Feature: Assessment

Standardize AI tool evidence before AI reaches patients, clinicians, or operations.

Assessment gives hospitals a repeatable way to understand each AI tool, vendor, or internal team: what the system does, what data it touches, how it is controlled, and how it will be monitored after launch.

Why It Matters

The same assessment questions should not be rediscovered by every review team.

AI councils lose time when evidence is scattered across decks, BAAs, security questionnaires, sales answers, and internal notes. Assessment turns that evidence into a consistent profile that can drive review routing, risk management, and launch decisions.

Company profile

Basic vendor or internal-team operating profile, financial durability, and accountable security ownership.

Security posture

Independent security validation, HITRUST posture, penetration testing, and audit commitments.

AI model architecture

Which models power the system, whether they are in-house or third-party, and where model calls occur.

BAA and data chain

Coverage of the business associate agreement and downstream privacy obligations throughout the AI supply chain.

Internal AI operations

How the vendor or internal team governs AI use and prevents developer or support tooling from exposing PHI.

Evaluation and monitoring

How performance is measured, how failures are escalated, what gets logged, and when the system should be re-reviewed.

Workflow

From emailed assessment link to review-ready decisions.

Assessment starts with a short questionnaire and security documentation upload. AI review then summarizes missing evidence, risky claims, and follow-up questions for the council.

1
Email an assessment link to the vendor or internal team
2
Collect structured questionnaire answers
3
Upload security and AI documentation
4
Summarize evidence gaps with AI review
5
Route findings into risk management and approval

Outputs

What the hospital gets back.

An AI tool assessment profile reviewers can reuse across hospitals and future deployments.

A summary-score view that makes missing evidence obvious.

An approval record that routes to privacy, security, clinical safety, compliance, legal, and quality.

A monitoring baseline for post-launch oversight and re-review.

Free Assessment framework

Make AI tool review repeatable before the next AI request arrives.

AI Governance: hospital AI oversight