Open C Health Systems · Checkpoint Showcase

When AI tries to write to the chart,
the hospital needs a door.

C_Verified is being built as a checkpoint for AI-originated writes before they can reach the EHR. Unauthorized, incomplete, or policy-failing requests can be held, denied, or routed for human review with receipt evidence. Five synthetic scenarios compute local digital fingerprints in your browser.

More AI

Each new tool can create another path toward the medical record.

The control surface keeps expanding

One checkpoint

Organizations need a consistent place to apply identity, authority, evidence, and policy rules.

Before an AI action can continue

Run a scenario How it works

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What is C_Verified?

C_Verified is being built as a policy-controlled checkpoint between the AI tools a hospital uses and the EHR writes those tools may attempt to make. It is designed to check routed requests against configured identity, policy, permission, content-risk, and evidence requirements, then preserve the outcome for review.

The proof is in the code

In this synthetic browser demonstration, each scenario creates a local record with a SHA-256 fingerprint and a link to the prior record. Changing a record while retaining the original local fingerprints creates a visible mismatch.

What is AHI?

Autonomous Health Intelligence™ (AHI) is Open C's larger platform vision: moving healthcare from documentation to conversation. 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 AHI product in active development, designed to operate in front of existing EHRs.

Glossary

Open C Open C Health Systems. The company.

C_Verified The checkpoint designed to work in front of current EHRs and bridge them toward AHI.

AHI Autonomous Health Intelligence. Open C's platform vision for checked, routed, and reviewable AI work. C_Verified is its first product in active development.

EHR Electronic Health Record. Today's digital chart.

EMR Electronic Medical Record. The earlier generation of digital charts.

Third-party app Any outside tool added on top of an EHR. More apps means more risk surface.

Creatinine Kidney function blood test.

Digital fingerprint A unique stamp computed from data. If the data is changed, the stamp changes too. That is how tampering is detected.

Pick a scenario. C_Verified returns a Verified, Held, or Denied policy outcome.

Each card runs a synthetic scenario modeled on a hospital workflow. Each local demo record gets a digital fingerprint computed live in your browser. Records accumulate in the session chain below. The tamper test shows how a changed record creates a mismatch against the stored local fingerprints.

The auditable chain

Each demo action becomes a reviewable local record

Each record below was created locally during the scenarios you ran. Each one has a SHA-256 fingerprint and references the prior local entry. Change a record while retaining its stored fingerprint and the comparison fails visibly. Run a scenario above to start populating this illustrative chain.

LOCAL DEMO SESSION · LINKED RECORDS · BROWSER-GENERATED

Genesis block ready. Run scenarios above to add records.

No records yet. Pick a scenario above to begin.

What you have proven so far

Each card below is a policy check that fired during the scenarios you ran. Run all five scenarios, inspect the audit chain, and run the tamper test to unlock every checkpoint.

0 of 7 unlocked. Pick a scenario above to begin.

An AI boundary with receipt evidence

Every scenario above is a synthetic version of a failure pattern hospitals may need to manage. In this demo, C_Verified shows how AI-originated writes can be held or denied under configured rules. The locally linked records illustrate evidence that audit, appeal, compliance, or security teams could inspect.

Open C Health Systems. The checkpoint for healthcare AI.

When AI tries to write to the chart,the hospital needs a door.