PhD Proposal Defense
- Friday, February 6, 2015 at 1:00pm
- Cobleigh Hall, 429 - view map
A Mental Workload Based Scheduling Model to Improve Patient Work Flow in a Cancer Center
Over the past decade, healthcare systems in the United States have faced competing challenges such as reducing costs and improving efficiencies. Currently, the United States healthcare system is considered the most expensive in the world; 53% per capita more than the second-highest country. The present study is focused on increasing resource productivity and efficiency in healthcare systems, specifically at Bozeman Deaconess Cancer Center (BDCC) taking into consideration resource mental workload. The demand of the center has increased in approximately 16% each year since 2011. The BDCC strategic objectives are to improve the distribution and supply of resources, to maximize service coverage, minimize patient wait time, and maximize service capacity of the center. The proposed research will measure and validate mental workload in the infusion area of BDCC using two perceptual tools, NASA-TLX and SWAT, as well physiological responses. The purpose is to establish the number of nurses and pharmacists necessary in the infusion area to keep an optimal balance of the activities. This study will take into consideration the human workload balance as the main component of the proposed mathematical model rather than only a mathematical solution that does not considers the physical and mental capacity of the human resources. Finally, a mathematical model will be developed and tested through a computer simulation to validate and explore the feasibility of the scheduling policies.
- Department of Mechanical & Industrial Engineering