Thesis DefenseMonday, 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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