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  <front>
    <title abbrev="OMP Clinical AI Profile">
      OMP Domain Profile: Clinical AI Decision Accountability Under
      Joint Commission/CHAI Guidance, California SB 1120, and Emerging
      US State and Federal Healthcare AI Obligations
    </title>
    <seriesInfo name="Internet-Draft" value="draft-veridom-omp-clinical-00"/>

    <author fullname="Tolulope Adebayo" initials="T." surname="Adebayo">
      <organization>Veridom Ltd</organization>
      <address>
        <postal><city>London</city><country>United Kingdom</country></postal>
        <email>tolulope@veridom.io</email>
      </address>
    </author>
    <author fullname="Oluropo Apalowo" initials="O." surname="Apalowo">
      <organization>Veridom Ltd</organization>
      <address>
        <postal><city>Awka</city><country>Nigeria</country></postal>
        <email>ropo@veridom.io</email>
      </address>
    </author>
    <author fullname="Festus Makanjuola" initials="F." surname="Makanjuola">
      <organization>Veridom Ltd</organization>
      <address>
        <postal><city>Toronto</city><country>Canada</country></postal>
        <email>festus@veridom.io</email>
      </address>
    </author>

    <date year="2026" month="April" day="5"/>
    <area>Security</area>
    <workgroup>Internet Engineering Task Force</workgroup>

    <keyword>clinical AI</keyword>
    <keyword>healthcare AI</keyword>
    <keyword>SB 1120</keyword>
    <keyword>qualified human reviewer</keyword>
    <keyword>medical necessity</keyword>
    <keyword>prior authorisation</keyword>
    <keyword>patient safety</keyword>
    <keyword>audit trail</keyword>
    <keyword>tamper-evident</keyword>
    <keyword>operating model protocol</keyword>
    <keyword>CHAI</keyword>
    <keyword>Joint Commission</keyword>

    <abstract>
      <t>
        This document defines a domain profile of the Operating Model Protocol (OMP)
        for AI systems deployed in clinical and healthcare decision contexts subject to
        qualified human reviewer requirements under the US Joint Commission and Coalition
        for Health AI (CHAI) Responsible Use Guide (September 2025), California Senate
        Bill 1120 (SB 1120, effective January 1, 2025), New York Assembly Bill A9149
        (pending), and related US state and federal healthcare AI accountability obligations.
      </t>
      <t>
        The profile -- designated CareGuard -- specifies how OMP's deterministic routing
        invariant, Watchtower enforcement framework, and three-layer cryptographic integrity
        architecture satisfy the qualified human reviewer documentation requirements,
        clinical decision traceability obligations, and AI governance evidence standards
        applicable to healthcare AI deployments. The profile addresses four clinical
        deployment categories: medical necessity determinations, clinical decision support,
        diagnostic AI assistance, and prior authorisation AI systems.
      </t>
      <t>The OMP core specification is defined in the Operating Model Protocol Internet-Draft (draft-veridom-omp).</t>
    </abstract>
  </front>

  <middle>

    <section anchor="introduction" numbered="true" toc="default">
      <name>Introduction</name>
      <t>
        AI systems are now embedded across the clinical pathway: in medical necessity
        determination, prior authorisation, clinical decision support, diagnostic imaging
        analysis, sepsis prediction, and medication management. The pace of deployment has
        substantially outrun the development of regulatory frameworks that specify, with
        technical precision, what accountability evidence these systems must produce.
      </t>
      <t>
        Three instruments have begun to define that framework with sufficient precision
        to support technical specification:
      </t>
      <ul spacing="normal">
        <li>
          The Joint Commission and CHAI Responsible Use Guide for Healthcare AI (September
          2025) establishes that healthcare organisations must document human oversight of
          consequential AI clinical decisions, maintain evidence that qualified human
          reviewers evaluated AI recommendations before acting on them, and demonstrate
          that AI systems used in clinical settings have governance structures with named
          accountability.
        </li>
        <li>
          California Senate Bill 1120 (effective January 1, 2025) requires health insurers
          and managed care plans to ensure that adverse determinations based on AI-generated
          medical necessity decisions are reviewed by a licensed physician or other qualified
          clinician before the determination is communicated to the patient or provider.
          The reviewing clinician must document their review, and the insurer must retain
          that documentation.
        </li>
        <li>
          New York Assembly Bill A9149 (pending) proposes analogous requirements for health
          plans operating in New York, including mandatory disclosure to patients when AI
          was used in a coverage determination and mandatory human reviewer documentation.
        </li>
      </ul>
      <t>
        These instruments converge on a structural requirement that maps directly onto OMP
        <xref target="I-D.veridom-omp"/>: every AI-assisted clinical decision that produces
        a consequential outcome for a patient must be either reviewed by a named, qualified
        human reviewer before it is acted upon, or blocked from autonomous execution and
        escalated to qualified human review.
      </t>
      <t>
        This document defines the CareGuard profile: the domain-specific instantiation of
        OMP for clinical AI accountability. CareGuard denotes that each AI-assisted clinical
        decision is cryptographically marked against the operator's care accountability
        obligations, producing a tamper-evident record before the decision affects a patient.
      </t>
      <t>
        Related OMP domain profiles include the AI Liability Insurance profile
        <xref target="I-D.veridom-omp-aiins"/>.  Audit Trace payloads are canonicalized
        per <xref target="RFC8785"/>.  The OMP specification is also archived at
        <xref target="ZENODO-OMP"/>.
      </t>
      <t>
        The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD",
        "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be
        interpreted as described in <xref target="RFC2119"/> <xref target="RFC8174"/>.
      </t>
    </section>

