Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TB83

n TB82 Hyatt, Phoenix West Health Care II Contributed Session

n TB83 Hyatt, Remington Practice- Health Care II Contributed Session Chair: Ajit Appari, Worcester Polytechnic Institute, Worcester, MA, 000, United States 1 - Improving Outpatient Process with Multi Fidelity Models Bowen Pang, Tsinghua University, Tsinghua Univ. Zijing 14#, Beijing, 100084, China, Xiaolei Xie, Yijie Peng, Bernd Heidergott Physicians with outpatient departments in large Chinese hospitals face tremendous amount of workload. The limited time spent with each patient contribute to dissatisfaction while it is costly to increase the number of nurses and doctors. We develop a simulation model to analyze the outpatient process in the Department of Ophthalmology in Beijing Tongren Hospital. Using simulation output, we estimate the parameters of the queuing model with tandem MMC queues which balances the system performance and the costs incurred by increased staffing level. The optimal solution obtained by the queuing model is used to find improved settings via simulation model. 2 - Optimizing a High Volume Surgical Center Through Improved Team Dynamics: An Application of Social Network Modeling in Healthcare Operations Scott T. DeNegre, Vice President, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, United States, Nathaniel Hupert, Mayu Sasaki, Jingyan Yang, Justin Do, Abigail Schmucker, David Grace, Meghan Kirksey, Alexander McLawhorn, Stephen Lyman, Steve Magid Increasing operating room (OR) capacity provides greater access for patients, improves the financial sustainability of health systems, and is a health policy priority here and abroad. Traditional methods for increasing capacity require multiyear, multimillion dollar capital projects; in this paper, we explore methods for increasing OR capacity through improved team dynamics and develop a novel approach to quantifying team consistency using network models. Results from a high volume surgical center are presented, demonstrating that consistent surgical teams deliver improved efficiency and suggesting that OR capacity can be increased by approximately 20% through improved staffing models. 3 - The Influence of Operational Proximity on Hospitals’ Post-acquisition Service-mix Strategies Yuqiao Cheng, University of Houston, 4800 Calhoun Rd, Houston, TX, 77004, United States, Xiaosong David Peng, Yuan Ye The study examines whether acquired hospitals reconfigure their service-mix to become more focused after acquisitions. If so, is the enhanced focus associated with improved post-acquisition performance (i.e., cost and quality), and do more common service lines and a shorter geographic distance between acquired and acquirer hospitals enable an acquired hospital to implement a more focused strategy? 4 - How Philanthropic are They? The Impacts of Directors’ Professional Background on the Performance of Nonprofit Private Hospitals Ajit Appari, Worcester Polytechnic Institute, Worcester, MA, United States, Mily Wang The widening healthcare disparity in the US raises concern on the philanthropic intent of nonprofit private hospitals (NPPHs), and whether they provide charity care to community to satisfy legal threshold or engage in beyond the legal requirements. Building on the Upper Echelon and Corporate Governance literature, we examine whether philanthropic performance of NPPHs vary by professional background of their board of directors; and if this relationship differs by market competition. We report findings from the analysis of 215 NPPHs in California during 2007-2012 using hierarchical linear model.

Chair: Najibe Sadatijafarkalaei, Wayne State University, 4815 Fourth Street, Detroit, MI, 48202, United States 1 - Modeling the Containment Behavior of Interacting Populations in Response to an Epidemic

Marzieh Soltanolkottabi, Student, Kansas State University, 1601 Roof Dr #G25, Manhattan, KS, 66502, United States, David Ben-Arieh

Epidemic disease outbreaks are among the major threats to the sustenance and health of human societies. Modeling the dynamics of epidemic disease outbreaks and the corresponding social response to it is one the techniques that can help public health policy makers make better decisions and device better policies. The aim of this study is to use spatial games under public goods policies and explore efficient strategies for containment and control of large scale epidemics. The public goods game enables players to choose not to be vaccinated and thus to not contribute to the public common defense. 2 - Spillover Success in Healthcare Information Technology Ankita Srivastava, Graduate Teaching Assistant, Oklahoma State The looming retirement crisis has led US federal government to take immediate measures to fix the exorbitant healthcare system. Since HITECH, there is a significant increase in the adoption & meaningful use of certified EHR’s and therefore understanding business value of IT in healthcare is gaining research interest. American Hospital Association annual survey data from 2012 to 2016 is used to test the hypothesis that IT investments of geographically proximal hospital have spillover effects on the revenue of the focal hospital. Our results have implications for both literature and practice. 3 - Cost-effective Evaluation of Public Health Policies for Cervical Cancer Karen Angulo, Universidad de los Andes, Cra 1 N. 18A-12, Bogotá, 110111, Colombia, Ivan Mura Predicting the long-term effects of vaccination and screening programs against Cervical Cancer (CC) is not trivial at all, as it builds upon the ability to compound the uncertainties associated with the results of interventions. We propose compartmentalized epidemiological simulation models based on differential equations, which represent population dynamics, HPV transmission, likelihood of infection clearance, virus induced precancerous lesions and eventually appearance of CC. Models are implemented into an open software tool that allows predicting the effects of public health policies for CC prevention and surveillance, providing valuable support to healthcare decision-makers. 4 - Evaluating Network Based Interventions for Opioid Abuse using Agent Based Modeling Lesley Clack, University of Georgia, Athens, GA, United States, Aaron Schecter While there is research available on the efficacy of predicting intervention strategies in a variety of contexts, this type of modeling has not been tested in rural/underserved opioid populations. While many potential interventions for treating substance abuse exist, their efficacy can vary greatly across locations, populations, and types of addictions. The goal of this research study was to explore and rigorously define the spectrum of available intervention strategies for opioid abusers in rural/underserved communities, and evaluate the potential effectiveness of each intervention strategy using statistical tools and relevant empirical evidence. 5 - Dynamic Task Assignment for Coordination of Inpatient Operations in Hospitals Najibe Sadatijafarkalaei, Wayne State University, 4815 Fourth Street, Detroit, MI, 48202, United States, Evrim Dalkiran, Alper E. Murat, Ratna Babu Chinnam Most hospital systems in the U.S. have employed some form of an Electronic Health Record (EHR) system in recent years to improve health outcomes. While EHR systems form a critical data backbone for improving operational efficiencies, there is a need for platforms that can promote situational awareness, predictive operational intelligence, and eventually coordinated orchestration. We present a real-time resource and task assignment model to coordinate inpatient operations to reduce patient waiting times, focusing on bed assignment, environmental services, and patient transport. University, Stillwater, OK, 74074, United States, Surya B. Ayyalasomayajula, Taha Havakhor

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