Monday, Nov 01, 2021
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Monday, Nov 01, 2021
3:30 PM - 5:00 PM PDT
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LB05: Panel - Lessons in Health Equity from the CMS AI Health Outcomes Challenge
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In April 2021, the U.S. Centers for Medicare and Medicaid Services announced the winner and runner-up of the CMS Artificial Intelligence Health Outcomes Challenge, the largest-ever prize competition for innovators to demonstrate how AI solutions can predict patient health events. The two-year competition was described as “an exciting example of how public/private partnerships can drive innovation.” This panel will explore how the winner and runner-up in the AI Challenge approached health equity by measuring and mitigating algorithmic bias. The panelists will discuss the current and future state of algorithmic bias in applications using healthcare claims data, debating topics such as: 1) how to effectively identify the sources of bias in AI algorithms—including data quality and representativeness, 2) the difference between bias and fairness, 3) the value of scoring systems for quantifying bias, and 4) practical implications of applying predictive models in healthcare compared to other settings. Ample time will be provided for audience questions and discussion.
Speaker(s):
Speaker:
David Vawdrey, Geisinger
Speaker:
Dave DeCaprio
Speaker:
Carol McCall
Speaker:
Yaron Kinar
Speaker:
Aneesh Chopra, CareJourney
Panel
Location: Sapphire A
Room Level: Level 4
Session Code: LB05
Credit: 1.50
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Location: Sapphire A
Room Level: Level 4
Session Code: LB05
Credit: 1.50
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2021110115:3017:00 072
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MON, NOV 1
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7EF8FDA9-38D0-EB11-80EF-D1E7CDE2D2B0
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