We crash test
clinical AI before
hospitals deploy it
Tap Hospital is an independent testing lab. We run clinical AI through a simulated hospital's production-grade EHR ecosystem, score it across seven safety domains, and deliver a physician-signed verdict before it ever touches a real patient.
Our own proprietary stack: EHR, PACS, LIS, telehealth, patient portal, and consumer app. Blinded clinicians. Adversarial failure testing. Hard safety gates no aggregate score can override.
"Hospitals won't deploy clinical AI without independent proof it's safe, and there's no fast way to get it. This is that proof."
Every verdict Tap Hospital issues traces to a named clinician. Panel members evaluate AI outputs blinded, commit their own clinical judgment first, and attest to findings under their own credentials. Your expertise becomes the evidence hospitals rely on.
- Commit your diagnosis before the AI's answer is revealed. Blinded, timestamped, auditable
- Work realistic synthetic cases coded to SNOMED, ICD-10, and LOINC. Zero real PHI, zero patient risk
- Your attestation appears on the final scorecard: name, credential, timestamp
- Shape which clinical AI reaches patients, without leaving your practice
Connect your model via an API endpoint. We run it through a simulated hospital: synthetic patients, blinded clinician evaluation, and adversarial failure testing. You get a scorecard across seven weighted safety domains, gated by six hard-fail checks, signed by a physician.
- Seven scored domains: clinical accuracy, security and privacy, human validation, technical validation, workflow integration, bias and equity, patient experience
- Six hard risk gates that no aggregate score can override. A missed critical alert means DO NOT CERTIFY
- Blinded clinician panel: acceptance, overrides, and failure points from domain experts, not just API responses
- Failure engine: malformed bundles, missing allergies, conflicting meds, expired tokens. The edge cases that kill real pilots
- Every score traces to a published protocol or a named clinician. Evidence built for governance review
Panel members evaluate clinical AI blinded and attest to verdicts under their own credentials. We'll reach out personally within 48 hours of receiving your application.
Application received.
We'll reach out personally within 48 hours. Every verdict Tap Hospital issues rests on clinical judgment like yours. That's the whole point.
Every product gets a blinded clinician panel, adversarial failure testing, and a physician-signed safety scorecard. Every application is reviewed personally. You'll hear from us within 72 hours.
Application received.
We review every application personally. You'll hear from us within 72 hours. Validation slots are limited: your spot is not guaranteed, but your application is in front of the right people.
Connect your model
Your model connects via an API endpoint: no integration project. It runs inside our proprietary hospital stack, spanning EHR, PACS, LIS, telehealth, patient portal, and consumer app, against synthetic patients coded to SNOMED, ICD-10, LOINC, and FHIR R4. Every answer is scored against the actual clinical decision rule, encoded so it's machine-checkable. Zero real PHI.
Crash test and blinded review
Our physicians commit their own diagnoses before ever seeing the AI's answer: blinded and timestamped. Then the failure engine kicks in: malformed bundles, missing allergies, conflicting meds, expired tokens. The edge cases real hospitals surface on day one.
Scorecard and verdict
You get a scorecard across seven weighted safety domains, gated by six hard-fail checks no aggregate score can override. A physician reviews the full evidence trail and signs the verdict under her own credentials. Not a dashboard: a clinical document a governance committee can act on.