Route Patient Symptoms → AI Analysis → Priority Queue
Automatically analyze incoming patient symptoms using AI to provide preliminary assessment and route to appropriate care teams, reducing triage time and improving accuracy.
Workflow Steps
Typeform
Collect patient intake data
Create a structured form capturing patient symptoms, medical history, pain levels, and demographic information. Include conditional logic to gather relevant details based on chief complaint.
Zapier
Trigger workflow on form submission
Set up a Zapier trigger that activates when a new Typeform response is submitted, capturing all patient data fields for processing.
ChatGPT (via OpenAI API)
Generate preliminary assessment
Send patient symptoms and history to ChatGPT with a medical analysis prompt. Request severity scoring (1-10), potential diagnoses, and recommended urgency level with reasoning.
Airtable
Log assessment and assign priority
Create patient record in Airtable with AI assessment results, assign to appropriate care team based on severity score, and trigger notifications for high-priority cases.
Workflow Flow
Step 1
Typeform
Collect patient intake data
Step 2
Zapier
Trigger workflow on form submission
Step 3
ChatGPT (via OpenAI API)
Generate preliminary assessment
Step 4
Airtable
Log assessment and assign priority
Why This Works
Combines structured data collection with AI analysis to provide consistent, rapid preliminary assessments that help prioritize patient care based on severity.
Best For
Hospital emergency departments looking to improve triage efficiency and accuracy
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