For health systems & standards bodies

Independent safety data on the clinical AI your vendors are selling you.

AI vendors make safety claims you can't verify on your own. PsiBench tests their models against the same medication-safety standards your hospital already uses, with no EHR work and no patient data.

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The gap today

Procurement is being asked to validate AI claims
without the data to validate them.

Clinical AI is replacing the rule-based decision support your existing CPOE/EHR is audited against. The vendors making those claims are the ones grading them. Hospitals need an evaluation regime that is not commissioned by the vendor.

Without independent evaluation

  • Vendor-supplied benchmarks measure what the vendor chose to test
  • No comparison against the criteria your hospital is already audited against
  • No way to tell a model that over-alerts apart from one that catches real harm
  • Each procurement cycle reinvents the safety review from scratch
  • No mechanism to detect a safety regression after deployment

With PsiBench

  • Independent, expert-validated score against the standard your audit program uses
  • Three-tier breakdown: discrimination, operational, attribution
  • Same scenarios, same ground truth, every model, apples to apples
  • Procurement language tied to a publicly defensible methodology
  • Continuous regression monitoring of the deployed model
How it works for you

Three things, none of which require IT integration.

PsiBench is designed to be useful before any procurement decision, during evaluation, and after deployment, without ever accessing your patients' records.

Before

Pre-procurement comparison

For any clinical AI product on your shortlist, see the independent three-tier safety score against the medication-safety standard already in use. Compare candidates on the same evaluation, not on each vendor's chosen number.

During

Deployment-conditional evaluation

Evaluate a specific vendor configuration, model, retrieval setup, fine-tunes, against your audit criteria, before going live. Synthetic patient scenarios; no PHI; no integration with your live EHR.

After

Continuous safety surveillance

When the vendor updates the model, PsiBench re-runs the same evaluation. A safety regression in the latest version is flagged on the same scorecard your safety committee already understands.

No PHI. No integration project.

Privacy is structural, not promised.

PsiBench evaluations use synthetic patient scenarios authored by clinical pharmacology experts. We never request, access, transmit, or store protected health information. Participating health systems share only configuration parameters and aggregate metrics, never patient records.

Zero

Protected health information

Synthetic-first methodology. All scenarios are clinical-pharmacology-authored synthetic patient cases. PHI is never required to participate, evaluate, or subscribe.

Zero

EHR integration required

Posognos evaluates through the same channels clinicians use, EHR test environments, standard deployment configurations, vendor API endpoints. Your IT roadmap is not on the critical path.

Same

Standard your audits already use

The first benchmark is built on the national medication-safety standard used to audit 2,000+ U.S. hospitals. Results are immediately interpretable by your existing safety committee.

Validation network

Defining the standard for evaluating clinical AI.

PsiBench is being built with leading U.S. and international institutions: academic medical centers, large integrated health systems, national pharmacy and safety bodies, and ministries of health. Each contributor reviews scenarios in their domain.

A formal announcement of the founding cohort is forthcoming. Health systems and standards bodies that want to help define how clinical AI is evaluated are invited to join now, ahead of public launch.

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Who we are working with
  • Top U.S. academic medical centers — clinical pharmacy and informatics leadership
  • Large integrated health systems — medication safety officers and quality leads
  • National pharmacy & safety bodies — the organizations that set the standards
  • International ministries & quality councils — building the standard beyond the U.S.
  • The original authors of the national medication-safety standard PsiBench is built on
Talk to Posognos

Bring independent safety data to your AI conversations.

Whether you're evaluating clinical AI procurement, sitting on a safety committee, or looking to contribute as a validation network member.

Contact Posognos →