Wecome to Guideline quality AI in healthcare

Generative AI Guideline is almost there (The GENAISIS project)!

Based on an extensive and rigid Delphi process among global experts in the field, GENAISIS (GENerative AI Evaluation in Healthcare Systems and Implementation Standard) will include the key considerations and criteria for responsibly integrating generative AI, and notably Large Language Models (LLMs), into healthcare settings.
GENAISIS Summary
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How do you assess predictive artificial intelligence (AI) algorithms for health and care for quality and effectiveness? The AI Quality Guideline in Healthcare gives you an overview of the most important requirements and recommendations per phase, from development to implementation.
The full guideline (80 pages) The summary
Get more information about the guideline on datavoorgezondheid.nl.
Questions/remarks? These can be shared via the LinkedIn-page Guideline quality AI in healthcare.. 
Position of the guideline

An overview of the positioning of the guideline in the landscape of existing legislation and regulations (including links with the GDPR and the MDR).

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The innovation funnel

Where the guideline aims to capture quality, the innovation funnel targets the steps of developers, focusing on the action space within laws and regulations.

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For and by the field A broad group of experts, representatives of (umbrella) organizations and stakeholders have worked on the AI Quality Guideline in Healthcare.
A short overview A short overview presentation (.pptx) has been made. Start
Copyright UMC Utrecht 2026
Contact:
Carl Moons
  -  
k.g.m.moons@umcutrecht.nl
NL