Discovery Park Undergraduate Research Internship Program

"Quality-Adjusted Hospital Productivity Analysis"

About the Project

Project Time & Type:
Fall 2012 - DURI
Research area(s):
Healthcare Systems Engineering, Industrial Engineering
Project Description:
Project Overview: Over $500 billion is spent in U.S. hospitals each year. Given that a third to a half of all healthcare expenditures are waste, methods are needed to assess the productivity and efficiency of hospitals. Existing methods have significant limitations and do not adequately account for the quality of service provided. Accurate assessments could be used to reward and penalize providers, identify best-practices, and empower consumers. Therefore, the purpose of this project is to combine data on the inputs, outputs, and quality of production from both the Centers for Medicare & Medicaid Services (CMS) and the Agency for Healthcare Research and Quality (AHRQ), and apply state-of-the-art productivity tools.
Expected Student Contributions:
Project Description: This project consists of three primary tasks to be fulfilled by the DURI student in collaboration with the project lead. First, the student will merge three databases: the HCUP National Inpatient Sample, the CMS Hospital Cost Report Information System, and the CMS Hospital Compare database. The second task will be to apply filtered estimation techniques and software from AHRQ to enhance estimates of hospital quality from the raw data. The final task will be to apply models to assess the productivity of the hospitals. Completion of these tasks will not only benefit the student through increased knowledge and ability of data handling and productivity analysis techniques, but also through familiarity and exposure to a large and increasingly important industry in global economies, and datasets from the most prominent organizations in the field.
Related Website(s):
Desired Qualifications:
Expectations/Qualifications: The student would work an estimated 10 hours/week on the project and report progress on a regular basis. Familiarity with data handling and programming a plus, no one particular software required, but Python preferred.
Estimated Weekly Hours:
Department awards independent research credits for this project?

Professor in Charge

Pope, Brandon
Industrial Engineering

Student Supervisor

Brandon Pope
Associate Research Scientist

Cooperating Faculty

Steve Witz
Regenstrief Center for Healthcare Engineering