Discovery Park Undergraduate Research Internship Program

"Mining patient-physician communication data to improve shared decision making"

About the Project

Project Time & Type:
Fall 2015 - DURI
Research area(s):
Healthcare Engineering
Project Description:
Informing and involving patients in decisions about their medical care is considered the greatest untapped resource in healthcare. Shared decision making is an approach where physicians and patients communicate together using the best available evidence when faced with the task of making decisions. In this research, we apply natural language processing and analytics to develop a prototype solution for mining speech data for improving patient-physician shared decision making during end-stage cancer prognosis and pain management consultant sessions.
Expected Student Contributions:
The internship will use statistical software packages such as R and SAS to conduct predictive statistical analysis and data mining analysis. The intern may also need to code in Matlab or C to perform natural language processing tasks.
Related Website(s):
Desired Qualifications:
GPA > 3.5 Special skills: proficient knowledge on using R/SAS to analyze real-world large data sets; strong ability in Python/C/Matlab coding
Estimated Weekly Hours:
Department awards independent research credits for this project?
Yes, 3 credit hours

Professor in Charge

Kong, Nan
biomedical engineering

Student Supervisor

Nan Kong
Associate Professor

Cooperating Faculty

Cleveland G. Shields
Human Development and Family Studies