Sessions for Friday, May 05 Friday, 08:00 AM - 09:30 AM Friday, 08:00 AM - 09:30 AM, Evergreen A Track: Healthcare Operations Management Learning in Healthcare Organizations 1 Session: Chair(s): Lawrence Fredendall 073-0858 Technology Transition in Surgical Care: A Study of Robotic Surgical Procedures Ujjal Mukherjee, Assistant Professor, University of Illinois Urbana-Champaign, United States Kingshuk Sinha, Professor, University of Minnesota, United States New technology in healthcare improves quality and productivity. However, the benefits of new technology in healthcare are realized through doctors' learning the new technology. In this paper, we conduct an empirical field study of a hospital's strategy to successfully transition from manual laparoscopic surgical procedures to robotic surgical procedures. 073-0450 Multi-Year Model Predicting Patient Satisfaction Based on Wait Times Quinton Nottingham, Associate Professor, Virginia Polytechnic Institute And State University, United States Dana Johnson, Professor, Michigan Technological University, United States Roberta Russell, Professor, Virginia Polytechnic Institute And State University, United States The purpose of this research is to model the impact of waiting times in waiting and exam rooms as predictors of patient satisfaction using data collected over a 3- year period. Models will include wait times, clinic type, gender, age, and other variables to determine their impact on overall patient satisfaction. 073-0525 Lean and Six Sigma in Healthcare: The Imperfect Arbitrage Edward Anderson, Professor, University of Texas Austin, United States The implementation of lean and six sigma process improvement in healthcare has had some notable success, but successful implementation remains incomplete and spotty. We highlight the issues that cause this, particularly in clinics and primary practices and offer some solutions based on case studies. 073-0363 Team Learning and Process Design in Behavioral Healthcare Adrian Choo, Assistant Professor, Michigan State University, United States Jamison Kovach, Associate Professor, University of Houston, United States Lawrence Fredendall, Professor, Clemson University, United States We present a study using a longitudinal survey design in collecting data on how teams design their processes in behavioral healthcare. Findings on how structured and unstructured learning can occur in teams using a Design for Six Sigma approach will be discussed. Friday, 08:00 AM - 09:30 AM, Evergreen B Track: Healthcare Operations Management Addressing Uncertainty in Healthcare Operations 2 Session: Chair(s): Vishal Ahuja 073-0628 Optimal Resource Allocation for Sequential Adaptive Clinical Trials Alba Rojas-Cordova, Student, Virginia Polytechnic Institute And State University, United States Ebru Bish, Associate Professor, Virginia Polytechnic Institute And State University, United States Adaptive clinical trials are promising, but complicate resource allocation. We quantify the impact of interim analyses on the new drug’s misclassification risk and time-to-market, as well as the firm’s revenue through a stochastic dynamic programming model. We perform a numerical analysis based on realistic data and generate key insights. 073-1522 Scheduling Endoscopy Patients Under Uncertainty Amy Cohn, Associate Professor, University of Michigan, United States Karmel Shehadeh, Student, University of Michigan, United States We consider the problem of how to schedule colonoscopy patients in an endoscopy clinic, recognizing the impact of pre-procedure bowel prep on variability in treatment time. Particular attention is paid to the competing schedule metrics, including patient delays, clinic overtime, procedure outcomes, and access time. 073-0947 A Model of Interplay Between Regulation, Time-to-Market, and Quality in New Drug Development Vishal Ahuja, Assistant Professor, Cox School of Business, United States Canan Savaskan, Associate Professor, Southern Methodist University, United States In an attempt to reduce the time and cost of drug development, the US Congress imposes the Prescription Drug User Fee Act (PDUFA) on pharma companies. We model the interplay between DUFA, product innovativeness, the drug approval rates and the likelihood of drug recall. 