Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
How It Works This workflow automates clinical trial signal validation and regulatory governance through intelligent AI driven oversight. Designed for clinical research organizations, pharmaceutical...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.switch
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceThis workflow automates clinical trial signal validation and regulatory governance through intelligent AI-driven oversight. Designed for clinical research organizations, pharmaceutical companies, and regulatory affairs teams, it solves the critical challenge of ensuring trial compliance while managing post-market surveillance obligations across multiple regulatory frameworks.The system operates on scheduled intervals, fetching data from clinical trial databases and laboratory production signals, then merging these sources for comprehensive analysis. It employs dual AI agents for clinical signal validation and governance assessment, detecting protocol deviations, safety signals, and compliance violations. The workflow intelligently routes findings based on governance action requirements, orchestrating parallel processes for regulatory reporting, batch result documentation, and post-market surveillance logging. By maintaining synchronized audit trails across regulatory reports, batch records, post-market surveillance, and comprehensive action logs, it ensures complete traceability while automating escalation to quality teams when intervention is required.
OpenAI or Nvidia API credentials for AI validation agents, clinical trial database API access
Pharmaceutical companies managing Phase III trial monitoring, CROs overseeing multi-site clinical studies
Adjust signal validation criteria for therapeutic area-specific protocols
Reduces regulatory review cycles by 70%, eliminates manual signal triage
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.
| Workflow | Validate clinical trial and lab signals with OpenAI for regulatory governance |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | Engineering, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 01 Feb 2026 |
Use the JSON export at /data/workflows/13153/13153.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
How It Works This workflow automates clinical trial signal validation and regulatory governance through intelligent AI driven oversight. Designed for clinical research organizations, pharmaceutical...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Engineering, AI Summarization use case.