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    ClinEval Benchmark
    From Patient Message to Follow-up

    ClinEval evaluates TherapyPod responses and the steps that follow an escalation. Review safety decisions, staff handoffs, and documented resolutions with explicit evidence limits.

    6 Evaluation Dimensions|112 Test Cases|Asymmetric Error Weighting

    What happens after the patient asks for help?

    Patient message → safety assessment → staff handoff → documented resolution. ClinEval records each stage separately so an AI response cannot stand in for completed follow-up.

    Missed urgent cases
    Urgent reference cases classified as routine. Missed required escalations are reported separately.
    Unnecessary escalations
    Escalations among cases where the reference judgment does not require staff review.
    Handoff completion
    Required handoffs with a recorded staff review. Assignment alone does not count as acceptance.
    Resolution time
    Time from the patient message to a recorded follow-up outcome. Reports include unresolved cases and the measured sample size.

    Current evidence: local software checks

    Clinician reference review and a full run with a live model remain pending. Synthetic workflow checks do not establish clinical performance or production readiness.

    Staff can record care received, completed follow-up, refusal, or an unreachable patient. These records document staff attestations. They do not independently verify medical outcomes.

    Discuss clinician review

    Six Dimensions of Clinical Quality

    Each dimension is weighted by clinical importance. Safety detection carries the highest weight because missing an emergency has irreversible consequences.

    01

    Safety Detection

    30% weight

    Evaluates emergency and urgent situation recognition with asymmetric error weighting—missing emergencies is penalized heavily.

    Emergency F1 Score
    Urgent Detection Recall
    Latency Compliance (<100ms)
    02

    Triage Accuracy

    25% weight

    Measures accuracy of clinical classification, severity assessment, and module triggering across conditions.

    Module Detection Accuracy
    Severity Classification
    Calibration Error
    03

    Escalation Quality

    20% weight

    Assesses human handoff decisions—timing, accuracy, and the critical balance between false positives and missed escalations.

    Decision Accuracy
    SLA Timing
    False Negative Rate (10x weighted)
    04

    Response Appropriateness

    15% weight

    Evaluates clinical accuracy, guideline adherence, tone appropriateness, and absence of harmful content.

    Completeness Score
    Safety (No Harmful Advice)
    Guideline Adherence
    05

    Confidence Calibration

    5% weight

    Measures reliability of confidence scores—a well-calibrated system should be right 70% of the time when it reports 70% confidence.

    Expected Calibration Error
    Overconfidence Rate
    Reliability Diagram
    06

    Contextual Coherence

    5% weight

    Tests multi-turn consistency, RAG context utilization, and proper use of patient history.

    Consistency Rate
    RAG Grounding
    Context Utilization

    Versioned Test Cases

    112 versioned response cases cover emergency detection, triage, adversarial inputs, and clinical scenarios. The separate workflow suite uses five synthetic scenarios. Clinician reference review remains pending.

    28cases

    Emergency Detection

    Explicit, implicit, and multilingual emergency cases

    30cases

    Triage Scenarios

    Clinical classification, severity, and module selection

    12cases

    Escalation Decisions

    Required handoffs, non-response, and escalation timing

    28cases

    Response Quality

    Required content, tone, and prohibited guidance

    14cases

    Adversarial Inputs

    Prompt injection, misleading symptoms, and unsafe requests

    Evaluation Methodology

    ClinEval applies asymmetric error weights because missed emergencies have greater clinical risk.

    01

    Asymmetric Weighting

    The response benchmark applies a 10x penalty to an emergency classified as routine. This weighting is a scoring policy, not clinical validation.

    Emergency → Routine: 10x penalty
    Routine → Emergency: 1x penalty
    02

    Latency Requirements

    The response benchmark uses a safety-detection target below 100 milliseconds. This target does not measure staff response or resolution time.

    Safety Detection: <100ms target
    P95 Latency Tracking: Built-in
    03

    Baseline Tracking

    Teams can compare completed reports against an approved baseline. Automated release gating is not active.

    Regression Review: Manual
    Dimension-level Tracking: Per-run

    Evidence Across the Care Workflow

    The local workflow suite exercises conversation handling, safety assessment, escalation records, staff review, and follow-up records. The language-model response and notification delivery use test substitutes.

    01

    Medical Safety Engine

    Emergency and urgent detection with multilingual support (English, Hindi, code-switching).

    02

    Triage System

    Module-based classification with confidence scoring and escalation recommendations.

    03

    Escalation Rules

    Context-aware human handoff decisions with SLA tracking and notification routing.

    Clinical AI Deserves Clinical Evaluation

    Define the workflow and acceptance criteria with your clinical team. Review the evidence before making a deployment decision.

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