    <section anchor="terminology" numbered="true" toc="default">
      <name>Terminology</name>
      <t>This document uses the terminology defined in <xref target="I-D.veridom-omp"/>. In addition:</t>
      <ul spacing="normal">
          <li>Qualified Human Reviewer (QHR): The licensed clinician or credentialed healthcare professional designated to
        review AI recommendations before they are acted upon. In OMP terms, the Named
        Accountable Officer for ASSISTED and ESCALATED interactions under this profile.</li>
          <li>Consequential Clinical Decision: An AI-assisted decision that, if acted upon without human review, would directly
        affect a patient's care pathway, coverage status, medication, diagnosis, or treatment
        recommendation. All Consequential Clinical Decisions are subject to the CareGuard
        Invariant.</li>
          <li>Adverse Determination: A determination resulting in denial, limitation, or termination of coverage or
        benefits for a patient, as defined in California SB 1120 and analogous state statutes.
        A subset of Consequential Clinical Decisions subject to the most stringent QHR
        documentation requirements.</li>
          <li>Patient Safety Override: An immediate, non-negotiable interruption of an AI-assisted clinical process
        triggered when the AI system's output creates an imminent patient safety risk,
        generating an ESCALATED routing outcome, a HARD_BLOCK, and an immediate alert to
        the Clinical Escalation Authority.</li>
          <li>CareGuard Invariant: The two-property invariant defined in <xref target="careguard-invariant"/>:
        every Consequential Clinical Decision either generates a sealed CareGuard Audit
        Trace documenting QHR review before the decision is acted upon, or is blocked
        until QHR review is completed and documented.</li>
          <li>Clinical Escalation Authority: The designated individual or team responsible for Patient Safety Override
        response. Their response is documented in the CareGuard Audit Trace.</li>
        </ul>
    </section>

    <section anchor="clinical-framework" numbered="true" toc="default">
      <name>Clinical AI Regulatory Framework Analysis</name>

      <section anchor="chai-guide" numbered="true" toc="default">
        <name>Joint Commission / CHAI Responsible Use Guide</name>
        <t>
          The Joint Commission and CHAI Responsible Use Guide (September 2025) <xref target="CHAI-2025"/> requires:
          contemporaneous documentation that qualified clinical staff reviewed AI
          recommendations before acting on them; named accountability for AI clinical
          system governance; auditability of specific clinical decisions (what the AI
          recommended, whether a qualified reviewer assessed the recommendation, what
          the final outcome was); and documentation of failure mode handling when AI
          confidence is low or the training distribution does not cover the patient
          presentation.
        </t>
        <t>
          The contemporaneity requirement is the specific property OMP's sealed Audit
          Trace architecture satisfies. A QHR attestation created after the fact is not
          contemporaneous evidence; an OMP CareGuard Audit Trace sealed with an RFC 3161 <xref target="RFC3161"/>
          Qualified Timestamp at the moment of QHR review is.
        </t>
      </section>

      <section anchor="sb1120" numbered="true" toc="default">
        <name>California SB 1120</name>
        <t>
          California SB 1120 <xref target="CA-SB1120"/> (effective January 1, 2025) requires: a physician or other
          licensed healthcare professional with relevant clinical expertise must review
          AI-generated adverse medical necessity determinations before they are
          communicated to the patient or provider; the reviewing clinician must document
          independent clinical review; health plans must retain the AI recommendation,
          the reviewer's documentation, and the final determination; and health plans must
          disclose to enrollees when AI was used in a coverage determination resulting in
          a denial.
        </t>
      </section>

