Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

SD59

2 - Impact of Mobile Technologies on Health Outcomes for Patients with Chronic Disease Leon Cui, Binghamton University, 62 Decatur St, Binghamton, NY, 13903, United States, Sal Agnihothri, Balaraman Rajan, Mohammad Delasay Chronic conditions place a high cost burden on the healthcare system and deplete the quality of life for millions of Americans. Mobile technologies can be used to provide efficient and effective healthcare. We attempt to evaluate the impact of using these technologies on health outcomes for patients with chronic disease. 3 - Managing Appointment-based Services in the Presence of Walk-in Patients Shan Wang, Shanghai Jiao Tong Univerisity, Xuhui District, 1954 Huashan Road, Shanghai, 200030, China, Nan Liu, Guohua Wan We study how to manage daily operations of a healthcare facility that accepts both scheduled and walk-in patients. In particular, we develop a data-driven optimization approach to determine the optimal appointment schedule in the presence of potential walk-ins. Our approach can handle highly complex environments with general walk-in processes and heterogeneous, time- dependent patient no-show behaviors. Using data from practice, we predict a significant cost reduction (42%-73% on average) if the providers were to switch from current practice (which tends to ignore walk-ins in planning) to our proposed schedules. 4 - Advance Online Scheduling with Overtime: A Primal-Dual Approach Esmaeil Keyvanshokooh, University of Michigan-Ann Arbor, Ann Arbor, MI, 48108-1020, United States, Cong Shi, Mark P. Van Oyen We study an online advance scheduling problem with reward and service time heterogeneity as well as budgeted overtime in which patients arrive one by one. Upon each arriving patient, the scheduler chooses both a resource and a day over a planning horizon without any information on the subsequent patients. By solving an online linear program, we design online optimization algorithms for this purpose and prove a worst-case performance guarantee. A case study of outpatient clinic scheduling is conducted. n SD58 West Bldg 101C Improving the Allocation of Donor Organs Sponsored: Health Applications Sponsored Session Chair: Burhaneddin Sandikci, University of Chicago, Chicago, IL, 60637, United States Co-Chair: Sait Tunc, University of Chicago, Chicago, IL, 60637, United States 1 - Size Based Exception Points for Fair Liver Allocation Mustafa Akan, Carnegie Mellon University, 5000 Forbes Ave. Posner 381C, Pittsburgh, PA, 15213, United States, Musa Celdir, Sridhar R. Tayur Patients on the waiting list for liver transplants receive priority based on their Model for End-Stage Liver Disease (MELD) scores, which reflect the severity of liver disease. Recent studies have shown that for patientw with Hepatocellular Carcinoma (HCC), shorter candidates and women (which may relate to smaller stature) have longer wait times and lower probability of liver transplant. Using a queueing model and data from the Scientific Registry of Transplant Recipients (SRTR), we investigate whether additional MELD exception points would help equalize the size-based disparity in organ access. 2 - Delay Aware Allocation Policies in Kidney Allocation Systems Chaithanya Bandi, Kellogg School of Management, Northwestern University, 2211 Campus Dr, room 4169, Evanston, IL, 60208, United States We investigate the problem of designing fair and delay aware allocation policies for the Kidney Allocation systems. We formulate the problem as a Robust Queueing control problem and present various structural results. 3 - Incentivized Kidney Exchange M. Utku Unver, Boston College, Chestnut Hill, MA, 02467, United States, Tayfun Sonmez, Bumin Yenmez, Bumin Yenmez Over the last 15 years, kidney exchange has become a mainstream paradigm to increase transplants. However, compatible pairs do not participate, and the full benefits from exchange can be realized only if they do. We propose incentivizing compatible pairs to participate in exchange by insuring their patients against future renal failure via increased priority in the deceased-donor queue. Efficiency and equity analyses of this scheme are conducted and compared with that of kidney exchange in a new dynamic continuum model. We calibrate the model with US data and quantify substantial gains from adopting incentivized exchange in efficiency and access equity.

4 - Treating to the Priority in Heart Transplantation Sait Tunc, University of Chicago, McGiffert House 4th Floor, 5751 S. Woodlawn Avenue, Chicago, IL, 60637, United States, Burhaneddin Sandikci, Philipp Afeche, William Parker US heart allocation system assigns priorities to waiting candidates based on the therapies they receive, where the severity of therapies used is assumed to measure the urgency of a candidate to receive a heart transplant. It is, however, constantly debated that therapy-based prioritization opens up room for gaming the system. We propose a novel framework to analytically study the gaming decisions of heart transplant centers, understand when strategic gaming emerges under different competition types, and how it can be prevented within the confines of the current system. n SD59 West Bldg 102A Managing Capacity of Surgical and Procedural Areas Sponsored: Health Applications Sponsored Session Chair: Vikram Tiwari, Vanderbilt University Medical Center, Nashville, TN, 37221, United States Co-Chair: Joonyup Eun, Vanderbilt University Medical Center, Nashville, TN, 1211 21st Avenue South, Room 708, Nashville, TN, 37212, United States 1 - Influence of Patient Experience and Shared Decision-making on Surgical Scheduling Franklin Dexter, University of Iowa, Department of Anesthesia, Division of Management Consulting, Iowa City, IA, 52242, United States We surveyed patients’ perceptions of the service being provided by elective surgery, and desire to share in the decision of scheduling. Most patients (59% lung cancer and gallbladder surgery) would choose another surgeon at the same hospital if that would permit surgery within 4 workdays. Patients may value discussing change in surgeon because they have little prior surgical experience. We considered every patient in the State of Iowa having outpatient surgery at a hospital during 3 months. Most patients (64.3%) had no subsequent outpatient or inpatient surgery at any hospital statewide for at least 2 years. 2 - Adaptive Capacity Planning for Ambulatory Surgery Centers Seokjun Youn, Texas A&M University, 320M Wehner Building, 4217 Texas A&M University, College Station, TX, 77840-4217, United States, Harry Neil Geismar, Chelliah Sriskandarajah, Vikram Tiwari Capacity planning for Ambulatory Surgery Centers (ASCs) is challenging due to multi-stage nature of services and significant uncertainty in patient-mix as well as service duration. We propose a bed capacity planning framework for ASCs and provide implications for practitioners, for example, the impacts of changes in patient-mix or ASC operating structures on capacity. 3 - Evaluating Appointment Scheduling Policies at the Division of Colon and Rectal Surgery of Mayo Clinic Narges Shahraki, Mayo Clinic, Rochester, MN, United States, Mustafa Y. Sir, David Larson, Brian Bernard, Todd Huschka, Gabriela Martinez, Curtis Storlie, Kalyan Pasupathy In this study, we develop a novel multi-level model to evaluate the impact of a priority-based scheduling policy implemented at the Division of Colon and Rectal Surgery of Mayo Clinic. Access time to surgery and variability on the surgeon end-of-day are considered as the performance metrics in our comparison. The results show that the priority-based policy is an effective scheduling policy since it distributes the demand properly through the planning horizon and helps the system to service the high priority patients more efficiently. 4 - Integrated Routing and Scheduling of Anesthesiologists to Off-locations Joonyup Eun, Vanderbilt University Medical Center, Nashville, TN, United States, Vikram Tiwari, Mitchell H. Tsai, Max Breidenstein, Warren S. Sandberg We develop a scenario-based stochastic optimization model that factors in distances between off-location sites, idle time, and tardiness of cases to determine anesthesiologists’ assignment. Most solutions reduce the number of required anesthesia providers than scheduled in real situations. By changing the relative weights, we evaluate the trade-offs among the four performance measures.

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