2016 INFORMS Annual Meeting Program
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INFORMS Nashville – 2016
3 - The Hospital Readmission Reduction Program: Coordinating Service Rate And Readmission Reduction Efforts Kenan Arifoglu, University College London, k.arifoglu@ucl.ac.uk, Hang Ren, Tolga Tezcan We study the performance of Hospital Readmissions Reduction Program (HRRP) in inducing hospitals to choose the socially-optimal service rate and readmission reduction efforts. Readmissions pose two incentive misalignments between the social planner and each hospital. The HRRP in use cannot fix both misalignments simultaneously and thus cannot coordinate in general. We propose a coordinating contract, which highlights the function of the reimbursement rate in reducing readmissions. 108-MCC Operations Management Approaches Applied in Healthcare Settings: Achieving Patient Health and Operational Effectiveness. Sponsored: Health Applications Sponsored Session Chair: Yann Ferrand, Clemson University, 131-A Sirrine Hall, Celmson, SC, 29634, United States, yferran@g.clemson.edu 1 - Incentive Scheme For Diabetes Patients To Take A1c Test Quarterly Muer Yang, University of St. Thomas, Minneapolis, MN, United States, yangmuer@stthomas.edu, Sameer Kumar, Paul Bekx Type II diabetes patient is recommended to take A1c measurement quarterly. However, many patients do not. Comparing their empirical behavior and the optimal behavior derived from a mathematical model, we seek to recommend practical incentives that encourage patients to take A1c tests close to the optimal rational behavior. 2 - Operating Room Management When Considering Microbial Loads Brandon Lee, Clemson University, Clemson, SC, United States, woohyel@clemson.edu, Lawrence Fredendall, Kevin M Taaffe, Anjali Joseph We examine the OR activities and their effect on the microbial bacteria environment using air filters, culture dishes and video recordings. The goal is to identify how to reduce the microbial load in the OR and to identify the effect that traffic flows and door openings have on the microbial load. This research will discuss findings from a specific case study of orthopedic and pediatric OR’s at an academic health center in South Carolina. 3 - Reducing Patient Wait In The Emergency Department With New Patient Flow Models Yann Ferrand, Clemson University, yferran@clemson.edu, Todd F. Glass, Duane Steward Before opening a newly constructed emergency department, a discrete event simulation model was employed to validate novel patient flow concepts envisioned. This approach was uniquely applied to enable a specific operations strategy with a naive facility and staff, contributing to significantly lower average length of stay than comparable facilities. 4 - Implementing Lean Operations In Service Yunsik Choi, PhD Student, Clemson University, 100 Sirrine Hall, Clemson, SC, 29634-1305, United States, yunsikc@g.clemson.edu, Lawrence Fredendall, Aleda Roth Service industries have been applying lean principles to achieve continuous improvement. However, the industries have not fully used lean principles like top manufacturers have done. The study provides service providers with insight about how lean operations change employees’ behaviors to improve small steps every day. 109-MCC Modeling Systems for Public Health Sponsored: Health Applications Sponsored Session Chair: Hyojung Kang, University of Virginia, 102A Engineer’s Way, Charlottesville, VA, 22904, hkang@virginia.edu 1 - Optimizing Screening For Secondary Renal Cell Carcinoma Jennifer Mason Lobo, Assistant Professor, University of Virginia, Charlottesville, VA, United States, jem4yb@virginia.edu, Tracey Krupski Renal cell carcinoma is the most common form of kidney cancer. After surgery, TD23 TD24
patients are at risk for local and metastatic recurrence. We use our Monte Carlo simulation model to identify the optimal timing, duration, and modalities of imaging surveillance considering cost, radiation exposure, and cancer control. We present numerical results comparing the optimal strategies to current guidelines from four clinical organizations: American Urological Association, Canadian Urological Association, European Association of Urology, and National Comprehensive Cancer Network. 2 - Incentive Contract Design For Food Retailers To Reduce Food Deserts In The US Nathaniel D. Bastian, The Pennsylvania State University, University Park, PA, 16802, United States, nathaniel.bastian@fulbrightmail.org, Eric Swenson, Linlin Ma, Hyeong Suk Na In the US, obesity affects over 37% of the adult population and over 16% of the child and adolescent population. Although not-for-profit agencies cannot directly control what a person eats, they can influence the supply side of the obesity epidemic by incentivizing food retailers to open stores in regions of the US where food deserts exist. As a risk-sharing grant incentive program, we develop principal-agent based optimization models that determine the optimal subsidy these agencies should offer to food retailers to incentivize operation in certain regions. These subsidies are designed to create financially viable conditions for food retailers to offer high quality, healthy food alternatives. 3 - Modeling Supply, Demand, And Allocation In Liver Transplantation Wesley Marrero, University of Michigan, Ann Arbor, MI, United States, wmarrero@umich.edu, Jingyuan Wang, Justin Steuer, Eunshin Byon, Mariel Sofia Lavieri, David W Hutton, Neehar D Parikh Liver transplantation can be a lifesaving intervention for patients with end-stage liver disease. Unfortunately, there has been an increase in the disparity among the number of patients listed for liver transplants and the liver transplants performed. We first aimed to forecast the availability for liver donors in the US considering populations shifts. Furthermore, geographical redistricting models have been proposed as an alternative to decrease the supply-demand inequity. We then aimed to understand the impact of redistricting on the availability of donors per population. Lastly, we aimed to predict the future demand for liver transplantation as a function of obese population in the US. 4 - Simulation And Spatio-temporal Modeling Approaches For Surveillance Of Hospital-acquired Infections Hyojung Kang, University of Virginia, Charlottesville, VA, 22904, United States, hkang@virginia.edu, Jennifer Mason Lobo The prevalence and mortality of antibiotic-resistant infection has increased globally and in the U.S. Traditionally, studies have focused on identifying transmission chains of infected patients as the reservoir for organisms to be transferred to new patients in order to track hospital outbreaks with drug resistant pathogens. This study aims to understand the role care providers and other non-patient reservoirs within a hospital play in transmission of the infection. We will develop agent-based simulation models using various sources of data to analyze risk factors and evaluate what-if scenarios. TD25 110A-MCC Scheduling with Applications Invited: Project Management and Scheduling Invited Session Chair: Hui-Chih Hung, National Chiao Tung University, 1001 University Rd., MB103, Hsin-Chu, 300, Taiwan, hhc@nctu.edu.tw 1 - On Scheduling Restoration Tasks For Pipeline Networks In Post- disaster Management I-Lin Wang, Professor, National Cheng Kung University, Tainan, Taiwan, ilinwang@mail.ncku.edu.tw Pipeline networks that ship flows of gas or water are important for daily living support. Suppose arcs of a pipeline network are damaged by disasters and the resources (equipment, manpower, and time) required to restore each damaged arc have been estimated. We investigate when and who to restore which arcs such that the flows over pipelines become accessible for people along all arcs at minimum total waiting time in the post-disaster management. We propose a network reduction scheme, an integer program, and heuristics for solving this special resource constrained project scheduling problem. 2 - Scheduling Sequential Locks Along Waterways Frits Spieksma, KU Leuven, frits.spieksma@kuleuven.be Inland waterways form a natural network infrastructure with capacity for more traffic than is currently the case. Transportation by ship is widely promoted as it is reliable, efficient and an environmental friendly way of transport. Nevertheless, locks managing the water level on waterways may constitute bottlenecks for transport over water. We aim to minimize total waiting time of ships in a setting where locks are located in a sequential manner along a waterway.
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