HCA is at the forefront of Responsible AI, shaping frameworks that safeguard patient outcomes and empower the healthcare industry. This session highlights how HCA combines internal innovation, governance excellence, and industry collaboration to lead the Responsible AI charge.

• Developing AI governance frameworks to ensure ethical practices and safeguard patient outcomes across applications. 
• Fostering internal innovation by building AI systems aligned with healthcare-specific challenges and opportunities. 
• Leading industry collaboration by establishing policies and sharing best practices for Responsible AI adoption.

Identifying and analyzing the right use cases is key to harnessing AI's transformative potential responsibly. This session dives into practical approaches for auditing use cases, assessing potential risks, bias, hallucinations and integrating AI into workflows, achieving efficiencies, and navigating challenges to deliver measurable business value.

-           Evaluating workflows to identify high-impact use cases aligned with organizational goals and ethical considerations.

-           Prioritizing AI initiatives based on feasibility, ROI, and alignment with responsible innovation principles.

-           Establishing feedback loops to refine AI integration and adapt to evolving organizational needs.