2016 INFORMS Annual Meeting Program

SA20

INFORMS Nashville – 2016

SA20 106C-MCC

4 - Anesthesiology Practice Redesign Michael J Brown, Mayo Clinic-Rochester, NY, United States, Brown.Michael3@mayo.edu The Department of Anesthesiology led perioperative practice redesign initiative improved the quality and increased the value of perioperative care. Utilizing an analytical approach to identify, prioritize, assimilate, and interpret impactful information, multiple high-value strategies were implemented that optimized Mayo Clinic’s perioperative facilities, human resources, workflows and clinical outcomes. The majority of interventions were perioperative specialty specific, however others were generalizable to the entire practice. “ SA22 107B-MCC Incentives and Resource Allocation in Healthcare Settings Invited: ORinformed Healthcare Policies Invited Session Chair: Karthik Natarajan, University of Minnesota, Edina, MN, United States, knataraj@umn.edu 1 - Optimal Patient And Provider Incentives In Funding-constrained Humanitarian Healthcare Service Settings Karthik Natarajan, University of Minnesota, Minneapolis, MN, United States, knataraj@umn.edu, Mili Mehrotra We analyze how a budget-constrained humanitarian organization managing a healthcare service program should design incentives to the provider and patients to maximize program coverage. We explore how the incentives change with the service offered and operating environment. We also compare the optimal incentive scheme to incentive schemes used in practice. 2 - Competing For Donations In The NPO Sector Milind Sohoni, Indian School of Business, milind_sohoni@isb.edu, Sripad K Devalkar, Neha Sharma We study the impact of competition under two fund-raising models, commonly observed in the non-profit sector, when donors and non-profit organizations face challenges due to information asymmetry and outcome (benefit) uncertainty. We also analyze implications on benefits delivered from a social planner’s perspective. 3 - Discharge Decision In Emergency Departments: Impact Of Operational Measures And Pay-for-performance Incentives Eric Park, University of Hong Kong, 1, Hong Kong, ericpark@hku.hk We study how operational measures in the emergency department such as number of patients waiting to be seen and physician’s patient load affect patient discharge decisions. We also analyze the impact of a provincial government level pay-for-performance incentive scheme on discharge decisions. We empirically study several major hospitals in the metro Vancouver, Canada area. SA23 108-MCC Evaluating Health Policy Decisions Sponsored: Health Applications Sponsored Session Chair: Zhaowei She, Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta, GA, 30332, United States, zhaowei@gatech.edu 1 - Positive Externalities In Disease Intervention: A Study Of Mosquito Borne Viruses Anneke Claypool, Stanford University, annekecl@stanford.edu Jeremy Goldhaber-Fiebert Health interventions often result in positive externalities that are not captured in traditional cost-effectiveness analysis. This study uses a dynamic transmission model to analyze the cost-effectiveness of Chikungunya prevention measures. We compare a potential Chikungunya vaccine to vector control methods that result in fewer Chikungunya, Zika and Dengue cases. By using this model, the additional health benefits of interventions that impact multiple diseases can be captured.

Storage and Read-Optimized Data Placement Structures for High Performance Analysis Invited: Tutorial Invited Session Chair: Edmon Begoli, University of Tennessee-Knoxville, Joint Institute for Computational Sciences (JICS),, Knoxville, TN, 37831, United States, ebegoli@utk.edu 1 - Storage And Read-Optimized Data PlacementStructures For High Performance Analysis Edmon Begoli, University of Tennessee-Knoxville, Joint Institute for Computational Sciences (JICS), Knoxville, TN, 37831, United States, ebegoli@utk.edu, Pragnesh Patel, J. Blair Christian We present state-of-art structures and methods for efficient data preparation, and representation for analysis. Our intent is to introduce the data science and analytics communities to open source data placements, structures, and methods. These practices can make the foundational processes of data preparation and access dramatically more efficient than typical raw file or database representations and use more conservative storage. To illustrate this, we introduce two highly efficient data placement structures. We then present a tutorial, supported by step- by-step examples, of how to create, use and access data, structured by Parquet or ORC, using Apache Spark. Finally, we illustrate the benefits of using these structures with computational and storage volume benchmarks. SA21 107A-MCC Healthcare Operations Research in Practice Sponsored: Health Applications Sponsored Session Chair: Sandra Potthoff, University of Minnesota, 420 Delaware Street SE, D362 Mayo MMC 729, Minneapolis, MN, 55455, United States, potth001@umn.edu Co-Chair: David J. Cook, Mayo Clinic, 200 1st St SW, Rochester, MN, 55902, United States, cook.david@mayo.edu 1 - Optimization-based Scheduling Tools For Hospital Staff Fei Li, Hennepin County Medical Center, Fei.Li@hcmed.org Clinics and hospital units hope to staff more accurately to demand patterns, but many have trouble doing so, because of multiple difficulties. We try to understand the difficulties in real practice and offer optimization-based solutions.We propose a solution that is both easier to use and more personalized. Our solution includes a one-stop web-based access to our CPLEX server for any model, and a customized user-friendly tool for each team. They gain users’ acceptance, and we reach better schedules that both the department and staff are happy with.Continued effort cannot be saved in making the tool fit the team’s need. Including modeling skill in supporting staff is recommended. 2 - A Target Discharge Strategy For Inpatient Discharge Planning Ineffective inpatient discharge planning may cause discharge lateness and upstream patient boarding. Working with a local hospital, we propose a novel target discharge strategy, the n-by-T strategy. We demonstrate the effectiveness of this strategy via a simulation study, which suggests nearly 2 hr of advancement in the mean discharge time and nearly 15% reduction in upstream boarding. The sensitivity of this strategy for varying unit’s occupancy rates and findings from a trial implementation at this hospital unit will also be discussed. 3 - Enhancement and Validation Of Outpatient Blood And Marrow Transplant Practice Using Time Driven Activity Based Costing (TDABC) William J Hogan, Mayo Clinic-Rochester, NY, United States, hogan.william@mayo.edu Mayo Clinic has developed an infrastructure to permit the performance of a complex procedure, Blood and Marrow Transplant (BMT), as an outpatient. Using a combination of Standardize to Value (STV) and Time Driven Activity Based Costing (TDABC) approach a number of strategies were developed to converge the practice across multiple sites resulting in greater standardization, consistency, quality of care and cost containment. The value of performing BMT as an outpatient was interrogated using TDABC, which effectively demonstrated enhanced resource utilization and cost containment while maintaining excellent clinical outcomes. These principles are generalizable to other practices involving complex care. Nicholas Ballester, PhD Candidate, Wright State University, 1555-A Sudbury Lane, Faiborn, OH, 45324, United States, ballester.2@wright.edu, Pratik Parikh, Nan Kong

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