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Session 53 | Clinical Excellence Across Your Organization with AI-Driven Insights: Innovative Technology Trends
Time: 3:30 to 5:30 p.m.
Type/Topic: Technology and Innovations
Session Summary
Driving consistent clinical excellence across multi-center organizations is challenging, as each center has unique strengths, resident populations, and care specialties. As a result, the same patient data may signal very different levels of risk depending on the setting. This session will discuss how training artificial intelligence (AI) on center-specific data can help address this variation. Attendees will learn how to apply a structured approach to integrating AI-driven center insights into portfolio-wide clinical strategy. By learning each center's unique patterns and distinguishing normal fluctuations from early warning signs, centers can focus on more precise and targeted interventions.
Sponsored by ExaCare.
Presenters
Karyn Dean
Head of Product | SAIVA AI, Inc.
About the Presenter
Karyn Allen Dean is a healthcare technology leader with more than 20 years of experience driving innovation across post-acute care, payer, and clinical technology markets. She specializes in translating complex clinical and operational challenges into scalable, AI-powered solutions that improve patient outcomes and reduce avoidable costs. Karyn has led the development and commercialization of multiple post-acute and value-based care solutions, including machine learning-driven clinical risk platforms designed to identify early signs of patient deterioration. She currently serves in as Head of Product at SAIVA AI, where she helps advance predictive intelligence tools that enable skilled nursing facilities and care teams to move from reactive care to proactive intervention. She is a recognized leader in post-acute clinical analytics, interoperability, and value-based transformation, and is passionate about equipping frontline care teams with actionable insights that drive better outcomes across the continuum.
Boris Silantev
Tech Lead, ML & Data Engineering | SAIVA AI, Inc.
About the Presenter
Boris Silantev brings a blend of data science, machine learning, and business experience to developing AI products for the post-acute care domain. As a tech leader, he helps shape practical, production-grade solutions that turn complex patient data into clear, actionable insights for clinicians. His focus is on bridging technical possibilities with day-to-day clinical realities to support better decisions, care quality, and patient outcomes.