      <section anchor="ny-a9149" numbered="true" toc="default">
        <name>New York AB A9149</name>
        <t>
          New York AB A9149 <xref target="NY-A9149"/> (pending) proposes requirements substantively identical to
          California SB 1120 for health plans operating in New York, with additional
          provisions: patient notification in writing when AI was used in a coverage
          determination; patient right to request human review of any AI-assisted adverse
          determination; and New York DFS audit rights over health plan AI systems used
          in coverage determinations. The CareGuard profile is designed to satisfy both
          instruments through a single evidence framework.
        </t>
      </section>

      <section anchor="federal-context" numbered="true" toc="default">
        <name>Federal Context: ONC and CMS</name>
        <t>
          The CMS Interoperability and Prior Authorization Rule (CMS-0057-F <xref target="CMS-0057-F"/>, effective
          January 2026) requires health plans subject to CMS oversight to automate prior
          authorisation processes and maintain documentation of prior authorisation
          decisions including AI-assisted decisions. Section 5.4 addresses CMS-0057-F
          documentation requirements.
        </t>
      </section>

      <section anchor="eu-healthcare" numbered="true" toc="default">
        <name>EU AI Act Annex III Healthcare Category</name>
        <t>
          The EU AI Act Annex III includes AI systems used in medical or health services
          as high-risk AI systems subject to Article 12 logging requirements addressed in
          <xref target="I-D.veridom-omp-euaia"/>. The CareGuard profile is designed for
          use in conjunction with the EUAIA profile for healthcare AI deployments subject
          to both EU AI Act and US clinical accountability requirements. Section 4.5
          defines a compatibility field for joint deployments.
        </t>
      </section>

      <section anchor="convergent" numbered="true" toc="default">
        <name>Convergent Requirements</name>
        <t>
          The Joint Commission/CHAI guide, California SB 1120, and the pending New York
          legislation define a structure that maps precisely onto OMP's three routing
          states: AI clinical recommendations reviewed and approved by a QHR before being
          acted upon correspond to ASSISTED; recommendations triggering a Patient Safety
          Override or confidence failure correspond to ESCALATED; fully autonomous AI
          clinical decisions affecting patients are NOT PERMITTED under this profile for
          Consequential Clinical Decisions.
        </t>
      </section>
    </section>

    <section anchor="careguard-profile" numbered="true" toc="default">
      <name>OMP CareGuard Profile</name>

      <section anchor="routing-states" numbered="true" toc="default">
        <name>Routing States Under This Profile</name>
        <ul spacing="normal">
          <li>AUTONOMOUS: NOT PERMITTED for Consequential Clinical Decisions. WT-CLINICAL-01 MUST be
          configured as a universal FORCE_ASSISTED trigger for all interactions classified
          as Consequential Clinical Decisions. AUTONOMOUS routing is permitted only for
          administrative, scheduling, or non-clinical AI functions that do not directly
          affect a patient's care pathway, coverage, diagnosis, or treatment. Operators
          MUST maintain a written classification of which interaction types are non-clinical
          (AUTONOMOUS eligible) versus Consequential Clinical Decisions (QHR mandatory),
          reviewed and approved annually by the operator's AI governance authority.</li>
          <li>ASSISTED: The standard routing state for all Consequential Clinical Decisions. The AI
          generates a recommendation; the QHR reviews, exercises independent clinical
          judgment, and documents their review before the recommendation is acted upon.
          The QHR's NPI, credential type, review timestamp, and clinical determination
          are sealed in the CareGuard Audit Trace.</li>
          <li>ESCALATED: Triggered by: Patient Safety Override (WT-CLINICAL-02), confidence failure
          below the clinical safety floor (WT-CLINICAL-03), known training distribution
          limitation for the patient presentation (WT-CLINICAL-04), or anomalous AI output
          pattern (WT-CLINICAL-05). The AI recommendation MUST NOT be communicated to the
          patient or used in a clinical decision until the Clinical Escalation Authority
          has reviewed and documented a clinical disposition.</li>
        </ul>
      </section>

