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Medical symptom analysis & doctor recommendations with Ollama AI & WhatsApp

Transform healthcare accessibility by using this automated system that interprets patient symptoms via WhatsApp and instantly pairs them with the right medical professionals. By leveraging local AI models through Ollama, the workflow ensures efficient health assessments followed by immediate communication via email or chat. It’s a comprehensive bridge between initial patient concerns and professional medical consultations, streamlining the referral process.

Run this with your team's AI

What This Recipe Does

The AI Symptom Checker & Doctor Suggestion automation transforms how healthcare providers and wellness platforms handle initial patient inquiries. By converting complex medical workflows into a streamlined digital experience, this tool allows patients to submit their symptoms through a secure interface and receive immediate, data-driven guidance. The system processes input through advanced logic to categorize the severity of symptoms and automatically matches the user with the most appropriate medical specialist or department. This automation eliminates the manual burden of triaging preliminary inquiries, ensuring that patients are directed to the right care path instantly. For healthcare administrators, this means reduced administrative overhead, faster response times, and a more organized patient intake process. By delivering an automated summary via email and a real-time response to the user, the application bridges the gap between initial concern and professional consultation, improving the overall patient experience while optimizing clinic resources.

What your team gets

Something anyone can use

Forms and dashboards, so it is not a script only one person understands

It keeps running

Runs on your schedule in the cloud, so it does not stop when a laptop closes

Your other tools can call it

Endpoints, so the rest of your stack can trigger the same work

Accounts connected once

Http connected for the team, not per person

How It Works

  1. 1

    Open the recipe and connect your accounts

    Connect Http once, in your team cloud, and nobody has to do it again on their own machine

  2. 2

    Tell your own agent what is different about your process

    Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work

  3. 3

    Run it, then leave it running

    It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it

Who Uses This

Frequently Asked Questions

How does the system determine which doctor to suggest?

The automation uses internal logic and database requests to match the keywords in the patient's description with specific medical specialties and available practitioners.

Can we customize the email notifications sent to patients?

Yes, the content and branding of the email alerts can be fully customized to match your clinic's communication style and include specific next-step instructions.

Does this replace a professional medical diagnosis?

No, this tool is designed for administrative triage and routing purposes only, helping direct patients to the qualified medical professionals who can provide a formal diagnosis.

Can this be integrated with our existing patient management system?

The automation is built to connect with external databases and APIs, allowing it to sync with most modern healthcare CRM and scheduling platforms.

Coming from n8n?

This recipe uses nodes like Langchain.lmChatOllama, Webhook, Langchain.agent, Code and 5 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.

Langchain.lmChatOllama Webhook Langchain.agent Code If HttpRequest EmailSend RespondToWebhook StickyNote

Based on n8n community workflow. View original

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See the recipe

Run this with the AI your team already uses

Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.

Open this recipe in Runwork