Analyzing Medicare Cost Distribution and Coverage Disparities: Insights from Data-Driven Analysis
Poster Number
7
Research or Creativity Area
Engineering & Computer Science
Abstract
This study investigates 2022 Medicare Part B claims data to evaluate systemic disparities in healthcare costs and service utilization across U.S. regions. Using descriptive statistics and visual analytics on 270,673 service records, we identify a 5.6-fold gap between provider-submitted charges and Medicare standardized payments, with significant disparity variations in payment structures. Key visualizations reveal weak correlations between charges and reimbursements and outlier-driven cost distributions in high-service regions. The findings advocate for granular reporting standards and transparent pricing models to reduce beneficiary financial burdens.
Location
University of the Pacific, DeRosa University Center
Start Date
26-4-2025 10:00 AM
End Date
26-4-2025 1:00 PM
Analyzing Medicare Cost Distribution and Coverage Disparities: Insights from Data-Driven Analysis
University of the Pacific, DeRosa University Center
This study investigates 2022 Medicare Part B claims data to evaluate systemic disparities in healthcare costs and service utilization across U.S. regions. Using descriptive statistics and visual analytics on 270,673 service records, we identify a 5.6-fold gap between provider-submitted charges and Medicare standardized payments, with significant disparity variations in payment structures. Key visualizations reveal weak correlations between charges and reimbursements and outlier-driven cost distributions in high-service regions. The findings advocate for granular reporting standards and transparent pricing models to reduce beneficiary financial burdens.
