Informs Annual Meeting 2017

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INFORMS Houston – 2017

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332B Markets, Allocation and Information Sponsored: Manufacturing & Service Oper Mgmt, Service Operations Sponsored Session Chair: Yash Kanoria, Columbia Business School, New York, NY, 10027, United States, ykanoria@gmail.com Co-Chair: Irene Yuan Lo, New York, NY, 10025, United States, iyl2104@columbia.edu 1 - Carta: A Course Exploration Platform for Undergraduates Ramesh Johari, Stanford University, Huang Engineering Center Rm 311, 475 Via Ortega, Stanford, CA, 94305-4121, United States, ramesh.johari@stanford.edu, Tum Chaturapruek, Michael Bernstein, Mitchell Stevens Students’ course choices made early in the college career can largely shape academic options and occupational opportunities later on, but pathways and course selection decision making that leads to these choices are mostly invisible. To address these limitations, we introduce Carta, a web application that provides students with information to inform how they navigate their undergraduate careers. It deploys complete data on enrollments, outcomes, and course evaluations. In this talk we describe the platform, as well as some initial research findings from its deployment. 2 - Non-monetary Dynamic Allocation to Agents with Unit Demand Peng Shi, USC Marshall School of Business, Los Angeles, CA, United States, pengshi46@gmail.com, Nicholas A.Arnosti We consider a setting in which agents and items match dynamically over time and monetary transfers are limited. Applications include the allocation of subsidized housing and of discounted tickets. We compare five mechanisms: waitlist with rejection, waitlist without rejection, repeated lottery with infinite entry, single-entry lottery, and ticket-saving lottery. We show that each mechanism is equivalent to one of the two versions of the waitlist. (Equivalence means that for each agent, the distribution of match values are the same in either mechanism.) We compare the utilitarian welfare between these two classes of mechanisms based on the tail of the outside option distribution. 3 - Iterative Local Voting for Collective Decision-making in Continuous Spaces Vijay Kamble, University of Illinois Chicago, Chicago, IL, United States, vijaykamble.iitkgp@gmail.com Many societal decision problems lie in high-dimensional continuous spaces not amenable to the voting techniques common for their discrete or single- dimensional counterparts. These problems are typically discretized before running an election or decided upon through negotiation by representatives. We propose a meta-algorithm called Iterative Local Voting for collective decision-making in this setting, in which voters are sequentially sampled and asked to modify a candidate solution within some local neighborhood of its current value. We explore the convergence of such a scheme and test our algorithm for the decision of the U.S. Federal Budget on Mechanical Turk with over 4,000 workers. 4 - Dynamic Matching in School Choice: Efficient Seat Reassignment After Late Cancellations We consider the problem in centralized school admissions of reassigning seats after students obtain better outside options. We introduce the Permuted Lottery Deferred Acceptance (PLDA) mechanisms, which assign seats using two rounds of the standard Deferred Acceptance mechanism where the second-round tie- breaking lottery is a permutation of the first-round lottery. We show that a mechanism that reverses the lottery order performs best among all PLDA mechanisms, and characterize PLDA mechanisms as the class of truthful mechanisms satisfying natural efficiency and fairness properties. Empirical investigations based on NYC high school admissions data support our theoretical findings. Irene Yuan Lo, Columbia University, New York, NY, 10025, United States, iyl2104@columbia.edu, Itai Feigenbaum, Yash Kanoria, Jay Sethuraman

332C Health Care, Strategy and Policy Contributed Session Chair: George Miller, Altarum Institute, Ann Arbor, MI, United States, george.miller@altarum.org 1 - The Impact of Provider Consolidation on the Balance of Quality and Process Improvement Efforts in Health Services Aaron H.Ratcliffe, Assistant Professor, University of North Carolina at Greensboro, 438 Bryan Building, Greensboro, NC, 27402-6165, United States, aaron.ratcliffe@uncg.edu We develop a competitive queueing model to study how health service providers balance investments in quality which increase patient service valuation against investments in process improvements which increase service efficiency. Our analytical derivations measure the impact of provider consolidation on equilibrium quality effort, service delay and financial performance. 2 - Impact of Structural Quality and Patient Centeredness on Hospitals’ Sustainable Operations: An Empirical Evidence from U.S. Hospitals yue.zhang@utoledo.edu, Aber Elsaleiby, P.S. Sundararaghavan The Centers for Medicare & Medicaid Services (CMS) defined sets of quality dimensions as structure, process, outcome, and patient centeredness. This study investigates the role played by these quality measures in impacting hospitals’ sustainable operations, which were captured through both reduced unplanned readmission and mortality rates. The analysis was conducted based on data from 571 U.S. acute care hospitals. 3 - Simulations for Evidence Based Interventions Zhongyuan Yu, Research Assistant Professor, Stevens Institute of Technology, 221 Clinton St, Apt. 4R, Hoboken, NJ, 07030, United States, zyu7@stevens.edu, Michael Pennock When health providers consider whether or not to implement a new intervention, they are sometimes skeptical of results from randomize clinical trials (RCTs). This is because RCTs are performed under controlled circumstances. Once the intervention is implemented, local factors such as socio-economic status and geographic dispersion of the patient population, as well as organizational culture of the provider can affect realized results. We use an interactive visualization based simulation to rerun the RCT systematically under alterative conditions, which allows decision makers to be better engaged in the discussion, and facilitates adoption of evidence based health care approaches. 4 - CPOE: Is Meaningful Use, Meaningful? Neset Hikmet, Professor, University of South Carolina, 1301 Gervais St, Suite 1010, Columbia, SC, 29208, United States, nhikmet@sc.edu, Jeffrey S. Puckett, Benjamin Schooley This study explores the relationship between governmental regulations and the proliferation of Computerized Physician Order Entry (CPOE) between the years 2008-2010 across federally sponsored or administered Health Delivery Organizations within the U.S. We found that a dramatic increase of CPOE installations occurred in tandem with the Medicare Improvements for Patients and Providers Act (MIPPA) of 2008, The American Reinvestment and Recovery Act (ARRA), Health Information Technology for Economic and Clinical Health (HITECH) of 2009 and Stage 1 Meaningful Use objectives (2010-2014).These incentives and mandates appear to have had a strong effect on HDO investments in CPOE technologies. 5 - “Pay for Success” Financing and Home-based Multicomponent Childhood Asthma Interventions: Modeling Results from the Detroit Medicaid Population George Miller, Institute Fellow, Altarum Institute, 3520 Green Court, Suite 300, Ann Arbor, MI, 48105, United States, george.miller@altarum.org Pay for Success (PFS) is a mechanism for funding public sector programs with financing from private investors who receive a payout from the public sector only if metrics identified in a performance-based contract are met. To help understand the economics of a PFS intervention in a Medicaid population, we modeled the potential impact of a childhood asthma intervention that targets children enrolled in Medicaid in Detroit. We found that such an intervention has significant potential in a PFS financing scheme if the intervention targets the most severely- affected children. Yue Zhang, University of Toledo, 2801 W. Bancroft St., Stranahan Hall, Toledo, OH, 43606-3390, United States,

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