2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
511
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,
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,
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,
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, 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, ,
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.
WE90