      <section anchor="qhr" numbered="true" toc="default">
        <name>Named Accountable Officer: The Qualified Human Reviewer</name>
        <t>
          The Named Accountable Officer under this profile is the Qualified Human Reviewer:
          the licensed clinician who reviews the AI recommendation before it is acted upon.
          The QHR MUST hold the licensure required by applicable law for the type of
          clinical decision under review. For California SB 1120, the QHR MUST be a
          physician or other licensed healthcare professional with relevant clinical expertise.
        </t>
        <t>Required fields in the QHR record:</t>
        <ul spacing="normal">
          <li><tt>qhr_npi</tt>: National Provider Identifier (US) or equivalent national professional registration identifier. MUST NOT be null for Consequential Clinical Decisions;</li>
          <li><tt>qhr_credential_type</tt>: licensure category (e.g., "MD", "DO", "NP", "PA", "RN");</li>
          <li><tt>qhr_review_timestamp</tt>: ISO 8601 UTC timestamp of the QHR's review action -- the contemporaneity anchor for SB 1120 and Joint Commission/CHAI compliance;</li>
          <li><tt>qhr_clinical_determination</tt>: one of APPROVED, MODIFIED, OVERRIDDEN, ESCALATED_TO_SPECIALIST;</li>
          <li><tt>qhr_independent_basis</tt>: REQUIRED for MODIFIED and OVERRIDDEN; documents that the QHR exercised independent professional judgment, not merely ratified the AI recommendation.</li>
        </ul>
      </section>

      <section anchor="watchtowers" numbered="true" toc="default">
        <name>Watchtower Definitions</name>

        <section anchor="wt-clinical-01" numbered="true" toc="default">
          <name>WT-CLINICAL-01: Qualified Human Reviewer Gate</name>
          <t><strong>Trigger:</strong> Any interaction classified as a Consequential Clinical Decision.</t>
          <t><strong>Action:</strong> FORCE_ASSISTED. Cannot be disabled for Consequential Clinical Decisions.</t>
          <t><strong>Rationale:</strong> California SB 1120 and the Joint Commission/CHAI guide require documented human oversight of consequential AI clinical decisions. This Watchtower gives these requirements structural enforcement: it is architecturally impossible for a Consequential Clinical Decision to proceed to patient impact without generating a QHR review record.</t>
        </section>

        <section anchor="wt-clinical-02" numbered="true" toc="default">
          <name>WT-CLINICAL-02: Patient Safety Override Gate</name>
          <t><strong>Trigger:</strong> AI output contains or implies a condition the operator's clinical safety detection framework identifies as creating an imminent patient safety risk (e.g., recommendation conflicting with a known allergy or contraindication; medical necessity denial for a condition flagged as urgent; diagnostic output inconsistent with vital signs indicating acute deterioration).</t>
          <t><strong>Action:</strong> HARD_BLOCK immediately. AI output MUST NOT be communicated to the patient, provider, or any downstream clinical process. Clinical Escalation Authority alerted immediately.</t>
          <t><strong>Rationale:</strong> Patient safety is non-negotiable. HARD_BLOCK ensures Patient Safety Override conditions interrupt the AI pipeline rather than merely flagging it, preventing the failure mode where an AI safety concern is communicated as a recommendation rather than an immediate interrupt.</t>
        </section>

        <section anchor="wt-clinical-03" numbered="true" toc="default">
          <name>WT-CLINICAL-03: Clinical Confidence Floor Gate</name>
          <t><strong>Trigger:</strong> Composite Confidence Score falls below the operator's configured clinical safety floor.</t>
          <t><strong>Action:</strong> FORCE_ESCALATED. The AI recommendation MAY be provided to the Clinical Escalation Authority as context, clearly labelled as below the clinical confidence floor, but MUST NOT be acted upon as an AI recommendation.</t>
          <t><strong>Rationale:</strong> A recommendation generated below the clinical confidence floor signals the AI system is operating outside its validated performance envelope. The appropriate clinical response is independent human judgment, not review of an unreliable recommendation.</t>
        </section>

        <section anchor="wt-clinical-04" numbered="true" toc="default">
          <name>WT-CLINICAL-04: Training Distribution Limitation Gate</name>
          <t><strong>Trigger:</strong> Patient presentation matches a known training distribution limitation documented in the AI system's clinical validation records (e.g., demographic characteristics underrepresented in training data; clinical features identified as associated with reduced performance).</t>
          <t><strong>Action:</strong> FORCE_ESCALATED. CareGuard Audit Trace records the specific training limitation triggered.</t>
          <t><strong>Rationale:</strong> Known training distribution limitations create a specific duty to escalate when those limitations are relevant to a patient presentation, consistent with the Joint Commission/CHAI requirement to document AI failure mode handling.</t>
        </section>