073-1590 How to Manage Congestion due to Compassionate Dialysis: Accept, Reject, Divert? Olga Bountali, Student, Southern Methodist University, United States Sila Cetinkaya, Professor, Southern Methodist University, United States Vishal Ahuja, Assistant Professor, Cox School of Business, United States Compassionate Dialysis refers to the practice whereby indigent patients suffering from End-stage renal disease receive dialysis under “emergency” conditions, resulting in severe congestion and treatment delays. We use a queueing network to model the problem, allowing us to evaluate various performance metrics and propose implementable solutions to alleviate congestion. Friday, 08:00 AM - 09:30 AM, Evergreen C Track: Healthcare Scheduling Operating Room Scheduling 3 Session: Chair(s): Song-Hee Kim 073-0630 Online Surgical Case Scheduling Friday, 08:00 AM - 09:30 AM Shashank Goyal, Student, University of Minnesota, United States Diwakar Gupta, Professor, University of Minnesota, United States A surgeon, who has been allotted blocks of operating-room time, must decide whether to schedule a surgery request in one of the blocks in the earliest planning period, without knowledge of future requests. We model the situation as the online multiple knapsack problem and propose algorithms with provably-good worst- case performance. 073-0818 Designing Flexible and Financially-Prudent Operating Room Block Schedules Erik Bertelli, Student, University of California Berkeley, United States Candace Yano, Professor, University of California Berkeley, United States Non-HMO hospitals must balance flexibility offered to surgeons against financial realities. We consider several ways to increase or decrease flexibility such as partial (vs. full) day surgical blocks and limits on the number of surgeries per block. We evaluate the system-wide impact on resource requirements and financial performance. 073-1645 An Individualized Learning Methodology for the Surgery Scheduling Problem Amirhossein Meisami, Student, University of Michigan Ann Arbor, United States Henry Lam, Assistant Professor, University of Michigan, United States Mark van Oyen, Professor, University of Michigan Ann Arbor, United States Using a state of the art learning method, we develop an individualized optimization framework to integrate historical data into the optimization of the Appointment Scheduling problem for planning surgical case allowance times. We show that the method is both theoretically consistent and significantly outperforms current approaches in practice. Friday, 08:00 AM - 09:30 AM, Evergreen G Track: Healthcare Analytics & Medical Decision-Making Healthcare operational analytics 6 Session: Chair(s): Daniel Gartner 073-1258 MY-ATLAS: Mapping HCC Tumor Biology to Compute Equitable Exception Points Ngai-Hang Leung, Assistant Professor, City University of Hong Kong, Hong Kong Mustafa Akan, Associate Professor, Carnegie Mellon University, United States Sridhar Tayur, Professor, Carnegie Mellon University, United States James Markmann, Chief, Division of Transplantation, Massachusetts General Hospital, United States Heidi Yeh, Surgical Director, Massachusetts General Hospital, United States Candidates on the liver transplantation waiting list are prioritized using their Model for End-stage Liver Disease (MELD) scores. To improve the efficiency and equity of the liver allocation system, we propose alternative exception points for candidates with hepatocellular carcinoma. 073-1309 Segmentation of Medical Images Using Mathematical Programming Philipp Baumann, Assistant Professor, University of Bern, Switzerland The segmentation of images is a key task in medical image analysis. Most existing techniques for this task rely on large amounts of training data, which are expensive to acquire. We propose a mathematical programming-based segmentation approach that uses general domain knowledge of the user instead of training data. 073-1196 Order Set Optimization to Improve Usability of Hospital Information Systems Daniel Gartner, Lecturer, Cardiff University, United Kingdom Yiye Zhang, Student, Carnegie Mellon University, United States Rema Padman, Professor, Carnegie Mellon University, United States Order sets represent clustered order items such as medications prescribed at hospital admission which are administered to patients during their hospital stay. In this talk, we provide an overview and results of different solution procedures to generate order sets based on real-world data for the objective of cognitive workload minimization. Friday, 08:00 AM - 09:30 AM, Evergreen H Track: Supply Chain Management Adopting Supply Chain Practices 7 Session: Chair(s): Julia De-Carvalho 073-0844 Organizational Structures for Supply Chain/Network Management Vidyaranya Gargeya, Professor, The University of North Carolina at Greensboro, United States What are the types of organizations that are currently being used for managing the supply chain/network in manufacturing companies? Building on the work of Kim (2007), this paper will address that question through three case studies (in different industries) and present suggestions for the future. 073-1096 Contributions of Packaging Improvements as Logistic Costs Reducing on Electronic Commerce Murilo Stankevix, Student, CEETEPS, Brazil Thais Ramos,