Triage emergency patients via chat with GPT-4.1 and hospital systems

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1. Workflow Overview

How It Works This workflow automates hospital emergency department triage by intelligently processing patient intake information through multiple AI powered assessment stages. Designed for emergenc...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.if, n8n-nodes-base.httprequest, n8n-nodes-base.set

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title: Triage emergency patients via chat with GPT-4.1 and hospital systems
Workflow name: Triage emergency patients via chat with GPT-4.1 and hospital systems

How It Works

This workflow automates hospital emergency department triage by intelligently processing patient intake information through multiple AI-powered assessment stages. Designed for emergency departments, urgent care centers, and hospital admission teams, it solves the critical challenge of rapid, accurate patient prioritization during high-volume periods. The system captures initial patient data through a chat interface, uses specialized AI agents to analyze medical history and current symptoms, validates business rules for priority assignment, performs stability checks, calculates priority scores, and determines required actions. It then routes patients to appropriate care pathways while sending notifications to relevant medical teams and logging all interactions for audit compliance. The workflow leverages OpenAI models and structured JSON parsing to ensure consistent, protocol-driven triage decisions.

Setup Steps

Configure OpenAI credentials with API key for AI agent access
Set up Hospital Triage Agent node with your clinical triage protocols
Configure Patient Consent and Structured JSON checkers with validation rules
Connect notification endpoints for Execute Appointment and Send Notification nodes
Set up audit logging system integration in Log Interactions node
Customize business rule validation parameters for your facility's triage categories

Prerequisites

Active OpenAI API account, hospital system API access for appointments and notifications

Use Cases

Emergency department patient intake, urgent care prioritization, virtual triage for telehealth

Customization

Modify triage agent prompts to reflect your clinical protocols, adjust priority scoring algorithms

Benefits

Accelerates triage processing by 60%, ensures standardized clinical assessment

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Patient Chat Interface

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.4

Block 2 - Hospital Triage Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3.1

Block 3 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 4 - Conversation Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 5 - Structured JSON Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 6 - Check Action Required

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 7 - Execute Appointment Action

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 8 - Send Notification

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.3

Block 9 - Format Response to Patient

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - Route by Intent Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.4

Block 11 - Log Interaction to Audit DB

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 12 - Check Patient Eligibility

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 13 - Retrieve Patient History

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 14 - Calculate Priority Score

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 15 - Validate Business Rules

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 16 - Department Availability Checker Tool

Type / Role: @n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices: Version 1.3

Block 17 - Patient Consent Validator Tool

Type / Role: @n8n/n8n-nodes-langchain.toolCode - toolCode
Config choices: Version 1.3

Block 18 - Check Confidence Threshold

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 19 - Enrich with Patient Context

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 20 - Prepare Escalation Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 21 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 26 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Triage emergency patients via chat with GPT-4.1 and hospital systems
Complexity	advanced
Nodes	26
Categories	Support Chatbot, AI Chatbot
Author	Cheng Siong Chin
Published	25 Jan 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/12986/12986.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Triage emergency patients via chat with GPT-4.1 and hospital systems do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

Cheng Siong Chin

203 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.if n8n-nodes-base.httprequest n8n-nodes-base.set

Complexity

advanced

Published 25 Jan 2026

Likes 0

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Install path: /data/workflows/12986/12986.json

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Triage emergency patients via chat with GPT-4.1 and hospital systems

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How It Works

Setup Steps

Prerequisites

Use Cases

Customization

Benefits

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Patient Chat Interface

Block 2 - Hospital Triage Agent

Block 3 - OpenAI Chat Model

Block 4 - Conversation Memory

Block 5 - Structured JSON Output Parser

Block 6 - Check Action Required

Block 7 - Execute Appointment Action

Block 8 - Send Notification

Block 9 - Format Response to Patient

Block 10 - Route by Intent Type

Block 11 - Log Interaction to Audit DB

Block 12 - Check Patient Eligibility

Block 13 - Retrieve Patient History

Block 14 - Calculate Priority Score

Block 15 - Validate Business Rules

Block 16 - Department Availability Checker Tool

Block 17 - Patient Consent Validator Tool

Block 18 - Check Confidence Threshold

Block 19 - Enrich with Patient Context

Block 20 - Prepare Escalation Data

Block 21 - Sticky Note

Block 22 - Sticky Note1

Block 23 - Sticky Note2

Block 24 - Sticky Note3

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions