Leading with AI in Healthcare: Strategy, Risks, and Real-World Impact

Leading with AI in Healthcare: Strategy, Risks, and Real-World Impact

Wednesday, March 11, 2026 9:45 AM to 10:45 AM · 1 hr. (US/Pacific)
Level 3 | San Polo 3504
Education Sessions

Information

This session is designed to help healthcare executives and emerging leaders make informed, strategic decisions about artificial intelligence in their organizations. As AI continues to shape clinical care, operations, finance, and patient engagement, leaders must understand not only what these technologies can do, but how to deploy them responsibly and effectively.

This presentation provides a practical, leadership-focused overview of AI in healthcare, moving beyond hype to address real-world applications, readiness requirements, and organizational implications. Attendees will gain clarity on core AI concepts and terminology, explore where AI is creating measurable value across healthcare settings, and examine common pitfalls that undermine success. The session emphasizes governance, risk management, data and infrastructure considerations, and the role of leadership in aligning AI initiatives with strategic goals.

Drawing from real examples and applied frameworks, the presentation equips leaders with tools to evaluate AI opportunities, ask the right questions of technical teams and vendors, and guide adoption in a way that is ethical, compliant, and sustainable. Participants will leave better prepared to lead confidently in an AI-enabled healthcare environment and to shape initiatives that improve performance, outcomes, and long-term organizational resilience.

Level
Intermediate
Format
Best Practice
Learning Objective #1
Explain key AI concepts and why they matter for healthcare leadership and strategy.
Learning Objective #2
Identify high-impact AI use cases aligned with organizational priorities and challenges.
Learning Objective #3
Assess data, infrastructure, governance, and risk considerations critical to AI adoption.
Learning Objective #4
Apply a leadership framework to guide responsible, value-driven AI implementation.
Session #
87

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