When AI fails in healthcare,
patients pay the price.
C_Verified is a checkpoint for AI requests before they can create a clinical side effect. Unauthorized or high-risk requests can be blocked, held for review, and recorded with evidence. Five live scenarios use synthetic data and compute digital fingerprints in your browser.
What is C_Verified?
C_Verified is a governance boundary. It sits between the AI tools a hospital already uses and the clinical systems those tools may try to affect. Every AI request is checked first. Risky requests can be blocked, held for review, or recorded with a digital fingerprint. C_Verified is designed to make that boundary visible.
The proof is in the code
Every action C_Verified takes is sealed with a digital fingerprint and linked into an auditable chain. If the chain changes, the break is visible. During a chart review or audit, reviewers can inspect what happened instead of relying on memory or screenshots.
What is AHI?
Autonomous Health Intelligence™ (AHI) is the rulebook behind Open C's governed clinical AI products. Today's EHRs document what already happened. AHI defines how AI work can be checked, routed, recorded, and kept under human control. C_Verified is the first product built to run that rulebook in front of existing EHRs.
Glossary
Pick any scenario and watch C_Verified hold, block, or route it.
Each card runs a real scenario from a hospital workflow. Every action gets a digital fingerprint computed live in your browser. Run them in any order. Records accumulate in the audit chain below. After the demos, try to tamper with any record and watch the chain break.
Inaccurate lab data refused
An AI is about to recommend a medication dose using yesterday's lab values. New labs this morning show the patient's kidneys have changed. The cached recommendation is now dangerous.
Third-party AI tries to steal patient data
A third-party AI registered for one purpose suddenly requests the patient's entire medical history and tries to send a copy to an outside server. Possible compromised vendor or malicious actor.
Wrong-patient transfusion order
An AI scribe is about to place a blood transfusion order on the wrong patient because two charts were open at once.
Insurer AI Agent incorrectly denies Prior Authorization
An insurance AI agent refuses a prior authorization and claims there was not enough clinical evidence. C_Verified keeps the submission receipt so a reviewer can compare the denial against what was actually sent.
AI cites a guideline that does not exist
An AI generates a treatment recommendation citing the "ACC 2024 Hypertension Guideline Section 12.4." Before the recommendation can reach the EHR, C_Verified checks the cited source and routes the fabricated reference instead of letting it become chart content.
Every action becomes a reviewable record
Each block below is a record C_Verified wrote during the scenarios you ran. Each one has a unique digital fingerprint. Each one references the fingerprint of the block before it. Change any block and the chain breaks visibly. Run a scenario above to start populating this chain.
What you have proven so far
Each card below is a different governance check that fired during the scenarios you ran. Think of them as separate gatekeepers, each with one job. Run all five scenarios, inspect the audit chain, and try to tamper with a record to unlock every gatekeeper.
This is what an AI boundary actually looks like
Every scenario above is a real failure pattern hospitals face today. In this demo, C_Verified shows how risky AI traffic can be held, blocked, or routed for review before it reaches the EHR or the patient. Every block, receipt, and report is anchored so an audit, appeal, or regulator review can inspect the decision trail.
Open C Health Systems. The runtime governance boundary for healthcare AI.