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Presented By: U-M Industrial & Operations Engineering

IOE 813 Seminar Series

Improving Outcomes of Public Health and Healthcare Policy

Speaker: Kevin Smith, PhD Candidate, U-M IOE

Description: Social Inequality can be defined by unequal outcomes that occur as a result of uneven distribution of resources. Many of the disparities that are observed across income quantiles occur in concentrated United States communities. Within these concentrated areas, unique social and behavioral responses exist to healthcare, health policy, and public health policy. While the US collects an enormous amount of demographic, health, and economic data at various community levels, there still exists a gap in how decision-makers can leverage these data to design appropriate community policy initiatives whose outcomes are intended to reduce the observed disparities nationwide. In this seminar, we will discuss applications of machine learning models in public health and healthcare policy and challenges in their respective outcome predictions.

Bio: Kevin B. Smith is a PhD candidate in the department of Industrial and Operations Engineering (IOE) at the University of Michigan and is co-advised by Dr. Brian Denton and Dr. Siqian Shen of IOE. His research is focused on applying industrial engineering and operations research tools to improve outcomes resulting from problems of social inequality. The mission of his research is to inform policymakers and the public of the critical factors that impact decisions with particular applications in organ allocation, pandemic risk planning, and clinical kidney stone care thus far. Additionally, he is motivated to allocate resources equitably and improve decision-making outcomes in these settings. His work aims to highlight systemic shortcomings of current healthcare and public health policies and create models that derive equitable outcomes using interpretable and accessible results.

The seminar series “Providing Better Healthcare through Systems Engineering” is presented by the U‐M Center for Healthcare Engineering and Patient Safety (CHEPS): Our mission is to improve the safety and quality of healthcare delivery through a multi‐disciplinary, systems‐engineering approach.

For the Zoom link and password, and to be added to the weekly e‐mail for the series, please RSVP or contact genehkim@umich.edu

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