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Summary
This summary is machine-generated.

Hospitals face challenges implementing artificial intelligence (AI). EURAID (European Responsible AI Development) offers a human-centric framework to align AI development with European values and improve healthcare transformation.

Keywords:
AI ActAI life cycleagentic AIartificial intelligencedigital transformationin-house medical device development

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Area of Science:

  • Healthcare Informatics
  • Artificial Intelligence in Medicine
  • Digital Health Transformation

Background:

  • Hospitals are rapidly adopting artificial intelligence (AI) systems under pressure to improve performance and undergo digital transformation.
  • Current AI implementation often overlooks healthcare providers' needs and workflows, leading to poor integration and potential negative impacts on care.
  • There is a need for AI development and implementation strategies that align with European values and prioritize human-centric approaches.

Purpose of the Study:

  • To propose a practical, human-centric framework, EURAID (European Responsible AI Development), for the ethical development and implementation of AI in European healthcare.
  • To address the gap between AI development and meaningful integration into clinical settings.
  • To provide a model for aligning AI initiatives with European values and stakeholder needs.

Main Methods:

  • Developed the EURAID framework based on a multi-stakeholder perspective, encompassing agreed goals and values.
  • Illustrated the EURAID approach through the co-development of a specific AI tool for clinical settings.
  • Expanded the approach to address challenges in complex, multi-agent AI systems, detailing stakeholder roles and consensus-building methods.

Main Results:

  • The EURAID framework provides a practical, human-centric methodology for AI development and implementation in healthcare.
  • Co-development of an in-house AI system demonstrated the framework's utility in bridging the AI implementation gap.
  • The approach highlights the importance of stakeholder engagement throughout the AI lifecycle for successful integration.

Conclusions:

  • The EURAID framework offers a viable strategy for safe and efficient hospital digital transformation in the AI era.
  • Aligning AI development with European values and involving all stakeholders is crucial for positive AI implementation in healthcare.
  • This human-centric, multi-stakeholder approach facilitates the meaningful integration of AI into routine clinical practice.