Part 1: Tuesday, April 21, 2026 | 2:00 pm CT
Healthcare organizations are rapidly adopting artificial intelligence (AI) without always fully understanding the associated risks related to data privacy, regulatory compliance, cybersecurity, and clinical safety. This course provides healthcare leaders with a foundational understanding of AI, including how it differs from traditional automation and machine learning.
This session will explore how AI is being applied across healthcare, including clinical decision support, patient engagement, operational efficiency, and revenue cycle management. The session establishes a practical baseline for understanding where AI adds value, and where risks may emerge within healthcare environments.
Learning Objectives:
Part 2: Tuesday, April 28, 2026 | 2:00 pm CT
As AI adoption accelerates, healthcare organizations must ensure these technologies align with regulatory requirements, patient consent expectations, and sound governance practices. This session focuses on how to responsibly evaluate AI vendors and technologies prior to implementation.
Participants will learn how to identify governance, security, and compliance gaps, including considerations related to privacy, cybersecurity, third-party risk, and model transparency. The session also introduces practical frameworks to support informed decision-making, helping organizations safely assess, adopt, and manage AI solutions while protecting patients, data, and institutional trust.
Learning Objectives:
Register once and you will receive the link to both sessions.
Who Should Attend:
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