Monday, June 19, 2017

SRL MS Thesis Defense of Seth Polsley. Monday, June 5. Title: Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication

Thesis Defense
Monday, June 5

Title: 
Identifying Outcomes of Care from Medical Records to Improve Doctor-Patient Communication



Seth Polsley

3 PM Monday, June 5, 2017

Teague 326

Abstract

Between appointments, healthcare providers have limited interaction with their patients, but patients have similar patterns of care. Medications have common side effects; injuries have an expected healing time; etc. By modeling patient interventions with outcomes, healthcare systems can equip providers with better feedback. In this work, we present a pipeline for analyzing medical records according to an ontology directed at allowing closed-loop feedback between medical encounters. Working with medical data from multiple domains, we use a combination of data processing, machine learning, and clinical expertise to extract knowledge from patient records. While our current focus is on technique, the utlimate goal of this research is to inform development of a system using these models to provide knowledge-driven clinical decision-making.


Biography

Seth Polsley is a graduate student in the Department of Computer Science and Engineering at Texas A&M University and a research assistant in both the Sketch Recognition Lab and College of Medicine Biomedical Informatics Research group. Before joining A&M, he received a B.S. in Computer Engineering from the University of Kansas where he worked with the Speech and Applied Neuroscience Lab. His research interests may be broadly described as intelligent systems, which has led to work on multiple learning- based systems in the domains of education and health.
 


Advisor: Dr. Tracy Hammond

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