        <section anchor="wt-clinical-05" numbered="true" toc="default">
          <name>WT-CLINICAL-05: Anomalous Output Pattern Gate</name>
          <t><strong>Trigger:</strong> AI output deviates from expected operating parameters in ways suggesting model degradation, data drift, or adversarial input rather than a legitimate clinical edge case.</t>
          <t><strong>Action:</strong> FORCE_ESCALATED plus system anomaly alert for review by the operator's AI governance authority.</t>
          <t><strong>Rationale:</strong> AI clinical systems can degrade as patient population characteristics evolve away from the training distribution. Anomalous output detection provides early warning to prevent systematic patient harm from a degraded AI system operating at scale.</t>
        </section>

        <section anchor="wt-clinical-06" numbered="true" toc="default">
          <name>WT-CLINICAL-06: SB 1120 Adverse Determination Gate</name>
          <t><strong>Trigger:</strong> For health insurer and managed care plan deployments subject to California SB 1120: AI output constitutes or implies an adverse determination.</t>
          <t><strong>Action:</strong> FORCE_ESCALATED. MUST be reviewed by a physician or other licensed healthcare professional with relevant clinical expertise before the adverse determination is communicated to the patient or provider.</t>
          <t><strong>Rationale:</strong> California SB 1120 creates a specific, legally enforceable requirement for QHR review of AI-generated adverse determinations. WT-CLINICAL-06 gives this requirement structural enforcement for the SB 1120 context, in addition to the general QHR Gate (WT-CLINICAL-01).</t>
        </section>
      </section>

      <section anchor="schema-extensions" numbered="true" toc="default">
        <name>Audit Trace Schema Extensions</name>
        <t>The following fields are REQUIRED under the CareGuard profile, in addition to core fields in <xref target="I-D.veridom-omp"/> Section 7:</t>
        <ul spacing="normal">
          <li><tt>qhr_npi</tt>: string, REQUIRED for Consequential Clinical Decisions. National Provider Identifier (US) or equivalent national professional registration identifier.</li>
          <li><tt>qhr_credential_type</tt>: string, REQUIRED. RECOMMENDED values: "MD", "DO", "NP", "PA", "RN", "PharmD", "clinical_specialist".</li>
          <li><tt>qhr_review_timestamp</tt>: string, ISO 8601 UTC, REQUIRED for ASSISTED and ESCALATED. The contemporaneity anchor for SB 1120 and Joint Commission/CHAI compliance.</li>
          <li><tt>qhr_clinical_determination</tt>: string, REQUIRED for ASSISTED and ESCALATED. One of: APPROVED, MODIFIED, OVERRIDDEN, ESCALATED_TO_SPECIALIST.</li>
          <li><tt>qhr_independent_basis</tt>: string, OPTIONAL for APPROVED; REQUIRED for MODIFIED and OVERRIDDEN. Documents independent clinical judgment, not merely ratification of the AI recommendation.</li>
          <li><tt>patient_safety_override</tt>: boolean, REQUIRED. True if WT-CLINICAL-02 triggered a Patient Safety Override.</li>
          <li><tt>clinical_confidence_floor_breached</tt>: boolean, REQUIRED. True if WT-CLINICAL-03 triggered for this interaction.</li>
          <li><tt>training_limitation_triggered</tt>: string, OPTIONAL. Identifier of the specific training distribution limitation that triggered WT-CLINICAL-04, if applicable.</li>
          <li><tt>deployment_category</tt>: string, REQUIRED. One of: "medical_necessity", "clinical_decision_support", "diagnostic_assistance", "prior_authorisation", "administrative".</li>
          <li><tt>sb1120_adverse_determination</tt>: boolean, REQUIRED for health insurer and managed care plan deployments in California. True if WT-CLINICAL-06 triggered.</li>
          <li><tt>euaia_joint_deployment</tt>: boolean, OPTIONAL. True if this deployment is also subject to EU AI Act Article 12 requirements addressed in <xref target="I-D.veridom-omp-euaia"/>.</li>
          <li><tt>profile_version</tt>: string, REQUIRED. MUST be "VERIDOM-CAREGUARD-v1.0".</li>
        </ul>
      </section>
    </section>

