AI-Powered Symptom Checker and Doctor Referral Workflow

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This n8n workflow streamlines preliminary medical assessments using AI to analyze patient symptoms, identify urgency levels, and recommend relevant healthcare specialists. The process begins with a webhook input where patient symptoms and details are submitted. An AI model (powered by Ollama’s llama3.2 model) analyzes symptoms to assess severity, possible conditions, and necessary medical specialties, emphasizing that it does not replace professional advice.

The workflow then parses this analysis, checking if immediate emergency attention is required. If so, it automatically generates an urgent message with instructions to contact emergency services or visit an emergency room. Simultaneously, it searches for nearby doctors based on the recommended specialist using the BetterDoctor API.

Depending on the severity level, the system prepares a detailed medical advice message that includes symptoms, analysis, recommended actions, and nearby doctor info. It dynamically sends this information via WhatsApp (if a phone number is available) and email. The overall design provides a comprehensive, multi-channel automated response suitable for telemedicine support, initial triage, or health bot functionalities.

This workflow is particularly useful for healthcare providers, telemedicine platforms, or health apps aiming to offer immediate symptom analysis and doctor matchmaking, enhancing patient engagement and safety.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOllama, code, emailSend, httpRequest, if, respondToWebhook, stickyNote, webhook

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