
AI Integration and Intelligent Automation
Future-Oriented Solutions for Complex Challenges
Language Model Assistants
Possible Applications:
- Automatic documentation creation
- Summarization of clinical conversations
- Structuring unstructured data
Integration in N8N:
- Connection to OpenAI, Azure OpenAI, or local models
- Prompt engineering for medical use cases
- Result verification by medical professionals
Decision Support
- N8N as a bridge between real-time patient data and ML models
- Continuous monitoring and evaluation of vital signs
- Automatic alarms and actions for critical values
Data Privacy-Compliant AI Use
Local AI solutions minimize data privacy risks through on-premise deployment
- Implementation of Ollama for local LLM instances
- Pre-trained medical models without cloud connection
- Complete control over sensitive patient data