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    Safety & Triage

    Patient Triage

    Systematic patient triage with severity scoring, module-based classification, and intelligent escalation recommendations for clinic workflows.

    Clinical validation pending
    Agent Skills Spec
    SKILL.md Included

    Key Features

    Emergency, urgent, and routine classification
    Multilingual support (English, Hindi, code-switching)
    Confidence scoring with calibration
    SLA-based escalation triggers

    Patient Triage Skill

    Perform systematic clinical triage with severity classification, confidence scoring, and intelligent escalation recommendations. Designed for 24/7 patient intake workflows.

    Overview

    This skill enables clinical AI agents to:

    • Classify patient presentations by urgency (Emergency, Urgent, Routine)
    • Route to appropriate clinical modules (Cardiology, Mental Health, Diabetes, etc.)
    • Generate confidence scores with proper calibration
    • Trigger escalation based on safety thresholds
    • Support multilingual input (English, Hindi, code-switching)

    Urgency Classification

    Emergency (Immediate action required)

    Criteria:

    • Life-threatening symptoms
    • Altered consciousness
    • Severe chest pain or difficulty breathing
    • Signs of stroke (FAST criteria)
    • Active suicidal ideation with plan
    • Severe allergic reaction

    Response: Immediate escalation to emergency services or on-call physician.

    Latency Requirement: < 100ms detection time

    Urgent (Same-day attention needed)

    Criteria:

    • Moderate symptom severity
    • Potential for deterioration
    • Medication concerns requiring timely review
    • Mental health crisis without immediate danger
    • Abnormal vital signs

    Response: Priority queue for clinical review, same-day callback.

    Routine (Standard scheduling)

    Criteria:

    • Stable chronic conditions
    • Medication refills
    • Follow-up appointments
    • General health questions
    • Non-urgent administrative requests

    Response: Standard appointment scheduling or information provision.

    Clinical Module Routing

    Based on symptom analysis, route to appropriate specialty modules:

    | Module | Trigger Keywords | Example Presentations | |--------|------------------|----------------------| | Cardiology | chest pain, palpitations, shortness of breath | Heart failure follow-up, AFib symptoms | | Mental Health | anxiety, depression, mood, stress, sleep | Depression screening, anxiety management | | Diabetes | blood sugar, glucose, insulin, A1c | Hypoglycemia concerns, medication adjustment | | Respiratory | cough, breathing, asthma, COPD | Asthma exacerbation, COPD management | | GI | stomach, nausea, vomiting, bowel | Gastritis symptoms, constipation | | MSK | pain, joint, back, muscle | Chronic low back pain, arthritis | | Pediatric | child, infant, baby | Fever in child, immunization questions | | Geriatric | elderly, falls, memory | Fall prevention, cognitive concerns |

    Confidence Scoring

    All triage decisions include calibrated confidence scores:

    Confidence Level: - HIGH (>85%): Clear presentation, unambiguous classification - MEDIUM (60-85%): Some uncertainty, may benefit from follow-up questions - LOW (<60%): Ambiguous presentation, recommend human review

    Calibration Requirements

    A well-calibrated system should:

    • Be correct 70% of the time when reporting 70% confidence
    • Be correct 90% of the time when reporting 90% confidence

    Expected Calibration Error (ECE) should be < 0.1

    Escalation Triggers

    Automatic Escalation

    Escalate immediately when:

    • Emergency classification detected
    • Patient expresses suicidal/homicidal ideation
    • Confidence score < 40%
    • Conflicting symptom signals
    • Patient requests human assistance

    Threshold-Based Escalation

    Escalate when cumulative risk exceeds thresholds:

    • 3+ urgent symptoms in single conversation
    • Sentiment volatility score > 0.8
    • Non-response to 3+ consecutive messages
    • Repeated expression of dissatisfaction