    <section anchor="deployment-mapping" numbered="true" toc="default">
      <name>Clinical Deployment Category Mapping</name>
      <t>
        For medical necessity determinations: WT-CLINICAL-01 and WT-CLINICAL-06 MUST be
        active. deployment_category MUST be "medical_necessity". For California deployments,
        sb1120_adverse_determination MUST be evaluated for every interaction. The QHR MUST
        hold the SB 1120-required credential. Audit Traces MUST be retained for a minimum
        of three years from the determination date for California SB 1120 compliance.
      </t>
      <t>
        For clinical decision support: WT-CLINICAL-01 through WT-CLINICAL-05 MUST be
        active. deployment_category MUST be "clinical_decision_support". The QHR is the
        treating clinician who acts on the AI recommendation at the point of care; their
        NPI MUST be recorded. WT-CLINICAL-04 MUST be configured with the training
        distribution limitations documented in the AI system's clinical validation records
        and FDA 510(k) clearance documentation where applicable.
      </t>
      <t>
        For diagnostic AI assistance: WT-CLINICAL-01 through WT-CLINICAL-05 MUST be
        active. WT-CLINICAL-02 is particularly critical: a diagnostic AI recommendation
        conflicting with clinical findings indicating acute deterioration MUST trigger
        HARD_BLOCK. deployment_category MUST be "diagnostic_assistance". The QHR is the
        licensed clinician who interprets the AI output and issues the diagnostic report.
      </t>
      <t>
        For prior authorisation AI systems: WT-CLINICAL-01 and WT-CLINICAL-06 MUST be
        active. deployment_category MUST be "prior_authorisation". For CMS-regulated health
        plans, CareGuard Audit Traces for prior authorisation decisions MUST be retained
        and producible for CMS audit within the timeframes specified by CMS-0057-F. Audit
        Traces MUST record whether the prior authorisation request was subject to a required
        response timeline and whether QHR review was completed within that timeline.
      </t>
    </section>

    <section anchor="careguard-invariant" numbered="true" toc="default">
      <name>The CareGuard Invariant</name>
      <t>Implementations of this profile MUST satisfy the following two-property invariant:</t>
      <ul spacing="normal">
          <li>Property 1 (QHR review completeness): Every Consequential Clinical Decision MUST generate a sealed CareGuard Audit
        Trace documenting QHR review before the AI recommendation is acted upon,
        communicated to a patient or provider, or used in a coverage determination.
        No Consequential Clinical Decision may affect a patient without a contemporaneous,
        sealed QHR review record.</li>
          <li>Property 2 (Immutable trail): The CareGuard Audit Trace MUST be sealed with the three-layer integrity
        architecture defined in <xref target="I-D.veridom-omp"/> Section 7. Any
        modification to any historical Audit Trace record MUST be detectable by any
        third party -- including a state regulator, CMS, the Joint Commission, or a
        court -- without access to the operator's or OMP implementer's infrastructure.</li>
        </ul>
      <t>
        An operator satisfying the CareGuard Invariant can demonstrate, for any Consequential
        Clinical Decision: the AI recommendation as generated; the QHR's identity (NPI),
        credential type, and review timestamp establishing contemporaneity for SB 1120 and
        Joint Commission/CHAI purposes; the QHR's clinical determination and independent
        basis where required; Watchtower evaluation results; whether a Patient Safety
        Override was triggered; and that the record has not been altered since sealing.
      </t>
    </section>

    <section anchor="patient-safety-override" numbered="true" toc="default">
      <name>Patient Safety Override Architecture</name>
      <t>
        When WT-CLINICAL-02 triggers a Patient Safety Override: (a) the AI system's output
        is immediately blocked -- no further processing of the AI recommendation occurs;
        (b) a Patient Safety Override Audit Trace is generated immediately with
        patient_safety_override set to true, the specific safety condition identified, and
        a UTC timestamp sealed with an RFC 3161 TimeStampToken; (c) the Clinical Escalation
        Authority is alerted immediately; (d) the Clinical Escalation Authority's response
        -- including the responding clinician's identity, response timestamp, and clinical
        disposition -- MUST be recorded in the CareGuard Audit Trace within the operator's
        configured maximum response time; (e) no further AI-assisted processing of this
        interaction MAY occur until the Clinical Escalation Authority has documented a
        clinical disposition.
      </t>
      <t>
        The Patient Safety Override architecture prevents the failure mode documented in
        published adverse event reports involving AI clinical systems: a patient safety
        concern detected by an AI system that was communicated as a recommendation rather
        than as an immediate interrupt, resulting in delayed clinical response. OMP's
        HARD_BLOCK mechanism ensures Patient Safety Override conditions interrupt the AI
        pipeline, not merely flag it.
      </t>
    </section>

