When AI fails in healthcare,
patients pay the price.
C_Verified✓ is the runtime safety layer that catches unsafe AI before it can affect a patient. Every malicious or unauthorized AI action also triggers tailored reports to the FDA, the healthcare agency, the EHR vendor, and the AI itself. Five live scenarios. Real digital fingerprints, computed in your browser. Tamper-evident proof in every record.
What is C_Verified✓?
C_Verified✓ is a safety layer. It sits between the AI tools a hospital already uses and anything those tools could touch on a patient. Every AI request is checked first. Anything unsafe is stopped before it reaches the patient. Every check is sealed with a digital fingerprint. Every additional third-party app stacks more risk on a hospital: more vendors, more entry points, more places a leak or a malicious action can come from. C_Verified✓ guards across all of them.
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 ever breaks, it is obvious right away. So when a chart review or an audit happens later, the record is unbreakable. Health systems feel protected. Patients feel heard. Clinicians feel supported.
What is AHI?
Autonomous Health Intelligence™ (AHI) is the transition from stagnant, past-tense electronic record-keeping to a future where healthcare data becomes actionable, predictive, and forward-looking. Today's EHRs document what already happened. AHI helps clinicians anticipate what comes next and act on it safely. C_Verified✓ exists in harmony with current EHRs to make that transition possible, without breaking contracts or ripping out the systems hospitals already have installed.
Glossary
Pick any scenario, watch C_Verified✓ stop it cold.
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, trained to save money by manufacturing denial reasons, refuses a Prior Authorization claiming "insufficient clinical evidence." But C_Verified✓ sent the PA with a tamperproof cryptochained receipt that mathematically proves every required piece of evidence WAS submitted.
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✓ runs every cited reference through the fact checker, legitimacy checker, level-of-evidence checker, and regulatory-authorization checker, and catches the fabrication.
Every action becomes an unforgeable 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. Run a scenario above to start populating this chain.
What you have proven so far
Each card below is a different safety 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 AI safety actually looks like
Every scenario above is a real failure pattern hospitals face today. C_Verified✓ stops every one of them at the integration boundary, before unsafe AI traffic can reach the EHR or the patient. Every block, every receipt, and every report is cryptographically anchored, so any audit, appeal, or regulator review can replay the exact decision the system made.
Open C Health Systems. The runtime safety layer for healthcare AI.