Key Considerations for Governing Safe and Responsible Use of AI in Healthcare

Area of Science:

• Health Informatics
• Artificial Intelligence in Medicine
• Healthcare Management

Background:

• The integration of Artificial Intelligence (AI) into healthcare presents complex governance challenges.
• Stakeholder perspectives are crucial for understanding the multifaceted issues surrounding AI implementation in clinical settings.

Purpose of the Study:

• To explore the governance challenges and opportunities of AI implementation in healthcare.
• To provide practical insights from diverse stakeholder viewpoints.
• To identify critical themes for safe and equitable AI adoption.

Main Methods:

• Analysis of extensive interviews with stakeholders from academia, government, clinical practice, healthcare associations, and consumer groups.
• Identification and synthesis of key themes related to AI governance in healthcare.

Main Results:

• Critical themes include data governance, ethical considerations, accountability, risk management, and equity.
• Fragmented data systems, privacy concerns, and systemic biases require robust governance frameworks.
• A tiered risk management approach is recommended for AI implementation.

Conclusions:

• Enhanced AI literacy, improved infrastructure, and centralized governance are essential for healthcare organizations.
• Streamlined decision-making processes are needed to ensure safe, equitable, and sustainable AI adoption.
• Addressing governance gaps is crucial for maximizing the benefits of AI in healthcare.