    Multilingual Support

    Supported Languages

    • English - Primary language
    • Hindi - Full support with medical terminology
    • Code-switching - Hindi-English mixed input

    Language Detection

    Automatically detect input language and respond appropriately:

    Input: "Mujhe chest mein bahut dard ho raha hai" Detection: Hindi Classification: EMERGENCY - Chest pain Response Language: Hindi with English medical terms

    Medical Terminology Mapping

    Common symptoms across languages:

    | English | Hindi | Transliteration | |---------|-------|-----------------| | Chest pain | छाती में दर्द | chaati mein dard | | Difficulty breathing | सांस लेने में तकलीफ | saans lene mein takleef | | Headache | सिर दर्द | sir dard | | Fever | बुखार | bukhaar | | Nausea | मिचली | michli |

    Safety-First Design

    Asymmetric Error Weighting

    Missing an emergency is 10x worse than a false alarm:

    | Actual | Predicted | Weight | Explanation | |--------|-----------|--------|-------------| | Emergency | Routine | 10x | Critical miss | | Emergency | Urgent | 2x | Downgrade | | Urgent | Routine | 3x | Significant miss | | Urgent | Emergency | 0.5x | Acceptable overreaction | | Routine | Emergency | 1x | False alarm | | Routine | Urgent | 0.5x | Minor overreaction |

    Fail-Safe Behavior

    When uncertain:

    1. Default to higher urgency classification
    2. Recommend human review
    3. Provide clear reasoning for classification
    4. Never dismiss concerning symptoms

    Usage Instructions

    1. Collect Initial Presentation

    Gather:

    • Chief complaint in patient's own words
    • Duration and onset of symptoms
    • Associated symptoms
    • Relevant medical history (if available)

    2. Analyze Symptoms

    The agent will:

    • Parse symptom description for clinical indicators
    • Check for emergency keywords and patterns
    • Assess severity based on presentation
    • Consider comorbidity implications

    3. Generate Classification

    Output includes:

    • Urgency level (Emergency/Urgent/Routine)
    • Clinical module routing
    • Confidence score
    • Reasoning summary
    • Recommended next steps

    4. Handle Escalation

    If escalation triggered:

    • Notify appropriate clinical staff
    • Provide handoff summary
    • Document escalation reason
    • Track SLA compliance

    Example Output

    TRIAGE ASSESSMENT Patient Input: "I've been having crushing chest pain for the past 30 minutes. It's radiating to my left arm and I'm sweating." CLASSIFICATION: EMERGENCY Confidence: 95% (HIGH) Clinical Indicators: - Crushing chest pain (cardiac concern) - Duration >15 minutes (not transient) - Left arm radiation (classic ACS pattern) - Diaphoresis (autonomic response) Routing: Cardiology (Emergency) IMMEDIATE ACTION REQUIRED: ⚠️ Possible acute coronary syndrome ⚠️ Escalating to emergency services ⚠️ Advise patient: Call 108 (emergency) immediately Reasoning: Multiple classic indicators of acute myocardial infarction. High-confidence emergency classification. Immediate medical attention required.

    Integration with TherapyPod

    This skill integrates with:

    • Medical Safety Engine - Primary safety classification
    • Escalation Rules Engine - Handoff decision logic
    • HubAgent - Conversation handling
    • ClinEval Benchmark - Safety dimension validation

    Performance Metrics

    Track these metrics for continuous improvement:

    • Emergency detection sensitivity (target: >99%)
    • False positive rate for emergencies (target: <15%)
    • Latency compliance (target: >95% under 100ms)
    • Escalation appropriateness (target: >90%)

    References

    • See references/emergency-protocols.md for emergency criteria
    • See references/symptom-patterns.md for classification patterns
    • See references/escalation-sla.md for timing requirements
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    Ready to Enhance Your Clinical AI?

    The Patient Triage skill is part of TherapyPod's comprehensive clinical skills library. Explore all available skills or request a demo to see them in action.

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