AI Integration and Intelligent Automation

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
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