Webinar: Price benchmarking using Transparency in Coverage data – Opportunities and challenges

The landscape of healthcare price benchmarking is evolving, and Transparency in Coverage (TIC) data is at the center of that shift.

In this on-demand webinar, experts from Health Cost Labs and MedeAnalytics unpack the power and complexity of TIC data, revealing how it can be used to gain accurate market insights and a competitive edge in benefits strategy. Through real-world examples and practical guidance, you'll learn how to navigate the challenges and harness the opportunities of this unprecedented data source.

Watch the recording to:

Demystify TIC data: Understand what Transparency in Coverage data is, how it’s structured, and how it can be used to benchmark healthcare pricing with precision.
Put TIC data to work: Explore proven strategies for using this data to assess provider pricing, uncover savings opportunities, and evaluate network performance.
Navigate the risks and rewards: Learn how to turn healthcare cost transparency into a strategic advantage.
See it in action: Hear real-world success stories of organizations leveraging TIC data to lower costs, improve outcomes, and gain a market edge.

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Meet the hosts

Leo Wisniewski

Founder of Health Cost Labs

Leo Wisniewski, Founder of Health Cost Labs, brings nearly 20 years of healthcare finance expertise to address the critical need for price transparency.

His background in modeling claims data, creating fee schedules, and analyzing payment policy changes provides him with the tools to develop effective benchmarking solutions. He is committed to fostering a healthcare system where clear, equitable pricing leads to improved affordability and reduced over-utilization.

Chris Gormley

General Manager of MedeAnalytics

Christopher Gormley, General Manager of MedeAnalytics, brings a proven track record of leveraging technology to drive growth and solve complex business challenges in today's evolving healthcare landscape.

His expertise in applying strategic sourcing and innovative technologies, like AI, to analyze and interpret large datasets is directly relevant to the opportunities and challenges presented by Transparency in Coverage data.