Informs 2015

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INFORMS Philadelphia – 2015
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2 - The Effect of Price Ending on Consumer Behavior
Yoshiyuki Okuse, Professor, Senshu University, 2-1-1,
Higashi-Mita, Tama-Ku, Kawasaki, 2148580, Japan,
In the area of pricing research, a lot of researches on price endings have been
developed. The purpose of this research is to specify the effect of price endings on
consumer behavior in Japan.
3 - I Like using My Mobile Apps But…
A Study of Post Consumption Appraisal
Anubha Mishra, Assistant Professor Of Marketing,
University of Idaho, 875 Perimeter Dr, Moscow, ID, 83844,
United States of America,
The study of mobile app consumption suggested three distinct dimensions. Users’
evaluation of control, freedom, newness, assimilation, and fulfillment of need
from apps was captured by Perceived Benefits; Perceived Apprehension, covered
chaos, enslavement, obsolesce, isolation, and creation of needs and Perceived
Obscurity, examined ambiguity. Perceived usefulness positively influenced all
dimensions indicating that while apps may be perceived as helpful, it can also
create isolation.
4 - Increasing User Engagement with Mobile Analytics
Chaitanya Sagar, Chief Executive Officer, Perceptive Analytics,
353 West 48th Street, New York, NY, 10036,
United States of America,
Mobile represents a tectonic platform shift with great opportunities and
challenges. 80% of users do not return to an app after the first day of
downloading it. 80% of total app revenue is ‘in-app’ purchases - so unless an app
can engage users, it cannot generate significant revenue. Add to that, top 20%
apps generate 97% of the revenue making fierce competition among 1.2 million
apps. I focus on the heart of this problem increasing engagement with users
specifically using push-notifications.
5 - Maximum Entropy Models of Individual Choice
Robert Bordley, Expert Systems Engr Professional, Booz-Allen-
Hamilton, 525 Choice Court, Troy, MI, 48085, United States of
America, , Ehsan Soofi
Many forecasts are based on economic models of individual choice. But these
models assume actual individual choice is rational, an assumption which some
viewed as having been refuted. To avoid making this assumption, this paper
shows that maximum entropy models can approximate general discrete choice
models. This paper also shows how to parameterize such models in order to use
them for forecasting.
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41-Room 102A, CC
Joint Session MSOM-Health/HAS: Healthcare
Operations
Sponsor: Manufacturing & Service Oper
Mgmt/Healthcare Operations
Sponsored Session
Chair: Alireza Sabouri, Assistant Professor, Haskayne School of
Business, University of Calgary, Calgary, AB, Canada,
1 - A Queueing Model for Liver Transplant Waiting List Process
Zinan Yi, Operations Research, North Carolina State University,
Raleigh, NC, United States of America, Maria
Mayorga, Stephanie Wheeler, Sidney Barritt, Eric Orman
Liver transplant is the only therapy for patients with end stage liver disease. The
composition and dynamics of the waiting list are the interest of both patients and
doctors. In this paper, we used the United Network for Organ Sharing and Organ
Procurement and Transplantation Network database to develop a queueing model
for the waiting list population. Using the model, we will predict future waiting list
and other characteristics.
2 - Investigating Steroid Withdrawal Strategies for Kidney
Transplant Recipients
Yann Ferrand, Assistant Professor, Clemson University,
100 Sirrine Hall, Clemson, SC, 29634, United States of America,
, Vibha Desai, Christina Kelton,
Teresa Cavanaugh, Jaime Caro, Jens Goeble, Pamela Heaton
We evaluate various steroid withdrawal strategies for kidney transplant recipients.
The goal is to minimize major complications resulting from these complex drug
regimens over the long term. We develop a model calibrated with an econometric
study of patient data from a national registry to simulate the long-term course of
these patients. We report on the frequency and timing of adverse events and
identify trade-offs in the steroid withdrawal strategies.
3 - Dynamic New Patient Consult Scheduling for Medical Oncology
Antoine Sauré, University of British Columbia, 2053 Main Mall,
Vancouver, BC, V6T 1Z2, Canada, ,
Claire Ma, Jonathan Patrick, Martin Puterman
Motivated by an increasing demand for cancer care and long waits for new
patient consults, we undertook a study of medical oncology scheduling practices
at a regional cancer center. As a result, we formulated and approximately solved a
discounted infinite-horizon MDP model that seeks to identify policies for
allocating oncologist consultation time to incoming new patients, while reducing
waits in a cost-effective manner. The benefits from the proposed method are
evaluated using simulation.
4 - Optimal Issuing Policies for Hospital Blood Inventory
Alireza Sabouri, Assistant Professor, Haskayne School of Business,
University of Calgary, Calgary, AB, Canada,
, Steven Shechter, Tim Huh
We propose a model for allocating red blood cells for transfusion to patients,
which is motivated by recent evidence suggesting that transfusing older blood is
associated with increased mortality rate. We study the properties of blood
issuance policies that balance the trade-off between “quality” measured in
average age of blood transfused and “efficiency” measured in the amount of
shortage. Based on our analysis, we design efficient issuance policies and evaluate
their performance.
TC42
42-Room 102B, CC
Joint Session MSOM-Health/HAS: Workarounds,
Errors and Interruptions in Healthcare
Sponsor: Manufacturing & Service Oper
Mgmt/Healthcare Operations
Sponsored Session
Chair: Anita Tucker, Associate Professor, Brandeis University,
415 South Street, Waltham, MA, 02453, United States of America,
1 - Hospital Operations and Patient Satisfaction
Sarah Zheng, Doctoral Candidate, Boston University, 16 Gold Star
Rd., Cambridge, MA, 02140, United States of America,
, Amy McLaughlin, Aubrey Podell,
Anita Tucker, Z. Justin Ren
We look at the impact of operations performance on service quality. Our study
site is a nationally-ranked major hospital in the Boston area. Service quality is
measured by both medical errors and patient satisfaction. Daily operations are
measured by performance in about a dozen of its supporting services. We attempt
to answer questions such as: What are the operational drivers of medical errors?
To what extent does higher operations performance lead to higher patient
satisfaction?
2 - Medical Errors in the Healthcare Delivery: An Econometric
Analysis of the Operational Sources
Sriram Thirumalai, Associate Professor, Texas Christian
University, Neeley School of Business, TCU Box 298530,
Fort Worth, TX, 76116, United States of America,
Medical errors in the delivery of care is a significant cause of concern in
healthcare supply chains. Based on an econometric analysis of a panel dataset on
medical errors, this study serves to examine the sources of medical errors and
error mitigation in the delivery of care in hospitals.
3 - The Impact of Workarounds on Patient Falls and Pressure Ulcers
Anita Tucker, Associate Professor, Brandeis University, 415 South
Street, Waltham, MA, 02453, United States of America,
We present results from a survey of 100 medical/surgical nursing units that tests
the impact of workarounds and operational failures on nursing sensitive patient
outcomes, such as pressure ulcers, falls, patient satisfaction and infections.
4 - Batching of CSP Medication in In-Hospital Pharmacy
Vera Tilson, Simon School of Business, University of Rochester,
Rochester, NY, 14627, United States of America,
, Gregory Dobson, David Tilson
Hospital pharmacy departments batch production of Compounded Sterile
Products (CSP). A change in a patient’s condition can lead to change or
cancellation of physician’s orders. A very large proportion of orders are cancelled,
which leads to waste custom compounded medication. We create an integer
programming model to help pharmacies plan batch production trading off the cost
of waste and the cost of employee labor.
TC41