As AI use rapidly expands across health plan operations, understanding how these technologies will be governed is essential. In this session, experts will take a deeper dive into the current state of AI governance frameworks and the legislative landscape shaping their use. Health plan leaders will gain timely insights into what’s happening now—and what’s coming next—in AI oversight, helping them prepare their organizations for compliance, accountability, and responsible innovation.
Learning Objectives:
- Learn how to assess, document, and monitor AI models used in claims review, fraud detection, and payment integrity to ensure they meet accountability, explainability, and compliance standards.
- Gain actionable insights into current and pending legislation on AI use in healthcare, and understand what steps your organization should take now to align with evolving regulatory expectations and avoid audit risks.
Crystal Son
Crystal Son is an Executive Director of Enterprise Data Analytics Solutions at Healthcare Service Corporation (HCSC). She has 19 years of experience in deriving intelligence from data.
At HCSC, she leads the Strategic Initiatives & Partnerships team, a department that focuses on cross-functional, collaborative analytics delivery on key programs such as Payment Integrity and Stakeholder Engagement, enterprise data and analytics strategy and planning, as well as design and execution of HCSC’s Responsible AI program. She is passionate about real-world applications of data-driven insights, storytelling through data, and building high-performance teams.
Simi Binning
Simi Binning is an accomplished healthcare professional with over a decade of experience in developing and executing successful strategies that drive business growth. Currently serving as a Responsible AI lead at HCSC, her focus is on AI governance and innovative problem solving.