2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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2 - CPOE Adoption Impacts On Medicare Reimbursements
Hilal Atasoy, Temple University,
Computerized Physician Order Entry (CPOE) systems allow physicians to
seamlessly enter information in patient records compared to paper-based records,
potentially leading to higher quality of care. On the other hand, the ease of
capturing information into electronic medical records can be deliberately used by
hospitals to inflate their reimbursement requests from Medicare by overstating
the complexity of patients’ diagnoses. We study the relationship between CPOE
adoption and reported patient complexity of hospitals. We find that, on average,
the adoption of CPOE systems is associated with an increase in the case mix
index. This increase is significantly higher among for-profit hospitals.
3 - Not What The Doctor Ordered: Physician Mobility And
Technology Adoption
Brad N Greenwood, Temple University,
Corey M Angst,
Kartik Krishna Ganju
In this work we investigate the relationship between EMR implementation and
physician mobility. Strikingly, although significant anecdotal evidence would
suggest that EMR implementation is associated with an exodus of physicians, we
find that this reaction is strongly moderated by hospital characteristics, physician
characteristics, and the type of EMR implemented.
4 - Detecting Anomalous Patterns Of Care Using Health
Insurance Claims
Sriram Somanchi, University of Notre Dame, 344 Mendoza College
of Business, Notre Dame, IN, 46556, United States,
, Edward McFowland
Patient care data using health insurance claims can be used to improve clinical
practice by analyzing patterns across patients and providing actionable insights.
Our goal in this project is to analyze this complex patient care data in order to
identify interesting patterns in patient care that have led to anomalous health
outcomes. Specifically, we detect treatments in the outpatient patient care that
have significantly deviated from the regular treatment process and have affected
health outcomes either negatively or positively. This can further help both in
terms of improving patient health and reducing health care costs.
SD57
Music Row 5- Omni
Joint Session BOM/RMP: Consumer Behavior in
Pricing and Loyalty
Sponsored: Behavioral Operations Management
Sponsored Session
Chair: Anton Ovchinnikov, Queen’s School of Business, Kingston, ON,
Canada,
1 - Impact Of Tiered Incentives On Behavior: Case Of The Airline
Loyalty Programs
Tong Guo, University of Michigan, Stephen M Ross School of
Business, 701 Tappan Street, Ann Arbor, MI, 48109, United States,
A. Yesim Orhun
This paper explores the impact of status incentives provided by a major U.S.
airline on the purchasing behavior of its frequent flier program members. We
leverage a database of complete transaction histories of more than six million
members to study within-person changes in the distribution of price and route
characteristics of tickets purchased from the airline as members progress towards
a status goal. We present novel empirical manifestations of increased customer
loyalty on market outcomes.
2 - Stockpile Or Redeem: How Do Consumers Value Loyalty
Program Points
So Yeon Chun, McDonough School of Business, Georgetown
University, , Rebecca Hamilton
Loyalty programs are designed to reward customers for buying more or buying
more frequently from a firm. Typically, customers earn points for their purchases,
which can then be exchanged for additional products and services. In a sense,
these loyalty program points function as a currency that consumers can spend
(redeem) on a purchase instead of money. We conduct a series of behavioral lab
experiments to examine differences in the way customers think about loyalty
points as compared to money, and how they choose whether to make a purchase
with cash or points.
3 - Which Customers Are More Valuable In A Dynamic Pricing
Situation?
Jue Wang, Queen’s School of Business, Kingston, ON, Canada,
, A. Yesim Orhun, Anton Ovchinnikov
We consider a firm that dynamically price its inventory and examine whether
customers who purchase at higher prices indeed add higher marginal value to the
firm. We present modeling and computational results which are calibrated on a
unique data set from a major travel firm.
4 - Strategic Consumers, Revenue Management And The Design Of
Loyalty Programs
Anton Ovchinnikov, Queen’s School of Business,
So Yeon Chun
Several major firms recently switched their loyalty programs from
quantity/’mileage’-based toward ‘spending-based’. We study the impact of this
switch on firm’s profit and consumer surplus. We present a novel model of
strategic consumers’ response to firm’s pricing and loyalty program decisions,
incorporate such response into the firm’s pricing and loyalty program design
problem, compare several plausible loyalty-program designs, and discuss
managerial implications.
SD58
Music Row 6- Omni
Energy IV
Contributed Session
Chair: Byungkwon Park, Ph.D student, University of Wisconsin -
Madison, 202 N Eau Claire Avenue, # 314, Madison, WI, 53705,
United States,
1 - Two-stage Multi-agent Stochastic Optimization In Power Systems
Shasha Wang, Clemson University, 107 Wyeth LN, Central, SC,
29630, United States,
Harsha Gangammanavar, Sandra D Eksioglu, Scott J. Mason
We present a two-stage stochastic optimization framework for a multi-agent
system in which the global objective function incorporates individual agents’
objective functions. Our approach applies to the problem of managing energy in
microgrids that contain integrated renewable energy resources. A sequential
sampling-based, stochastic approach—stochastic decomposition—is used to
analyze the problem. Computational experiments are conducted and demonstrate
the effectiveness of our proposed methodology using real world case study data.
2 - Analysis Of Co2 Emission Performance And Abatement Potential
For Municipal Industrial Sectors In Jiangsu, China
Jie Zhang, Hohai University, Nanjing, China,
Jigan Wang, Zhencheng Xing
As the main source of CO2 emissions in China, industrial sector has been faced
with the tremendous pressure of reducing emissions. Based on the analysis of
SBM-Undesirable model, GIS visualization method, kernel density estimation and
industrial abatement model, we find that there exists a significant spatial
inequality of CO2 emission performance across various regions in Jiangsu, the
largest CO2 emitter in China, but the regional disparity has been narrowing
during our study period. Additionally, average annual industrial CO2 emission
reductions in Jiangsu can attain 15654.00 (10 thousand tons), accounting for
28.2% of its average annual actual emissions.
3 - Production Intermittence In Spot Electricity Markets
Olivier Massol, IFP School, 228-232 Avenue Napoleon Bonaparte,
Rueil-Malmaison, 92852, France, ,
Albert Banal-Estanol, Augusto Ruperez-Micola
This paper analyses the influence of production intermittence on spot markets.
We use both game theory concepts and an agent-based simulation approach
derived from the Camerer and Ho (1999) behavioral model. Controlling for costs,
we find that intermittent technologies yield lower prices when incumbents have
individual market power, but higher when they do not have it. This happens
when firms are risk-neutral and risk-averse, and also under different
intermittence and ownership configurations. Replacing high-cost assets with low-
cost ones results in higher prices than letting them co-exist.
4 - A Sparse Tableau Analysis Formulation For The Security-
constrained Optimal Power Flow
Byungkwon Park, PhD Student, University of Wisconsin-Madison,
202 N Eau Claire Avenue, # 314, Madison, WI, 53705,
United States, , Christopher DeMarco
The nonlinear security-constrained optimal power flow (SCOPF) is
computationally challenging, with difficulties in obtaining even feasible points
due to the nonconvexity of power flow equations and the large dimension when
many contingencies are considered. As illustrated in literature on semidefinite
programming for OPF, a well-chosen formulation can yield better solutions, more
efficiently. To this end, this work considers a range of SCOPF problems in new
sparse tableau formulations that explicitly maintain port currents and voltages of
all grid elements, and examines computational time and quality of solutions with
different nonlinear solvers.
SD58