Informs Annual Meeting 2017

TD49

INFORMS Houston – 2017

TD48

Researchers are arguing that EMR systems have a positive impact on healthcare especially in reducing unnecessarily cost. In this paper, we examine the impact of using EMR systems on healthcare cost in one of the developing countries. We argue that EMR help providers in reducing hospital length of stay (LOS). Our findings show that EMR systems can reduce unnecessary hospital LOS which subsequently reduce cost and the risk of hospital-acquired conditions. We empirically examine and find support for the hypothesized relationships using an archival data set for1,979 cognitive heart failure (CHF) patients. We discuss the practice implications and contributions of the findings. 2 - Family Medicine Resident Rotation Schedule Design using a Sequential Optimization Method Allison Koram, Health Systems Engineer, Mayo Clinic, Jacksonville, FL, United States, koram.allison@mayo.edu, Yu Li Huang Scheduling Family Medicine (FM) residents is a multifaceted task when considering the required amount of other medical services for each year of residency, the schedule flexibility of these services, the policies of FM resident and advisor staffing requirements as well as required shifts and patient volumes. The study proposed a sequential optimization model to determine the combinations of medical services in each year of residency so that the family medicine training policies can be met. The model produces a year of rotation schedule template for FM residents at an academic medical facility. 3 - Effective and Equitable Appointment Scheduling in Rehabilitation Centers Idil Arsik, Georgia Institute of Technology, 391 17th St NW. Apt. 4054, Atlanta, GA, 30363, United States, idilarsik@gatech.edu, Pinar Keskinocak, Jennifer Coppola, Kirthana Hampapur, Yitong He, Haozheng Jiang, Dani Regala, Nick Tailhardat, Kristin Goin Appointment scheduling in rehabilitation centers is a complex process; unlike in a primary care clinic setting, patients need a combination of services to be scheduled over multiple days and time slots with different providers. The goal in scheduling is to provide the ideal care to patients with different needs while efficiently utilizing resources. In a collaborative project between Shepherd Center, a rehabilitation institute for patients with brain injuries, and Georgia Tech, we developed a decision support-tool which employs heuristics and mixed integer programming models for efficient and effective scheduling. 4 - Simulation Based Evaluation for Point of Care Testing Reed Harder, Dartmouth College, 14 Engineering Drive, Hanover, NH, 03755, United States, reed.haseltine.harder.TH@dartmouth.edu, Keji Wei, Vikrant Vaze, James Stahl In order to compare Point-of-Care Testing, Central Lab Testing and Point-of-Care Sample Acquisition testing regimes in a clinical environment, we develop a computer simulation of a primary care clinic. Using data on clinic workflow, test cost and test performance characteristics, we simulate a clinical workflow over the course of a year in different settings, including clinics in rural, retail/semi-public, outpatient, and hospital based scenarios. We then analyze system performance in terms of time, economic cost, staff utilization and treatment effectiveness, and analyze trade-offs between testing regimes in different scenarios. 5 - Using GIS and Optimization for Optimal Organ Allocation for Heart Transplant Monica Gentili, University of Louisville, JB Speed Building, Heart transplantation is the definitive therapy for the end-stage heart failure patients with the post-transplant survival rate of over 70%. However, the number of transplants has been limited by a growing supply-demand mismatch, and geographic disparity in access to heart transplant has been reported as one of the significant problems. The proposed research will explore different heart allocation boundaries derived from our mathematical optimization models and evaluate them by means of simulation models 6 - Discrete-event Simulation of HIV Drug Resistance from Antiretroviral Therapy in South Africa Ume Abbas, Baylor College of Medicine, Houston, TX, United States, Ume.Abbas@bcm.edu, Yajun Ding, Robert Glaubius Expanded access to antiretroviral therapy (ART) for HIV raises concern about drug-resistance spread. We developed a novel discrete-event simulation model of the HIV epidemic in KwaZulu-Natal, including ART and drug-resistance mutations, and evaluated HIV drug-resistance by 2030. Our model predicts that if access to second-line ART is limited, resistance to current first-line ART will increase, with potential decrease in efficacy. Room 304, Louisville, KY, 40292, United States, monica.gentili@louisville.edu, Fatemeh Karami, Mehdi Nayebpour, Naoru Koizumi

