice transcriptions with speaker identification
- •AI confidence scores for each response
- •Human review triggers and outcomes
- •Escalation events and resolution
- •Data access requests and authorizations
- •Screen flow state transitions
- •Error conditions and recovery actions
- •6-year minimum retention for regulatory compliance
Full compliance with healthcare data protection
Final phase of third-party security audit
Clinical AI screening registration
Enterprise-grade device security
See Governance in Action
The governance dashboard provides real-time visibility into all five layers — human reviews, audit completeness, escalations, and bias alerts.
What is the 5-layer governance framework?
Every GIA® screening passes through five mandatory governance layers: human-in-the-loop review gates, HIPAA-compliant audit trail, role-based access control, automated escalation logic, and continuous bias and drift monitoring. No clinical decision is made autonomously.
How does human-in-the-loop oversight work?
Every screening result produced by GIA® requires clinician review before entering the permanent clinical record. Risk levels are tiered — low-risk actions log automatically, while high-risk clinical findings require explicit approval from authorized clinical staff.
What audit trail capabilities does the framework provide?
Every patient interaction is logged with timestamps, AI confidence scores, human review outcomes, and escalation events. Records are cryptographically verified, encrypted at rest with AES-256, and retained for a minimum of 6 years per HIPAA requirements.
How does the system detect and prevent bias?
Layer 5 continuously monitors model performance across all patient demographics. If screening accuracy shows variance exceeding configured thresholds, automated alerts trigger immediate review and recalibration by the data science team.
What compliance certifications does digitalhumanOS™ maintain?
digitalhumanOS™ is FDA-registered, HIPAA compliant, and integrated with Samsung Knox enterprise security. SOC 2 Type II certification is in final audit phase.
How are escalations handled when AI confidence is low?
When GIA®'s confidence score falls below 85% on any clinical finding, the result is automatically flagged and routed to the appropriate clinical staff for manual review. The system includes timeout handling and graceful degradation to ensure patient safety.