Informs Annual Meeting 2017

MB10

INFORMS Houston – 2017

MB07

We present a simple model of matching in stochastic networks and discuss the role of “timing” in the efficient allocation of kidneys in organ markets. We will show that, under some conditions, creating market thickness is highly valuable. Nevertheless, even the most efficient matching policies are constrained with the fundamental thickness of the market, which is the arrival of donors to the system. We will , therefore, ask a new question: What are the ways we can increase the arrival rate of donors? We will discuss two radical solutions: Creating a global exchange market, and removing the problem of double-coincidence of wants through a “token” system. 2 - Jumping the Line, Charitably: Analysis and Remedy of Donor-priority Rule Tinglong Dai, Johns Hopkins University, 100 International Dr, Baltimore, MD, 21202, United States, dai@jhu.edu, Ronghuo Zheng, Katia P. Sycara The ongoing shortage of organs for transplantation has generated an expanding literature on organ allocation. By contrast, organ donation has been little explored. In this paper, we develop a parsimonious model of organ donation to analyze the donor-priority rule, which grants registered organ donors priority in receiving organ. In view of the potentially undesirable social-welfare consequences, we propose a freeze-period remedy. 3 - Expanding the Donor Pool: the Use of Marginal Organs for Transplantation Sait Tunc, University of Chicago, Chicago, IL, United States, sait.tunc@chicagobooth.edu, Burhaneddin Sandikci Despite the efforts to increase the supply of donated organs for transplantation, organ shortage keeps increasing as the demand outpaces supply. We study the use of marginal organs for transplantation, which has been receiving increased attention in the medical community to alleviate the burden of shortages, in a queueing theoretic framework. In particular, we examine the equilibrium impact of offering marginal organs to patients who have low access to high quality organs, and conduct welfare analysis to understand the effect of individuals’ decisions on social welfare. We provide policy incentives to increase the utilization of marginal organs while improving the social welfare. 4 - The Effects of Patient Portals on Kidney Allocation and Transplant Outcomes Yeongin Kim, University of Texas-Dallas, Richardson, TX, Yeongin.Kim@utdallas.edu, Mehmet U.S. Ayvaci, Srinivasan Raghunathan, Bekir Tanriover The recent healthcare reform promotes the use of information technology, such as patient portals, to provide patients better access to information source. Motivated by the kidney transplant decision, we empirically analyze the impact of the patient portals adoption on outcomes including time to transplant and time to drop out of the transplant waiting list. We show that the adoption of a patient portal is positively associated with the probability of receiving a deceased- donor kidney and negatively associated with the probability of receiving a living- donor kidney. The probability of drop-out from the waiting list due to worsened health conditions decreases with the adoption of a patient portal. 330B Improving Healthcare Operations Sponsored: Health Applications Sponsored Session Chair: Claudia Rosales, Michigan State University, East Lansing, MI, 48824, United States, Rosales@broad.msu.edu 1 - On the Relations between Operational Focus, Operating Experience, and Operational Performance: Evidence from Patient Discharges in Cardiology Operating Units David Zepeda, PhD, Northeastern University, 214 Hayden Hall, 360 Huntington Avenue, Boston, MA, 02115, United States, d.zepeda@northeastern.edu, Gilbert N. Nyaga, Gary J. Young Operational focus is of much interest in health care where a long standing debate has existed over advantages/disadvantages of general vs specialty hospitals. However, there has been relatively little research in the OM literature that considers the intersection of operational focus and operating experience. Using patient discharge records from 294 California hospitals over a five-year period, we empirically evaluated the inter-relationship between operational focus and operating experience in cardiology operating units. Findings suggest that the effects of operational focus and operating experience on operational performance are complementary, but the benefits come at a cost to payers. MB10

322A Modeling of Pharmacy Operations Sponsored: Health Applications Sponsored Session Chair: Bryan A Norman, University of Pittsburgh, Pittsburgh, PA, 15261, United States, banorman@pitt.edu 1 - Determining Optimal Policies for Medication Dispenses to In-patient Units Anna Svirsko, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA, 15260, United States, ACS167@pitt.edu, Bryan A. Norman, Seth Hostetler While many hospital pharmacies have seen drastic improvement in their service due to technological improvements such as automated dispensing cabinets (ADCs) and pharmacy robots, these systems continue to faces challenges with how best to use these technologies. We have created a math programming model which reduces the number of missing medications and the system cost by identifying a standard pathway through which medications are dispensed to patients with considerations for the medication ordered, the dose type, the unit, and the forecasted demand for the medication. Key findings are illustrated through reviewing the results of the math program on the in-patient units of a local health system. 2 - Locating an Automated Central Filling Pharmacy for a Community Pharmacy Network Hamdy Salman, University of Pittsburgh, Pittsburgh, PA, United States, hgs6@pitt.edu Community pharmacies play an important role in providing patient safety by providing Medication Therapy Management (MTM). One of the strategies to provide more MTM in a community pharmacy is to use an automated Central Fill. An automated central fill offloads part of the pharmacy’s prescription filling process. Our research focuses on locating a central fill that can provide relief for multiple pharmacies under stochastic demands. We provide a chance constrained capacitated facility location model when pharmacy demands are variable. The results include a comparison between using a chance constraint model and using a simpler policy to determine the central fill location. 3 - Automated Dispensing System Inventory Policy Vera Tilson, University of Rochester, 3-343 Carol Simon Hall, W.E. Simon Graduate School of Business, Rochester, NY, 14627, United States, Vera.Tilson@simon.rochester.edu, Gregory Dobson We discuss ILP formulation for computing inventory policy parameters for an Automated Medication Dispensing System. 4 - Modeling Clinical and Operational Workflows in Community Pharmacies Kathryn Smith, NCSU, 2051 Trexler Court, Raleigh, NC, 27606, United States, knsmith4@ncsu.edu, Julie Simmons Ivy As healthcare moves from fee-for-service to outcomes-based performance, community pharmacies are providing enhanced clinical services such as comprehensive medication reviews (CMRs). Through CMRs, pharmacists identify potential drug therapy problems that may interfere with patient adherence or cause adverse outcomes. This information facilitates communication between clinicians and pharmacists and can improve care. We developed a discrete event simulation of the clinical and operational workflows of multiple community pharmacies to evaluate patient wait times, prescription flow times, and staff utilization. Funding Opportunity Notice: “The project described was supported by Grant Number 1C1CMS331338 from the Department of Health and Human Services, Centers for Medicare & Medicaid Services.”General Disclaimer: “The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the U.S. Department of Health and Human Services or any of its agencies.” 322B The Supply Side of Organ Transplantation Systems Sponsored: Health Applications Sponsored Session Chair: Burhaneddin Sandikci, University of Chicago, Chicago, IL, 60637, United States, burhan@chicagobooth.edu Co-Chair: Sait Tunc, University of Chicago, Chicago, IL, 60637, United States, Sait.Tunc@chicagobooth.edu 1 - Allocative Efficiency and New Supply in Kidney Exchange Mohammad Akbarpour, Stanford University, Stanford, CA, United States, mohamwad@stanford.edu MB08

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