361A Social and Environmental Responsibility in Supply Chains: Behavioral Insights Sponsored: Behavioral Operations Management Sponsored Session Chair: Karen Donohue, Carlson School of Management, University of Minnesota, Minneapolis, MN, 55455, United States, donoh008@umn.edu 1 - The Effect of Visibility on Consumer Trust of Social Responsibility Disclosures Leon Matias Valdes, MIT.Sloan School of Management, 77 Massachusetts Avenue, E62 - 459, Cambridge, MA, 02139, United States, lvaldes@mit.edu, Tim Kraft, Yanchong Zheng We conduct an incentivized human-subject lab experiment to investigate the role of supply chain visibility on consumer trust of firms’ social responsibility (SR) communications. Specifically, we analyze via a three-player game how consumer trust and firm trustworthiness are affected by the quality of the information that the firm has about its supplier’s SR practices. Our results suggest that consumer trust, as measured by their willingness-to-pay for a product, is higher when the firm has better visibility into its supplier’s SR. Furthermore, consumer players who demonstrate a high prosocial orientation display a lack of trust under low visibility. 2 - Randomness and Correlations in Willingness-to-Pay for Remanufactured Products Anton Ovchinnikov, anton.ovchinnikov@queensu.ca, James Duane Abbey This paper questions a common assumption in modeling consumer behavior in purchasing remanufactured products: that the willingness-to-pay (WTP) for such products is perfectly correlated to that for the new products. We present experimental evidence suggesting that there is a degree of randomness in WTP. We then build a model to explicitly account for such randomness and, show that, surprisingly the firm benefits from uncertainty in WTP. We finally characterize the correlation structures that enhance versus reduce such benefit. 3 - Sustainable Operations Versus Corporate Social Responsibility: A Cross-country Analysis of Value Chain Transparency Basak Kalkanci, Georgia Institute of Technology, 3151 Stillhouse Creek Dr SE, Apt 25517, Atlanta, GA, 30339, United States, basak.kalkanci@scheller.gatech.edu, Ryan Buell We conduct experiments to study the effect of transparency into a company’s internal sustainable operations initiatives (such as paying living wages or reducing emissions) relative to transparency into external CSR initiatives (such as contributing to social causes or offsetting emissions) on customers and prospective employees in the US and India. Although transparency boosts consumer choice, not all initiatives perform equally well. Internal sustainability initiatives lead to higher purchase intentions and are perceived as more sincere in the social domain. However, consumers perceive internal and external initiatives to be substitutable in the environmental domain. 4 - Encouraging Energy Efficiency Investment in a Supply Chain: A Behavioral Investigation Karen Donohue, University of Minnesota, SCO.Department, 321 19th Street Avenue S, Minneapolis, MN, 55455, United States, donoh008@umn.edu, Jason Nguyen, Behrooz Pourghannad While there are different mechanisms from both buyers and third-party organizations to assist suppliers in investing in Energy Efficiency (EE) improvements, suppliers’ propensity to accept this assistance and undertake investments can be elusive. Through a series of controlled behavioral experiments, we study how the source of external assistance, contract framing and characteristics of the investment, including the initial assessment costs and uncertainty of returns, influence the supplier’s propensity to perform the initial assessment and subsequently invest in EE improvements. 361B Practice/Healthcare II Contributed Session Chair: Yajun Ding, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, United States, Yajun.Ding@bcm.edu 1 - The Impact of EMR on Patient Care Evidence from LOS Reduction for HF Patients in Developing Countries Yazan Alnsour, Assistant Professor, University of Illinois Springfield, Springfield, IL, 62703, United States, yalns2@uis.edu, Mohammad Alsharo TD49

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