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Artificial intelligence governance framework for healthcare.

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Artificial Intelligence (AI) offers solutions for healthcare challenges, but implementation is difficult. This study proposes a new AI governance framework to help healthcare organizations safely adopt AI systems.

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Area of Science:

  • Healthcare Technology
  • Artificial Intelligence in Medicine
  • Health Informatics

Background:

  • Artificial Intelligence (AI) presents significant opportunities for addressing complex healthcare challenges, including operational efficiency, administrative support, and patient care outcomes.
  • Despite numerous AI models validated in research, their translation into practical healthcare applications faces substantial implementation and adoption hurdles.

Purpose of the Study:

  • To identify key challenges hindering the adoption of AI in healthcare settings.
  • To propose a novel AI governance framework designed to facilitate the safe and effective implementation of AI systems within healthcare organizations.

Main Methods:

  • Review of current challenges in AI implementation within the healthcare sector.
  • Development and proposal of a new AI governance framework.

Main Results:

  • Identified critical barriers to AI adoption in healthcare, including issues related to implementation and user acceptance.
  • Proposed a structured AI governance framework to guide healthcare organizations in adopting AI technologies.

Conclusions:

  • A dedicated governance framework is essential for overcoming AI implementation challenges in healthcare.
  • The proposed framework aims to enable healthcare organizations to safely and effectively integrate AI systems, ultimately improving care delivery.