Intelligent Triage Symptom Analysis

What This Skill Does

Intelligent Triage and Symptom Analysis is an advanced AI-powered diagnostic support agent designed for healthcare providers, telemedicine platforms, and individual patients. Built upon the ESI (Emergency Severity Index) and Manchester Triage System, this tool provides a professional-grade preliminary assessment of medical urgency. By leveraging natural language processing (NLP), the skill extracts clinical data from user input, identifying specific symptoms across 11 body systems. It cross-references these findings against a comprehensive database of over 3,000 diseases, providing prioritized differential diagnoses and real-time red-flag warnings for life-threatening conditions with a stated accuracy rate of ≥95%.

Installation

To install this skill, ensure your OpenClaw environment is updated to the latest version. Use the following command in your terminal:

clawhub install openclaw/skills/skills/andyxcg/intelligent-triage-symptom-analysis

Once installed, you can verify the integrity of the skill by running the demo mode. No API key is required for initial demonstrations, as the system provides simulated triage data to verify output formatting and integration compatibility.

Use Cases

• Telemedicine Platforms: Automating intake forms and initial patient screening to route urgent cases to human providers faster.
• Healthcare Triage Support: Assisting junior medical staff in assessing patient urgency based on standardized international protocols.
• Patient Self-Assessment: Providing individuals with preliminary guidance on whether to seek emergency care, visit a clinic, or manage symptoms at home.
• Historical Tracking: Using the built-in symptom history tracking to document progress over recurring conditions, facilitating better longitudinal health monitoring.

Example Prompts

1. "Analyze these symptoms: Severe chest pain radiating to the left arm accompanied by profuse sweating, occurring for the last 30 minutes. Provide a triage level based on ESI standards."
2. "I have been experiencing a persistent dull headache, nausea, and sensitivity to light for the past 48 hours. What are the potential differential diagnoses?"
3. "Evaluate the following patient: 65-year-old male with shortness of breath and swollen ankles. Please check for red flags and recommend the appropriate urgency level."

Tips & Limitations

• Safety First: This tool is an AI assistant and does not replace professional medical judgment. Always seek emergency services for life-threatening emergencies regardless of AI analysis.
• Accuracy: While the system boasts a ≥95% accuracy rate for red flags, always verify findings with clinical examination data.
• Optimization: Use precise, descriptive language in your prompts to improve the NLP extraction accuracy. Including duration, severity (scale 1-10), and accompanying factors significantly improves result quality.
• Billing: Take advantage of the limited-time trial offering 200 free calls to stress-test the model against your specific use case requirements before upgrading to the Pro or Enterprise tiers.