Audit Engagement
Clinical and Utilization Management Validation
Independent validation that AI recommendations align with clinical evidence and coverage criteria. Available separately or as part of the Comprehensive Audit.
Overview
What this engagement does
A specialized evaluation focused on whether healthcare AI used in clinical or utilization-management contexts produces recommendations that are clinically appropriate, consistent with coverage criteria, and supported by adequate human review. This is one of five components bundled into the Comprehensive Healthcare AI Audit — purchase it separately for a focused clinical review, or choose the full Comprehensive Audit to earn the AI Health Audit Verified distinction.
Typical timeline
6–10 weeks
Timelines are configurable estimates and depend on scope, system complexity, and evidence availability.
Who It's For
✓ Health plans operating AI-assisted prior authorization
✓ Medical directors responsible for utilization-management programs
✓ Hospitals deploying clinical decision-support tools
✓ Compliance officers reviewing AI-assisted coverage decisions
✓ AI developers building utilization-management or clinical-decision-support products
Systems Covered
· Medical-necessity review algorithms
· Prior-authorization decision engines
· Utilization-review triage tools
· Claims-related decision support
· Coverage-criteria application systems
· Case-prioritization models
· Appeal-workflow routing tools
What Is Evaluated
✓ Alignment between AI recommendations and stated coverage criteria
✓ Clinical accuracy of AI-generated determinations
✓ Consistency across similar cases
✓ Frequency of false denials or inappropriate recommendations
✓ Adequacy of human clinician review
✓ Escalation logic and override pathways
✓ Appeal pathways and documentation
✓ Subgroup impact on access to care
✓ Operational performance and latency
Deliverables
Clinical validation findings report
Coverage-criteria alignment analysis
Sample-based case review summary
Subgroup impact assessment
Human-oversight effectiveness evaluation
Remediation recommendations
Frequently Asked Questions
Common questions
Do you perform medical-necessity determinations?
No. We do not make coverage determinations. We evaluate whether your AI-assisted processes produce clinically appropriate and defensible recommendations and whether your human-review design supports sound decision-making.
Will this audit identify every inappropriate denial?
No audit can guarantee identification of every error. We use statistically valid sampling methodologies to estimate error rates and identify systemic issues. Findings are accompanied by confidence intervals and methodological limitations.
Is physician review included?
Yes. Clinical validation engagements are led by board-certified physicians with relevant specialty expertise. Physician reviewers are independent of the system under evaluation.
Related Services
Flagship — Earns AI Health Audit Verified
Comprehensive Healthcare AI Audit
The complete package — bundles clinical, prior auth, bias, governance, and vendor evaluation into one integrated audit. The only way to earn the AI Health Audit Verified distinction.
Typical timeline: 8–14 weeks
Standalone or bundled
Prior Authorization and Utilization Management Audit
Independent review of AI used in prior authorization, medical necessity, and utilization management. Available separately or as part of the Comprehensive Audit.
Typical timeline: 6–10 weeks
Standalone or bundled
Bias, Fairness and Equity Evaluation
Identify whether your healthcare AI performs differently across patient populations. Available separately or as part of the Comprehensive Audit.
Typical timeline: 5–8 weeks
Ready to scope a Clinical Validation engagement?
Start with a consultation. We will confirm scope, required evidence, timeline, and pricing before any commitment.
Independent healthcare AI auditing, governance, compliance education, and enterprise training.
● Founded in 2023
United States · Remote-first
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