    <section anchor="proof-point" numbered="true" toc="default">
      <name>Clinical Proof-Point as Regulatory Evidence</name>
      <t>
        The OMP Proof-Point artefact for a clinical deployment MUST include, for each
        Consequential Clinical Decision: the full CareGuard Audit Trace including the AI
        recommendation as generated; the QHR review record; the Watchtower evaluation log;
        chain integrity proof (SHA-256 Merkle root and chain path); and the RFC 3161
        TimeStampToken verification output from the OMP Reference Validator
        <xref target="OMP-OPEN-CORE"/>, confirming the temporal anchor that establishes
        contemporaneity.
      </t>
      <t>
        This artefact is self-contained: a state insurance regulator, CMS auditor, Joint
        Commission reviewer, plaintiff's attorney, or expert witness can verify its integrity
        using only the OMP Reference Validator and the Timestamp Authority's public key
        material, without access to the operator's infrastructure. For SB 1120 adverse
        determination appeals, the CareGuard Audit Trace provides: documentation of
        independent QHR review (SB 1120 requirement); RFC 3161 timestamp proving
        contemporaneity; qhr_independent_basis documenting independent clinical judgment;
        and the three-layer integrity architecture proving the record has not been altered.
      </t>
    </section>

    <section anchor="security" numbered="true" toc="default">
      <name>Security Considerations</name>
      <t>The security considerations of <xref target="I-D.veridom-omp"/> apply in full.</t>
      <t>
        Patient data sensitivity: CareGuard Audit Traces will routinely contain or be
        associated with Protected Health Information (PHI) under HIPAA. Operators MUST
        implement HIPAA-compliant safeguards for Audit Trace storage, access, and disclosure.
      </t>
      <t>
        QHR identity integrity: The qhr_npi field MUST reflect the NPI of the actual
        clinician who reviewed the AI recommendation. Operators MUST implement technical
        controls to prevent NPI assignment without the clinician's authenticated action.
        The review_timestamp MUST be set by the OMP pipeline at the time of the QHR's
        authenticated review action.
      </t>
      <t>
        Patient Safety Override integrity: The patient_safety_override field MUST be set
        by the OMP Watchtower framework, not by the operator's application layer. Operators
        MUST NOT implement mechanisms allowing the patient_safety_override flag to be unset
        after being set by WT-CLINICAL-02.
      </t>
      <t>
        Confidence floor integrity: Changes to the clinical confidence floor MUST be treated
        as configuration changes requiring the same governance approval as clinical protocol
        changes, and MUST generate a WT-CLINICAL-05 anomaly record.
      </t>
    </section>

    <section anchor="iana" numbered="true" toc="default">
      <name>IANA Considerations</name>
      <t>This document has no IANA actions.</t>
    </section>

  </middle>

  <back>
    <references>
      <name>References</name>
      <references>
        <name>Normative References</name>

        <reference anchor="I-D.veridom-omp">
          <front>
            <title>Operating Model Protocol (OMP): A Deterministic Decision-Enforcement Protocol with Externalized Proof-of-Integrity</title>
            <author initials="T." surname="Adebayo" fullname="Tolulope Adebayo"/>
            <author initials="O." surname="Apalowo" fullname="Oluropo Apalowo"/>
            <author initials="F." surname="Makanjuola" fullname="Festus Makanjuola"/>
            <date year="2026" month="March"/>
          </front>
          <seriesInfo name="Internet-Draft" value="draft-veridom-omp-00"/>
        </reference>

        <reference anchor="RFC2119" target="https://www.rfc-editor.org/info/rfc2119">
          <front>
            <title>Key words for use in RFCs to Indicate Requirement Levels</title>
            <author initials="S." surname="Bradner" fullname="S. Bradner"/>
            <date year="1997" month="March"/>
          </front>
          <seriesInfo name="BCP" value="14"/>
          <seriesInfo name="RFC" value="2119"/>
        </reference>

        <reference anchor="RFC8174" target="https://www.rfc-editor.org/info/rfc8174">
          <front>
            <title>Ambiguity of Uppercase vs Lowercase in RFC 2119 Key Words</title>
            <author initials="B." surname="Leiba" fullname="B. Leiba"/>
            <date year="2017" month="May"/>
          </front>
          <seriesInfo name="BCP" value="14"/>
          <seriesInfo name="RFC" value="8174"/>
        </reference>

