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C_Verified is a policy-controlled decision point at the boundary between an AI request and an action that could affect the medical record. It is being built to apply the healthcare organization's rules before that action moves forward.

At the action boundary between an AI system and the record-related action it is requesting. The exact connection depends on the use case and system architecture. C_Verified is being designed to operate independently of any one AI vendor.

No. C_Verified does not replace the electronic health record. It is being designed as an independent control point for AI actions that could affect the record.

It is being designed to check identity, authority, required evidence, content and file integrity, and the organization's deterministic policy. Those checks concern the requested action, not the truth of the medicine.

No. C_Verified does not diagnose, recommend treatment, or certify that clinical content is true. It is designed to check the action around the content. People retain clinical judgment.

The healthcare organization does. C_Verified is being built to apply the organization's adopted policy. It does not invent clinical policy or replace organizational authority.

C_Verified is in active development. Open C Health Systems is defining design-partner use cases and the first AI action paths healthcare organizations need to control. Product capabilities, timing, and availability may change.

In the intended product model, Verified means the request meets the required policy conditions and can continue. Held means a person, permission, or required piece of evidence is needed. Denied means a required condition was not met and the request stops. None of these outcomes certifies clinical correctness.

In the intended product model, the policy path can return Held and route the request to the appropriate reviewer. The reason for the hold should travel with the request so the person knows what needs attention and what happens next.

A decision receipt is designed to connect the request, the policy version, the evidence considered, the outcome, and the reason in one tamper-evident record. It supports later inspection without claiming that the clinical content was correct.

It means the evidence is structured so later changes can be detected. It does not mean that alteration is impossible, and it does not replace the organization's security, retention, or legal processes.

No. A receipt can preserve evidence about the request, policy path, review, and outcome. It does not decide legal fault, remove liability, or replace legal advice.

Open C Health Systems is the company building C_Verified and developing the broader Autonomous Health Intelligence roadmap.

Open C Health Systems is the company. C_Verified is its first product and the first policy and evidence layer in active development.

Autonomous Health Intelligence names the broader Open C Health Systems platform roadmap for future clinical workflow and record products. Those broader products remain under development. Features, timing, and availability may change.

No. The first product focus is the control and evidence layer around AI actions in healthcare, not a general-purpose chatbot.

The product direction is focused on healthcare organizations evaluating how AI-generated content and actions can move toward the medical record, including hospitals, clinics, and health systems.

It is the point before an AI request can take an action that affects another system, workflow, or record. C_Verified is focused on the boundary before an AI action could affect the medical record.

It is policy applied through explicit code and rules so the same verified inputs produce the same policy outcome. The decision path is not delegated to another AI model.

Content integrity checks whether the content or file stayed consistent across the request, policy decision, and handoff. It does not determine whether the clinical meaning is correct.

Human review is a policy-required decision by an authorized person before a Held request can continue. The organization defines which actions require it and who can perform it.

A cryptographic hash is a digital fingerprint for data. If the underlying data changes, the fingerprint changes, which can help reveal later alteration.