Orchestrate patient admission, discharge and post-care with NVIDIA and Claude
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 22 nodes and runs on a schedule (every 15 minutes) (plus 1 other trigger). Along the way it connects Anthropic Chat Model and Slack.
How it runs
Trigger: On a schedule (every 15 minutes) (plus 1 other trigger).
- Merge: merges the data from its input branches
- Workflow Configuration (Edit Fields (Set)): sets 11 fields: ehrApiUrl, nursingApiUrl, pharmacyApiUrl…
- Fetch EHR Patient Data (HTTP Request): calls an HTTP API
- Fetch Pharmacy Readiness (HTTP Request): calls an HTTP API
- Fetch Case Management Data (HTTP Request): calls an HTTP API
- Aggregate System Data (Edit Fields (Set)): sets 6 fields: ehrData, nursingData, pharmacyData…
- Validate Data Completeness (Code): runs custom JavaScript code
- Healthcare Operations Orchestrator (AI Agent): runs an AI agent, with model: Claude Model; output parser: Structured Operations Output
- Route by Operation Type (Switch): routes items into 3 branches
- Execute Admission Workflow (HTTP Request): calls an HTTP API (POST)
…plus 8 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (13)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - Merge
n8n-nodes-base.merge - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Switch
n8n-nodes-base.switch - If
n8n-nodes-base.if - Slack
n8n-nodes-base.slack - Send Email
n8n-nodes-base.emailSend
From the author
How It Works This workflow automates patient risk assessment and clinical alerting for healthcare providers using NVIDIA AI models. Designed for hospitals, clinics, and healthcare organizations, it addresses the critical challenge of timely identification and…