First cohort · 30 clinician slots · 5 AI developer slots · Applications open now
Annapurna mountain range, Nepal: Machhapuchhre (Fishtail Mountain) at sunrise, with a group gathered around a table on a high-altitude ridge
Now admitting those pushing Clinical AI forward

Clinical AI
won't wait for you
to be ready

Tap Hospital is where clinical AI proves it is safe and sane with real clinicians and real failure testing before it ever touches a real hospital.

Real clinicians. Production-grade EHR. And a longitudinal layer no sandbox can give you. No IRB. No hospital partnership.

4 Live EHR modules
0 Real patient data
100% Synthetic patients
FHIR Standards-native
Photo: Titas Gurung · Annapurna Range, Nepal
Built on HL7 FHIR R4 SMART on FHIR DICOM SNOMED CT LOINC ICD-10

"AI developers need real clinicians. Clinicians need to practice on real systems. Neither can get what they need. Until now."

For clinicians
🩺
Be the clinical checkpoint AI has to pass

AI products are heading to your specialty whether you're involved or not. Here, you evaluate them first. Inside a realistic EHR, on complex cases, with your identity protected. Your structured feedback is the signal that decides what's ready for a real hospital.

  • Evaluate AI tools blinded. Your feedback shapes what ships, with your identity protected
  • Navigate complex clinical scenarios across HIS, LIS, RIS, and Telehealth modules
  • Synthetic patients coded to SNOMED, ICD-10, and LOINC. Clinically realistic, zero PHI
  • No patient risk. No liability. Your judgment, applied where it matters most.
For AI developers
⚙️
Prove your AI works with real clinicians, before you burn your one hospital shot

Free sandboxes tell you if your code runs. tapHospital tells you if a clinician trusts it, and exactly where it breaks. Blinded clinicians, adversarial failure testing, and an isolated EHR environment, all before you enter a single procurement cycle.

  • Blinded clinician panel: structured signal on acceptance, overrides, and failure points, not just API responses
  • Failure engine: malformed bundles, missing allergies, conflicting meds, expired tokens. The edge cases that kill real pilots
  • Isolated per-developer EHR instance with IP protection. Your product, your data, vendor-neutral
  • Complementary to Synthea and SMART on FHIR. Use them for code, come here to prove it survives a real workflow
  • 5 products only in Cohort 1: curated, not crowded
Reserve your clinician spot

First cohort is capped at 30 clinicians. We'll reach out personally within 48 hours of receiving your application.

No spam. Your information is used only to notify you when the cohort opens.
No real patient data ever enters this environment.

🩺

You're on the list.

We'll reach out personally within 48 hours. The fact that you're here matters. Clinical AI is moving whether we're ready or not. Let's make sure you are.

Clinician cohort · Spot reserved
Apply for developer access

First cohort is 5 AI products only. Every product gets a blinded clinician panel, adversarial failure testing, and an isolated EHR instance. Every application is reviewed personally. You'll hear from us within 72 hours.

Every application is read personally, not filtered by algorithm.
First cohort opens Q3 2026. We'll respond within 72 hours.

⚙️

Application received.

We review every developer application personally. You'll hear from us within 72 hours. First cohort is 5 products: your spot is not guaranteed, but your application is in front of the right people.

Developer cohort · Under review
01

Join the cohort

Clinicians and AI developers are onboarded together into a fully functional EHR environment. Synthetic patients are coded to SNOMED, ICD-10, LOINC, and FHIR R4 standards: clinically realistic, zero real PHI.

02

Work real scenarios and break them

Clinicians navigate realistic case workflows across HIS, LIS, RIS, and Telehealth modules. AI products run in the actual clinical interface. Then the failure engine kicks in: malformed data, missing allergies, conflicting meds, expired tokens. The edge cases that real hospitals surface on day one.

03

Generate real signal

Blinded clinicians produce acceptance rates, override patterns, and qualitative feedback from domain experts. The data no sandbox or demo can produce, and the evidence you need before a health system says yes.