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Webinar

What Claims Data Misses: Finding Opportunity at the Point of Care

ET
60 Minutes

Claims data reflects what already happened. Brand growth happens at the point of care.

Commercial and brand teams have invested heavily in claims analytics, AI-driven targeting, and omnichannel engagement. Yet many insights arrive after the most important decision has already been made: what happens between the clinician and patient at the point of care.

Join us to explore how to combine real-time clinician activity signals, precision terminology, and EHR-native patient identification to identify market opportunity as care is being documented. In this insightful session, industry experts will take a deep dive into this evolving approach, with a look at how it can help:

  • Improve targeting precision using real-time clinical activity and documentation signals
  • Identify treatment-ready patient populations earlier in the care journey
  • Move beyond retrospective claims analysis toward more actionable clinical insight
  • Better align brand strategy with the clinical workflows where prescribing decisions occur
  • Strengthen engagement strategies by connecting commercial insight to point-of-care decision-making

Discover how commercial teams are rethinking data strategy to gain earlier visibility into prescribing opportunity and drive more informed brand engagement. Register now to secure your spot!

Speakers

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Joseph Zabinski, PhD, MEM

Joseph Zabinski, PhD, MEM, joined IMO Health in 2025 as Senior Vice President of Product Management. He leads the Life Sciences product portfolio and go-to-market strategy. Dr. Zabinski is a published authority and thought leader in AI-driven personalization and outcome prediction using healthcare data. Previously, he oversaw the AI & Personalized Medicine business unit at OM1, a real-world evidence and technology provider. Dr. Zabinski began his career as a consultant at McKinsey, advising pharmaceutical clients on AI strategy and implementation. He holds a PhD from UNC Chapel Hill’s Gillings School of Global Public Health, where his research focused on Bayesian graphical modeling applied to large healthcare datasets. He also earned an MEM in engineering management from Dartmouth, a BS in physics and German studies from Boston College, and a Fulbright Fellowship to Austria.

Register here!

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