Sunday, May 19 • 11:00 AM - 11:30 AM
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Location: George R. Brown Convention Center, Level 3, 340
Description:
Join us for a compelling presentation shedding light on the nuanced relationship between self-reported food insecurity and clinical diagnosis codes. Our project delves into the All of Us dataset, revealing a crucial misalignment that demands attention: while individuals report food insecurity, its translation into clinical documentation remains limited, impacting medical decision-making and the efficacy of value-based population health models. Discover how improving the recognition and reporting of social determinants of health (SDOH), like food insecurity, is vital for advancing healthcare equity and optimizing patient care.
Learning Objectives:
At the conclusion of this session, participants should be able to:
• Evaluate the current utilization of z-codes for food insecurity and its implications for healthcare delivery
• Explore the role of provider training and awareness in addressing SDOH complexities within healthcare systems using the All of Us data
• Explore the implications of this misalignment on medical decision-making and value-based population health models
CME Number: H24196
Type: CME
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