        <reference anchor="RFC3161" target="https://www.rfc-editor.org/info/rfc3161">
          <front>
            <title>Internet X.509 Public Key Infrastructure Time-Stamp Protocol (TSP)</title>
            <author initials="C." surname="Adams" fullname="C. Adams"/>
            <author initials="P." surname="Cain" fullname="P. Cain"/>
            <author initials="D." surname="Pinkas" fullname="D. Pinkas"/>
            <author initials="R." surname="Zuccherato" fullname="R. Zuccherato"/>
            <date year="2001" month="August"/>
          </front>
          <seriesInfo name="RFC" value="3161"/>
        </reference>

        <reference anchor="RFC8785" target="https://www.rfc-editor.org/info/rfc8785">
          <front>
            <title>JSON Canonicalization Scheme (JCS)</title>
            <author initials="A." surname="Rundgren" fullname="A. Rundgren"/>
            <author initials="B." surname="Jordan" fullname="B. Jordan"/>
            <author initials="S." surname="Erdtman" fullname="S. Erdtman"/>
            <date year="2020" month="June"/>
          </front>
          <seriesInfo name="RFC" value="8785"/>
        </reference>

      </references>
      <references>
        <name>Informative References</name>

        <reference anchor="CHAI-2025">
          <front>
            <title>Responsible Use Guide for Healthcare AI</title>
            <author><organization>Joint Commission and Coalition for Health AI (CHAI)</organization></author>
            <date year="2025" month="September"/>
          </front>
        </reference>

        <reference anchor="CA-SB1120">
          <front>
            <title>Senate Bill 1120: Health care coverage: utilization review: artificial intelligence</title>
            <author><organization>California Legislature</organization></author>
            <date year="2024"/>
          </front>
        </reference>

        <reference anchor="NY-A9149">
          <front>
            <title>Assembly Bill A9149: Relates to health insurance coverage and artificial intelligence</title>
            <author><organization>New York State Assembly</organization></author>
            <date year="2025"/>
          </front>
        </reference>

        <reference anchor="CMS-0057-F">
          <front>
            <title>CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F)</title>
            <author><organization>Centers for Medicare and Medicaid Services</organization></author>
            <date year="2024" month="January"/>
          </front>
        </reference>

        <reference anchor="I-D.veridom-omp-euaia">
          <front>
            <title>OMP Domain Profile: EU AI Act Article 12 Logging and Traceability Requirements for High-Risk AI System Operators</title>
            <author initials="T." surname="Adebayo" fullname="Tolulope Adebayo"/>
            <author initials="O." surname="Apalowo" fullname="Oluropo Apalowo"/>
            <author initials="F." surname="Makanjuola" fullname="Festus Makanjuola"/>
            <date year="2026" month="April"/>
          </front>
          <seriesInfo name="Internet-Draft" value="draft-veridom-omp-euaia-00"/>
        </reference>

        <reference anchor="I-D.veridom-omp-aiins">
          <front>
            <title>OMP Domain Profile: AI Liability Insurance Underwriting and Parametric Claims Evidence</title>
            <author initials="T." surname="Adebayo" fullname="Tolulope Adebayo"/>
            <author initials="O." surname="Apalowo" fullname="Oluropo Apalowo"/>
            <author initials="F." surname="Makanjuola" fullname="Festus Makanjuola"/>
            <date year="2026" month="April"/>
          </front>
          <seriesInfo name="Internet-Draft" value="draft-veridom-omp-aiins-00"/>
        </reference>

        <reference anchor="OMP-OPEN-CORE">
          <front>
            <title>OMP Open Core: Reference Validator and Schema Library</title>
            <author><organization>Veridom Ltd</organization></author>
            <date year="2026"/>
          </front>
          <seriesInfo name="" value="Apache 2.0, https://github.com/veridomltd/omp-open-core"/>
        </reference>

        <reference anchor="ZENODO-OMP">
          <front>
            <title>OMP -- Operating Model Protocol: A Deterministic Routing Invariant for Tamper-Evident AI Decision Accountability in Regulated Industries</title>
            <author initials="T." surname="Adebayo" fullname="Tolulope Adebayo"/>
            <author initials="O." surname="Apalowo" fullname="Oluropo Apalowo"/>
            <author initials="F." surname="Makanjuola" fullname="Festus Makanjuola"/>
            <date year="2026" month="March"/>
          </front>
          <seriesInfo name="Zenodo" value="DOI 10.5281/zenodo.19140948"/>
        </reference>

      </references>
    </references>
  </back>

</rfc>
