2015 Informs Annual Meeting

SC39

INFORMS Philadelphia – 2015

2 - A “Unified Field Theory” of Accidental Death Risk? Arnold I Barnett, Professor, MIT, E62-568, MIT, Cambridge, MA, 02139, United States of America, abarnett@mit.edu We consider cross-national mortality risk tied to accidents in various forms of transport, and also unintentional deaths from other causes like industrial accidents. We relate these risk metrics to national life expectancies absent these accidents (e.g, from diseases), and inquire whether an underlying factor akin to IQ explains common patterns of dispersion for various causes of accidental death risk. 3 - Modeling the HIV Treatment Cascade Edward Kaplan, Beach Professor Of Operations Research, Yale University, School of Management, 165 Whitney Avenue, New Haven, CT, 06511, edward.kaplan@yale.edu, Gregg Gonsalves Only a quarter of HIV-infected persons in the US have undetectable viral loads. Increasing the number virally suppressed requires increasing the throughput of the HIV “treatment cascade” from infection to diagnosis, linkage to care, and retention in care; and also time spent suppressed. Using available data, we estimated stage times and progression probabilities in the treatment cascade, enabling identification of bottlenecks and a basis for increasing the number virally suppressed. 4 - Dynamic Games of Drug Legalization: Death and Taxes? Jonathan Caulkins, Professor, Carnegie Mellon University, Several states and countries have legalized marijuana; others contemplate legalizing cocaine. These actions alter incentives for other jurisdictions to change their policies, creating a giant dynamic game. This paper discusses insights from viewing this as a dynamic game and associated insights about limitations of game theoretic analysis for informing policy. SC37 37-Room 414, Marriott Health Care Modeling and Optimization III Contributed Session Chair: Amir Mousavi, PhD Candidate, The George Washington University, Washington, DC, United States of America, amousavi@gwu.edu 1 - Implementing Night-shift Scheduling System for Residents in Aichi Medical University Hospital Mari Ito, Nanzan University, 18 Yamazato-Cho, Showa-Ku, Nagoya, Japan, d13mm002@nanzan-u.ac.jp, Akira Imamura, Takuya Ito, Rina Nakayama, Aino Onishi We develop a support system for generating a night-shift scheduling for residents in Aichi Medical University Hospital. We formulate the problem as a weighted constraint satisfaction problem using weights decided by Analytic Hierarchy Process. We implement the system on a standard PC and obtain better schedules within a few seconds. 2 - Scheduling System for the Resident Training Program in Aichi Medical University Hospital Aino Onishi, Nanzan University, 18 Yamazato-cho, Showa-ku, Nagoya, Japan, m14ss008@nanzan-u.ac.jp, Akira Imamura, Rina Nakayama, Mari Ito, Takuya Ito We develop a system that makes monthly rotation schedule of training program of the residents. We formulate the problem as a 0-1 integer programming problem, and solve it using CPLEX. The system is in trial use in the hospital, and the schedule obtained improves the quality of the resident training. 3 - Improving Timeliness in Lung Cancer Diagnosis Process Hyo Kyung Lee, UW Madison, 1513 Engineering Drive, Madison, WI, 53706, United States of America, hlee555@wisc.edu, Raymond Osarogiagbon, Xinhua Yu, Nicholas Faris, Fedoria Rugless, Jingshan Li, Feng Ju Lung cancer diagnosis procedure is a series of complex and fragmented investigation, resulting in undesirable delays in wait times. Bottleneck analysis method is applied to identify the waiting time whose reduction can lead to the largest improvement in the overall efficiency of lung cancer diagnosis procedure. The impact of reducing waiting times on the timeliness of lung cancer diagnosis process is quantified and the severities are compared to provide a way to alleviate wait time delays. Heinz College, 5000 Forbes Ave, Pittsburgh, PA, 15237, United States of America, caulkins@andrew.cmu.edu

4 - Appointment Scheduling and Overbooking to Improve Patient Access and Reduce Patient Backlog Linda Laganga, Vp Of Quality Systems, Mental Health Center of Denver, 4141 East Dickenson Place, Denver, CO, 80302, United States of America, linda.laganga@mhcd.org, Stephen Lawrence Patient no-shows continue to trouble outpatient clinical service delivery. We continue our piloting and implementation of scheduling models developed in our earlier research to develop new techniques to assist clinics in meeting their goals to improve patient flow and reduce backlog in scheduling. We utilize medical practice experience to develop realistic estimates of costs and their effect on the selection of high-performing scheduling alternatives. 5 - Scheduling Physicians to Improve Emergency Room Efficiency Shift schedules of emergency room physicians may span several months and involve rules such as rest periods between consecutive shifts and balancing different types of shifts fairly across physicians. Schedules must consider the individual exceptions, preferences, availability and hired hours of each provider. Our goal is to create schedules that also improve patient flow by taking physician performance into account. We present integer programming models that were tested at the GWU hospital. SC38 38-Room 415, Marriott Panel Discussion: Relevant OM / MS Research: Why? What? How? Cluster: Business Model Innovation Invited Session Chair: Chris Tang, Edward Carter Professor of Business, UCLA, 110 Westwood Plaza, Los Angeles, CA 90095, United States of America, chris.tang@anderson.ucla.edu 1 - Relevant OM / MS Research: Why? What? How? Moderator:Chris Tang, Edward Carter Professor of Business, Amir Mousavi, PhD Candidate, The George Washington University, Washington, DC, United States of America, amousavi@gwu.edu, Hernan Abeledo, Jesse Pines SC39 39-Room 100, CC New Directions in Marketing - Operations Interface Cluster: Operations/Marketing Interface Invited Session Chair: Vahideh Abedi, Assistant Professor, California State University Fullerton, Fullerton, United States of America, vabedi@exchange.fullerton.edu 1 - Attention, Reward and Customer Strategies for Sustainable Growth The key aspects of human behavior are governed by three fundamental neuro- biological processes and their interactionóattention, reward and memory. The study of human behavior commonly focuses on attention or reward/aversion as independent functions. This project studies how these processes interact at the systems level and maps a functional relationship between them. We specifically focus on variables for reward/aversion as empirically measured with a neuroscience-based keypress paradigm that quantifies variables from relative preference theory and variables implicated in attention as measured by signal detection theory. Kalyan Raman, Professor, Northwestern University, Medill School, Evanston, IL, United States of America, kalyraman@gmail.com, Vijay Viswanathan UCLA, 110 Westwood Plaza, Los Angeles, CA 90095, United States of America, chris.tang@anderson.ucla.edu, Panelists: Kalyan Singhal, Teck Ho Three editors (Management Science, Manufacturing & Service Operations Management, and Production & Operations Management) will share their thoughts on ways to conduct relevant research in OM / MS by examining three fundamental questions: “why?”, “what?” , and “how?”

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