In this two part conversation, Dennis Chornenky discusses various aspects of AI in healthcare, including the role of regulatory bodies, the need for industry self-regulation, and how health systems can get started with AI adoption. He emphasizes the importance of executive education and the development of an AI strategy. Dennis also highlights the importance of AI governance. The conversation concludes with the qualifications of a Chief AI Officer, the integration of AI into business units, the challenges of AI integration, the impact of polarization on collaboration, and the pull-through and adoption of AI.
Takeaways - AI governance in healthcare is a pressing topic, with a need for both regulatory bodies and industry self-regulation.
- Health systems should develop an AI strategy and engage in executive education to navigate the complexities of AI adoption.
- Committees focused on responsible AI and technical risk can help organizations manage the challenges of AI implementation.
- The role of a chief AI officer requires a strategic perspective, understanding of governance and policy, and business acumen. A Chief AI Officer should have a combination of strategic and governance skills, as well as a deep understanding of technology and the specific domain of the organization.
- Integration of AI into business units requires collaboration and integration with various departments, such as finance, pharmacy, clinical operations, and nursing operations.
- The polarization in society can affect collaboration in the AI space, but it is important for industry leaders to take the lead in driving collaboration and demonstrating the right ways to approach AI.
- Pull-through and adoption of AI in healthcare organizations can be facilitated through collaborative initiatives, such as ValidAI, which bring together multiple health systems to share best practices and learn from each other.
- Dennis Chornenky's background in epidemiology and finance has provided him with a unique perspective on the intersection of AI and healthcare.
Topics - The Role of Regulatory Bodies in AI
- The Need for Industry Self-Regulation
- Getting Started with AI in Healthcare
- Overcoming Resistance to AI Adoption
- Engaging with Regulatory Bodies
- The Experience of Insurance Companies with AI
- The Role of Committees in AI Governance
- The Role and Qualifications of a Chief AI Officer
- Integrating of AI into Business Units
- Challenges of AI Integration
- Polarization and Collaboration
