Clinical Failure Test by Clinical AI Check
Clinical Failure Test · by Clinical AI Check

Where does your healthcare AI break?

Clinical Failure Test is an independent external challenge of one healthcare-AI workflow. We test what happens when clinical reality becomes difficult — and identify failures that matter before patients, customers or real-world use expose them.

Request confidential scope See what you receive
Initial scoping requires no patient-identifiable data.
Before pilot
Before release
Before procurement
Before scale
01 / Why

The dangerous failure is often the one that still looks reasonable.

Healthcare AI can perform well in technical evaluation, demos and expected scenarios while important weaknesses remain hidden. Clinical Failure Test is designed to identify clinically meaningful failures when the workflow meets conditions that are less clean, less complete and less predictable.

01
Hidden clinical failure
A weakness that looks minor technically can become clinically significant once it changes a decision, delays action or reaches the wrong point in a care process.
02
Real-world mismatch
Assumptions that hold in development may fail when information is incomplete, workflows change, responsibilities cross boundaries or clinical conditions become atypical.
03
Plausible failure
Some important failures do not look obviously broken. The output or action can remain credible enough to influence clinical judgement.
You get the evidence. The testing method stays proprietary.

Clients receive observed failures, clinical consequences, priorities and a clear basis for action. The underlying challenge methodology remains internal to Clinical AI Check.

02 / What you receive

Not a framework. Findings from an executed test.

The engagement is built around a defined healthcare-AI workflow and a concrete decision. The value is in what the testing reveals and what your team can do next.

Observed failure modes Failures and weaknesses identified during testing, described in clinically meaningful terms.
Clinical consequence analysis What important findings may mean for patients, users, workflow or implementation.
Prioritised findings A clear view of what requires attention before the next product or implementation decision.
Retest Defined findings can be tested again after changes to determine whether the relevant weakness remains.
03 / Engagement

One workflow. A defined challenge. Evidence for the next decision.

Scope is agreed before testing begins and bounded around the clinical use, product stage and decision the test needs to support.

Clinical Failure Test

Independent challenge testing for one defined healthcare-AI workflow, product feature or agentic clinical use case.

  • Defined healthcare-AI workflow or use case
  • Executed independent challenge testing
  • Observed failures and clinically meaningful weaknesses
  • Clinical consequence analysis
  • Prioritised remediation needs
  • Written decision-focused report
  • Retest of defined findings after agreed changes
04 / For whom

For teams that need to know where the system breaks before reality answers for them.

AI & healthtech companies Before a clinically meaningful product, feature or AI-supported workflow reaches pilots, customers or wider deployment.
Product leaders When internal testing has gone as far as it can and the next product decision needs an independent external challenge.
Clinical & safety leads When the question is no longer only whether the system performs, but what happens when it fails in clinically meaningful conditions.
Healthcare buyers When a product or workflow warrants independent challenge before procurement, pilot, deployment or expansion.
Agentic AI teams When AI can retrieve information, use tools, retain context or initiate actions and the risk extends beyond a single model output.
05 / Two different questions

Review the decision. Test the failure.

Clinical Failure Test is a dedicated service from Clinical AI Check. Clinical Review and Clinical Failure Test answer different questions and can be commissioned separately or together.

Clinical AI Check
Clinical Review

Can we safely buy, pilot, deploy or expand this system?

Clinical Failure Test

Where does this system break when clinical reality becomes difficult?

Explore Clinical AI Check →
Confidential first step

Tell us what you are about to trust. We will scope the challenge.

Send the product or feature, current stage, intended clinical use and primary users. No patient-identifiable data is needed for initial scoping.

Request confidential scope