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Safety & Triage

Patient Triage

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

ClinEval Validated
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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