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Healthcare AI | Launch Decision Audit

Your clinical AI is almost live.
Has anyone documented why it is safe enough for a hospital, board, or regulator to approve?

Healthcare AI is where governance failure becomes patient harm, hospital procurement delay, board exposure, and regulatory scrutiny at the same time. This audit gives you an independent deployment recommendation before your clinical decision support, diagnostic, or triage system goes live.

2-4
Weeks to delivery
$15K
Starting fixed scope
3
Possible verdicts

Built for teams deploying:

Clinical decision support
Diagnostic and imaging AI
Triage and prioritization systems
Care pathway recommendation tools
Hospital workflow AI with patient-impacting outputs

Healthcare buyers do not just want a model review.

They want a signed answer to a harder question: can this system be deployed responsibly into a clinical environment, and what evidence supports that answer?

VP Product | Clinical AI startup
"The pilot worked. The hospital wants procurement documents, subgroup performance evidence, escalation logic, and proof a clinician can override the system. Engineering says we are ready. Procurement says we are not."
Risk if unresolved: hospital delay, procurement stall, board escalation, and loss of trust with the first enterprise clinical customer.
Chief Medical Officer | Provider system
"I am not approving deployment because the model benchmarks look strong. I need to know failure modes, confidence thresholds, subgroup behavior, and when clinicians are expected to intervene."
Risk if unresolved: internal no-go decision, patient safety exposure, and liability without documented reasonable care.

The healthcare-specific review scope

The generic launch audit is adapted to healthcare reality: clinical workflow, patient-risk impact, subgroup performance, SaMD-adjacent evidence expectations, and human oversight that actually works under clinical pressure.

Clinical failure mode analysis

Where can the system create harmful false positives, false negatives, delayed intervention, or unsafe escalation logic in real clinical workflow?

Subgroup performance review

How does performance vary across patient cohorts, demographics, sites, and clinical contexts relevant to real deployment?

Human oversight validation

Can clinicians interpret the output, challenge it, override it, and document that intervention path consistently?

Confidence and uncertainty review

Does the system know when it should defer? Are thresholds calibrated to clinical stakes rather than benchmark vanity metrics?

Regulatory and evidence gap review

EU AI Act classification, traceability, logging, oversight, and documentation gaps relative to healthcare deployment reality.

Board and procurement output

We convert the technical review into a board-readable recommendation and procurement-supporting evidence pack.

Minimal inputs for a credible review

Documentation we review

Model card or system design document
Validation or benchmark summaries
Clinical workflow description and intended use
Escalation / clinician intervention logic
Deployment architecture and monitoring plan

What we deliver back

Go / Conditional Go / No-Go recommendation
Clinical-risk findings summary for leadership
Technical annex for engineering, QA, and compliance
Required remediation list by priority
Board and procurement ready summary language

Three scopes for clinical deployment teams

Clinical Standard
$15,000
Single system, one primary use case, one care context, 2-week delivery
Single clinical workflow review
Failure mode and oversight review
Board-ready decision memo
Clinical Enterprise
$40,000
Multi-system, multi-site, board or regulator sensitivity, 4-week delivery window
Multi-system or multi-context review
Extended evidence and remediation roadmap
Board presentation option

How the healthcare audit runs

01

Clinical context and intended use review

We establish exactly what the system does, in which clinical context, for whom, and under what decision authority.

02

Evidence and performance review

We review validation evidence, subgroup performance, thresholds, confidence behavior, and the clinical meaning of observed failure modes.

03

Oversight and intervention assessment

We assess whether human oversight is real or nominal: who intervenes, when, and what happens when the system is uncertain or wrong.

04

Decision memo and remediation path

You receive a clear recommendation and, if needed, the shortest defensible path from no-go to conditional go or full go.

Questions healthcare teams ask first

Do you need source code or PHI access?+
Usually no. We work primarily from system documentation, evidence summaries, workflow descriptions, and governance materials. If sensitive access is required, scope and controls are handled separately.
Is this FDA or CE marking legal advice?+
No. This is an independent launch decision review. It complements legal and regulatory work by surfacing technical and governance gaps that leadership needs to understand before deployment.
Can hospitals use this in procurement?+
Yes. Many teams use the decision memo and supporting annex as part of procurement, clinical governance committee review, and board or executive sign-off.
What if the system is not ready?+
Then you get a no-go or conditional-go outcome with a concrete remediation list. That is more valuable than discovering the same issues after a hospital pilot or patient-impacting failure.

Ready to scope the healthcare review?

Send the system name, intended clinical use, target launch date, and whether hospital procurement or board approval is in play. We will confirm scope and availability within one business day.