2016 INFORMS Annual Meeting Program

WE90

INFORMS Nashville – 2016

WE90 Broadway D-Omni Health Care, Modeling XVI Contributed Session Chair: Babak Hoseini, PhD Candidate, NJIT, 10 Hill Street, Apartment 2N, Newark, NJ, 7102, United States, bh77@njit.edu 1 - Bi-criteria Appointment Scheduling Of Patients With Heterogeneous Service Sequences Payman Jula, Associate Professor, Simon Fraser University, Beedie School of Business, WMC 5358, Vancouver, BC, V5A 1S6, Canada, pjula@sfu.ca We address the appointment scheduling of patients with heterogeneous service sequences and stochastic service times in multi-stage facilities, while considering the availability and compatibility of resources with presence of a variety of patient types. Mathematical programming, simulation, and multi-objective Tabu Search methods are used to achieve our bi-objectives of minimizing the waiting time of patients, and the completion time of the facility. Results of a case study and insights for practitioners are provided. 2 - Wait Time Announcements At Hospital Emergency Departments Marco Bijvank, University of Calgary, 2500 University Dr. NW, Calgary, AB, T2N 1N4, Canada, marco.bijvank@haskayne.ucalgary.ca, Zhankun Sun A number of Canadian hospitals have started publishing live emergency department (ED) wait times online in an effort to provide patients with expectations on how long they will have to wait to be seen for non-urgent care after initial assessment by a triage nurse. We accurately predict the state- dependent wait times at emergency departments based on a busy-period analysis for a multi-class, multi-server priority queue with delayed feedback. We illustrate the robustness and impact of the predictor on patient flow and patient care with a case study at four major hospitals in the Calgary area.

3 - Modeling The Impact Of Mandated Quality Outcome Thresholds On Transplant Center Wait Times, Patient Mortality, And Unused Organs Mohammad Delasay, Post-Doctoral Fellow of Operation Managemet, Tepper School of Business, Carnegie Mellon University, 6315 Forbes Avenue, #1105, Pittsburgh, PA, 15217, United States, delasays@cmu.edu, Sridhar R Tayur We develop a queueing model of a transplant center’s waiting list where patients arrive in two health states (with health deterioration over time) leading to differing post-transplant outcomes if transplanted. Offered organs, if accepted, are allocated to each health state based on a randomized policy. We derive performance metrics including wait list mortality. We extend the model to multiple health states using fluid approximations. We investigate the impact of the mandated survival outcome benchmarks on the transplant center’s self- optimized allocation policy and their unintended negative consequences, including increase in the wait list mortality and the fraction of unused organs. 4 - Primary Care Scheduling With Urgent Patients In Carve Out Appointment System Babak Hoseini, PhD Candidate, NJIT, 10 Hill Street, Apartment 2N, Newark, NJ, 07102, United States, bh77@njit.edu, Wenbo (Selina) Cai In this work, we consider a carve-out scheduling where certain slots are allocated for the urgent patients while the rest are reserved for appointments requested in advance and some slots may be double booked if the demand arise. We develop a stochastic model under this policy to optimize the social welfare. Our model takes into account the stochastic demands of routine and urgent patients as well as no- shows and derives the optimal numbers of open slots and the maximum number of patients allowed being double-booked. We also develop heuristic schedules and compare their performances with the optimal schedules obtained from the complete enumeration algorithm.

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