Closing Keynote: Balancing Act: Ethical AI Governance for Improved Care Quality, Provider Satisfaction, Hospital Efficiency

As healthcare organizations increasingly adopt AI technologies, they face the critical challenge of balancing innovation and making an impact with ethical considerations and regulatory compliance. This session explores the delicate balance of implementing AI in healthcare while managing risks, enhancing patient care, and improving physician well-being. We’ll examine strategies for developing ethical AI governance frameworks that ensure transparency, adaptability, and patient protection while optimizing hospital operations and fostering sustainable innovation in the evolving healthcare landscape.

– Learn to develop comprehensive AI governance models that balance risk management with the potential for improved patient outcomes and physician satisfaction
– Explore methods for ensuring transparency and adaptability in AI systems, fostering trust among patients, physicians, and stakeholders while maintaining operational efficiency
– Discover strategies for integrating AI tools that reduce physician burnout and enhance clinical decision-making, while safeguarding patient privacy and safety
– Examine case studies of successful ethical AI implementations in healthcare settings, highlighting approaches to navigate complex regulatory landscapes and support sustainable innovation

Chris Gibbons, MD, MPH
Founder & CEO
The Greystone Group

Janae Sharp
Founder
The Sharp Index
Moderator

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