DataFramed

#244 Using Data to Optimize Costs in Healthcare with Travis Dalton and Jocelyn Jiang President/CEO & VP of Data & Decision Science at MultiPlan

Sep 16, 2024
Travis Dalton, President and CEO of MultiPlan, and Jocelyn Jiang, VP of Data & Decision Science, dive into how data is revolutionizing healthcare. They tackle the complexities of the U.S. healthcare payment system, the need for transparency, and the impact of machine learning on cost prediction. Their insights reveal how data analytics drives early intervention strategies and benefits rural healthcare. With a focus on predictive methods and informed consumer choices, they share how to create a more efficient and affordable healthcare landscape.
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INSIGHT

Healthcare Pricing Opacity

  • Healthcare pricing in the US is opaque, leading to overspending and suboptimal outcomes.
  • Price transparency and predictability, driven by data analysis and machine learning, are key to improving the system.
INSIGHT

US Healthcare System Overview

  • US healthcare involves government-funded (Medicare/Medicaid) and commercial insurance.
  • Costs vary based on in-network agreements, negotiated rates, and out-of-network options.
INSIGHT

Pricing Discrepancies

  • The current system lacks price transparency, making it difficult to compare costs.
  • Prices vary significantly between providers, even for identical procedures.
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