Discovery Park Undergraduate Research Internship Program

"Simulation Modeling of Cardiovascular Disease Diagnostic Service Delivery Process"

About the Project

Project Time & Type:
Fall 2015 - DURI
Research area(s):
Healthcare Engineering
Project Description:
Cardiovascular disease (CVD) is the leading cause of death in the United States (US), accounting for more than 2,000 deaths each day and more than one third of total deaths. CVD inflicts a great socioeconomic burden in American society. In recent years the annual spending on CVD has exceeded $300 billion, equivalent to more than 10% of the total annual healthcare spending in the U.S. The disease often leads to permanent disabilities and subsequent long-term care, not only significantly impact those afflicted by it but also their caretakers. Despite widespread promotion of preventive measures such as smoking cessation and healthy lifestyles, as well as increased adoption of cholesterol reduction therapies, cardiac care need has increased steadily with rapid population aging. As a result, cardiac care providers are expected to experience an increased shortage on care capacity. For example, a catherization laboratory often times may not be able to serve the community effectively due to insufficient diagnostic imaging capacity, which may cause delayed CVD diagnosis and treatment. Facing this challenge, many cardiac care providers are seeking optimal capacity acquisition and replacement solutions. However, almost all providers make isolated planning decisions reactively and in an ad-hoc manner. We propose a multistage stochastic programming approach to optimize capacity planning decisions (i.e., replacement, relocation, and acquisition) under future uncertainties arising in demand forecast, equipment degradation, and technology breakthrough. To offer managerial insights with the proposed model, we need to understand the various complexities in the delivery process, especially those related to equipment degradation and service heterogeneity, and subsequently populate the model with detailed input analysis and modeling. This project is intended to achieve this specific aim.
Expected Student Contributions:
The main contribution is expected to develop a simulation model and conduct "what-if" scenario analysis. In addition, the student will be asked to review equipment utilization and maintenance charts, as well as cardiac care diagnosis service utilization charts. The student may also be requested to shadow cardiologists to better understand the actual patient flow.
Related Website(s):
Desired Qualifications:
proficient use of Matlab; good training in SAS or R.
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

Craig Goergen
Michelle Hare
Indiana University Health Methodist