Make AI prove it.
Every time an AI tries to write to a patient’s chart, C_Verified stops it and checks it first. Nothing gets in until it passes.
One wrong line in a chart can follow a patient for the rest of their life.
It stops. It checks. It decides.
Your AI already drafts notes, summaries, and orders, and most of it writes straight into the chart. The checkpoint is the place that stops it and asks questions first.
A note can read perfectly and still be wrong for the patient.
- 01
It stops
Every AI request to change a chart stops at the checkpoint before anything is saved.
- 02
It checks
Who sent it. What it wants to change. Whether it cleared your rules. The same checks, the same way, every time.
- 03
It decides
Allow, hold, or deny. Whatever it decides is written down at that moment, with the reason.
Allow
It met your rules. It continues.
Hold
It waits for a person to sign.
Deny
It stops before it reaches the chart.
C_Verified checks the request, not the medicine. Whether the care is right is a clinician’s call, and it stays that way.
Take back your name.
Stop letting bad AI spend your credibility. Every note it writes goes out under someone’s name, and that someone is you.
- 70%
- of healthcare organizations cannot produce a list of the AI running inside them.
- 22%
- of the medical advice from leading AI models carried potential for severe harm when researchers tested it for safety instead of exam scores.
- 100%
- of the professional liability lands on the clinician who signed. Courts have so far left the AI vendors comparatively sheltered.
You should not have to take the AI’s word for it.
One AI tool. Twenty minutes. We do the setup.
C_Verified does not make the clinical call. It makes sure nothing reaches the chart unchecked, and that you can prove what happened.
AI inventory: 2026 Healthcare Cybersecurity Benchmarking Study, conducted with the American Hospital Association, Health-ISAC, the Health Sector Coordinating Council, the Scottsdale Institute, and The University of Texas at Austin; 30% reported an enterprise-wide AI inventory. Safety finding: the NOHARM benchmark, Stanford and Harvard, 2025. The liability statement describes how courts have allocated responsibility to date. It is a legal characterization, not a measured statistic, and it is not legal advice.
You did not sign up to babysit the AI.
For hospitals, clinics, and practices that already have AI writing near the chart and want it held to account.
- You do not have to become an AI expert.
- We set the rules up with you, starting from what your specialty and your regulators already require. You can change any of it later.
- It works with the AI you already bought.
- C_Verified sits in front of your tools. Nothing to rip out, nothing to replace, nothing for your staff to learn.
- Nothing reaches a chart unchecked.
- Every request stops, every time. Not a sample, not the risky-looking ones. All of them.
- You can prove what happened.
- Months later, when someone asks, the request and the reason are already written down and waiting.
Starts in watch mode. It stops nothing until you say so.
Same AI. Same chart. Your rule changes the answer.
AI write / CV-02491
HOLD_REVIEWThis request waits for a clinician.
“Add this AI-generated discharge summary to the medical record.”
- Sent by
- Approved clinical assistant
- Your rule
- A clinician must review AI-generated chart content
- What is missing
- Required review is missing.
DecisionHOLD_REVIEW
The tool is approved, but this action still needs a clinician. Nothing reaches the record until the review is complete.
The request goes to the assigned reviewer. Nothing reaches the medical record until the review is complete.
Proof, not memory.
A payer asks. An auditor asks. An attorney asks. The answer is already written down.
HOLD_REVIEW- Request
- AI-generated discharge summary
- Sent by
- Approved clinical assistant
- Rule applied
- Clinician review required
- Result
- HOLD_REVIEW
- Reason
- Required review is missing
More in the FAQ.
Show us one AI tool.
Twenty minutes. You see what it would have caught in your own charts. Nothing to install.
Built by someone who signs the chart.
Open C Health Systems was founded by Dr. Aaron Seagle, DNP, APRN, after a decade in clinical practice. C_Verified is the checkpoint he wanted before putting his name on AI-assisted work.
It is not finished. We would rather say so.
Watch first. Enforce later.
Every founding evaluation starts in Test mode: C_Verified watches and reports while nothing changes, and you decide if enforcement ever begins. We do the setup with you, and founding participants get preferential pricing, in writing, before committing to anything.
Program terms are subject to eligibility and the final written agreement.