Informs 2015

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INFORMS Philadelphia – 2015
130
SD33
33-Room 410, Marriott
Operations Research/Management for
Women’s Health
Sponsor: Health Applications
Sponsored Session
Chair: Soroush Saghafian, Harvard University, 79 JFK Street,
Cambridge, MA, 02138, United States of America,
1 - Design of Financial Incentives for Maternity Care Safety
and Quality
Beste Kucukyazici, McGill University, 1001 Sherbrooke Street
West, Room 526, Montreal, QC, H3A 1G5, Canada,
Cheng Zhu
Rate of C-section, which exposes potential harms on mothers and newborns as
well as heavy economic burden, has been increasing constantly and this growth
raises some concerns for the policy makers. This research focuses on optimizing
the financial incentives, i.e. choosing best payment scheme and optimizing how
to reimburse obstetricians under this scheme, in order to reduce the C-section
rates without sacrificing birth quality while alleviating economic burden for
overall health care system.
2 - Cost-Effectiveness of Malaria Preventive Treatment for
HIV-Infected Pregnant Women in South Africa
Sung Eun Choi, Stanford University, 44 Olmsted Rd Apt. 121,
Stanford, Ca, 94305, United States of America,
Margaret L. Brandeau, Eran Bendavid
Combined malaria and HIV infection during pregnancy increases the susceptibility
of both mother and child to the negative effects of malaria, such as anemia, low
birth weight, and placental malaria. A microsimulation model of HIV-infected
pregnant women in sub-Saharan Africa was developed to assess the cost-
effectiveness of different malaria preventive treatment approaches, including
co-trimoxazole and intermittent preventive treatment in pregnancy with
sulfadoxine-pyrimethamine (IPTp-SP).
3 - Mammography Screening Policies under Budgetary Restrictions
Mucahit Cevik, University of Wisconsin - Madison, 1513
University Avenue, Madison, WI, 53706, United States of
America, , Oguzhan Alagoz
Cost of mammography and lack of resources in terms of number of diagnostic
machines and the number of trained workforce to interpret mammograms limit
the widespread use of mammography for screening in many countries. We
investigate the breast cancer screening problem in a resource-constrained setting
where the objective is to maximize total quality adjusted life years of the patients,
and present a novel approach to obtain clinically intuitive policies.
4 - The Optimal Control of Child Delivery for Women with
Hypertensive Disorders of Pregnancy
Aysegul Demirtas, Graduate Student, Arizona State University,
699 S Mill Avenue, Tempe, AZ, 85281, United States of America,
Esma Gel, Soroush Saghafian
Hypertensive disorders of pregnancy (HDP) are one of the leading cause of
maternal and neonatal mortality and morbidity in the world. We consider the
decision problem of timing and mode of delivery for women with HDP. We
formulate a discrete-time, infinite-horizon Markov decision process model in
which the objective is to minimize the risks of maternal and neonatal adverse
outcomes. We use clinical data in our computational results and provide delivery
strategies under various scenarios.
SD34
34-Room 411, Marriott
Medical Decision Making
Sponsor: Health Applications
Sponsored Session
Chair: Michelle Alvarado, Visiting Assistant Professor, Texas A&M
University, 3131 TAMU, College Station, TX, 77840,
United States of America,
1 - Assessing Prevention Strategies for Mid-life Adults: An Agent-
based Modeling Approach
Yan Li, Research Scientist, The New York Academy of Medicine,
99-52 66th Rd. Apt. 9M, Rego Park, NY, 11374,
United States of America,
70 percent of mid-life adults in the US have been diagnosed with at least one
chronic condition and nearly half of them have two or more. We developed an
agent-based model to capture the development and consequences of several
prevalent cardio-metabolic conditions, including obesity, hypertension,
hypercholesterolemia, and diabetes, in mid-life adults. We conducted simulated
trials to assess the impact of different lifestyle interventions on the health
outcomes of general mid-life adults.
2 - Developing a Clinical Decision Support System for
Diabetic Retinopathy
Saeed Piri, Research Assistant, Oklahoma State University, IEM
department, 322 Engineering North, Stillwater, Ok, 74078,
United States of America, , Tieming Liu
About 29.1 million American have diabetes and about 30% of the diabetic
patients develop diabetic retinopathy. The purpose of this research is to develop a
clinical decision support system that could be used by the physicians and
clinicians to manage the condition and progression path of the diabetic
retinopathy. We are analyzing two sets of data, first EHR data of about 3 million
diabetic patients, and second, detailed data of about 2000 diabetic retinopathy
patients.
3 - Readmission Reduction Strategies in Medicaid / Medicare –
Hospital System
Michelle Alvarado, Visiting Assistant Professor, Texas A&M
University, 3131 TAMU, College Station, TX, 77840,
United States of America, ,
Yi Zhang, Mark Lawley
In 2012 the Centers for Medicare and Medicaid Services implemented a penalty-
only system for hospitals with high readmission rates. We develop a
penalty-incentive model for hospital readmissions in a basic game theoretic
setting between Medicaid/Medicare and a Hospital. Medicaid/Medicare designs a
penalty-incentive mechanism that can inspire the Hospital to adopt a proper level
of care. We identify the win-win region for the penalty-incentive factor and
present preliminary analysis results.
SD35
35-Room 412, Marriott
OR in Public Policy: From Healthcare to Food Banks
Sponsor: Public Sector OR
Sponsored Session
Chair: Ebru Bish, Associate Professor, Virginia Tech, Dept of Industrial
and Systems Engg, 250 Durham Hall, Blacksburg, VA, 24061-0118,
United States of America,
1 - Value of Inventory Information in Allocating Flu Vaccine with
Limited Supply
Zihao Li, PhD Student, Georgia Institute of Technology, 755 Ferst
Drive NW, Atlanta, GA, 30332-0205, United States of America,
Pinar Keskinocak, Julie Swann
Timely vaccination can prevent influenza, but flu vaccine supply is often limited.
We study the allocation of vaccines when the uptake rates vary geographically.
We derive allocation strategies based on inventory information and compare them
to strategies that are population based. We quantify how many cases of flu can be
prevented, how much inventory is saved, and the unmet demand under both
policies. The results emphasize the need for greater visibility in public health
supply chains.
2 - Modeling for the Equitable and Effective Distribution of Food
Donations under Stochastic Capacities
Irem Sengul Orgut, Lenovo, 1009 Think Place, Morrisville, NC,
United States of America, Reha Uzsoy,
Julie Ivy
In partnership with the Food Bank of Central and Eastern North Carolina, which
distributes donated food to a 34-county service area, our objective is to achieve
the equitable and effective food distribution among the population at risk for
hunger. Counties’ capacities are the main source of uncertainty in this system as
they constrain the total food distribution due to the need to distribute food
equitably. We develop stochastic models for optimal food distribution and prove
structural results.
3 - Resource Deployment and Donation Allocation for
Epidemic Outbreaks
Azrah Azhar, Graduate Student, George Washington University,
800, 22nd Street NW, Washington, DC, 20052,
United States of America, Miguel Lejeune
We propose an epidemic response model for developing countries that determines
the number and location of treatment facilities and ambulances; deploys medical
staff; and organizes the transportation of patients. We develop a framework to
optimize the utilization of earmarked donations, and carry out a cost-benefit
analysis for intervention strategies financed by a donation.
SD33