2016 INFORMS Annual Meeting Program

MD24

INFORMS Nashville – 2016

2 - Patient Experience And The Adoption And Use Of Hospital Health Information Technology Yunfeng Shi, Assistant Professor, The Pennsylvania State University, 504E Ford Building, University Park, PA, 16802, United States, yus16@psu.edu, Verónica Fuentes Cáceres This study evaluates the impact of EHR capability on Patient Experience. Using information from the Hospital Compare and HIMSS, we constructed a longitudinal sample (2007 -2013) of 2808 hospitals and estimated the impact with a linear fixed effects model. In particular, we examined how the 5 different levels of EHR capabilities, as defined in previous research, were related to the 10 HCAHPS outcomes reported in Hospital Compare, including patient satisfaction, patient-provider communication, and discharge information. Our findings suggest that having the highest level of EHR capability may have a positive impact on patient experience, although the magnitude of the impact is generally small. 3 - The Evidence On Chronic Kidney Disease Patient Education: A Review Of The Literature And A Case Study Hilary Wolfendale, Doctoral Student, Carnegie Mellon University, The prevalence of chronic kidney disease (CKD) is rising in the United States. While CKD cannot be reversed, CKD health education may delay the progression of the disease. Consequently, Medicare began offering a series of education sessions promoting behaviors that can postpone the need for dialysis or transplant in CKD patients. This study 1) evaluates the current state of evidence supporting education-based interventions for CKD patients and 2) examines electronic health record data from a community nephrology practice for preliminary evidence of any impact of Medicare’s education sessions. 4 - Designing M-health Services For User Engagement And Health Promotion: An App For Healthy Eating Yi-Chin Kato-Lin, Hofstra University, Hempstead, NY, United States, yichin.lin@hofstra.edu Mobile technologies have the potential to engage patients in managing their healthy behaviors, such as healthy eating. However, few advanced functionalities have been employed in practice for promoting healthy eating. This study proposes novel mobile-enabled interventions by upgrading three interventions commonly used in practice: self-monitoring, professional support, and peer support. Surveys reveal user satisfaction and heterogeneous preferences among subpopulations. This study provides strategic insights that are generalizable to other healthy behaviors. MD22 107B-MCC Policy Modeling and Analysis in Healthcare Sponsored: ORinformed Healthcare Policies Sponsored Session Chair: Turgay Ayer, Georgia Institute of Technology, Atlanta, GA, United States, ayer@isye.gatech.edu 1 - Evaluating Diversion Programs For Drug Offenders Margaret Brandeau, Stanford University, Stanford, CA, United States, brandeau@stanford.edu, Cora Bernard, Konner Robison Jails in the US process more than 11 million people each year, and the prevalence of communicable diseases such as HIV, hepatitis C and tuberculosis is much higher in jails than in the general population. We investigate the costs and health impact of a jail-diversion program for low-level drug offenders which is currently being pioneered in Seattle. We simulate the flow of at-risk people through the criminal justice system and drug treatment programs, comparing outcomes for those who get into the diversion program with those who do not. The goal is to estimate the costs and health benefits of the diversion program, and its impact on public health as well as on the criminal justice system. 2 - Carrot Or Stick? The Role Of Incentives In Achieving Meaningful Health It Security M Eric Johnson, Professor, Vanderbilt Universtity, Nashville, TN, 37205, United States, eric.johnson@owen.vanderbilt.edu, Juhee Kwon The U.S. HITECH Act provided healthcare providers with both financial incentives and penalties linked to an EHR certification process, referred to as “meaningful- use” attestation. We consider the impact of these incentive on information security. We find that both carrot and stick strategies are required for mitigating different information security risks. 3 - Prioritizing Hepatitis C Treatment In US Prisons Turgay Ayer, Georgia Tech, ayer@isye.gatech.edu, Can Zhang, Anthony Bonifonte, Anne Spaulding, Jagpreet Chhatwal Prisons, which represent approximately 30% of the national HCV prevalence, offer a great opportunity to control the epidemic of HCV. However, state prison systems typically have very tight budgets and cannot bear the cost burden of HCV Hamburg Hall, 4800 Forbes Avenue, Pittsburgh, PA, 15213, United States, hwolfend@andrew.cmu.edu, Rema Padman, Amelia M Haviland

treatment. Therefore, in current practice, only a small portion of HCV-infected inmates are treated based on some prioritization rules. In this study, we propose a restless bandit model framework to support HCV treatment decisions in prisons. We propose a capacity-adjusted closed-form index-based prioritization policy and show that our policy performs much better than the myopic policy and the well- known Whittle’s index.

MD23

108-MCC Healthcare Delivery with New Technology Development and Patient Choice Sponsored: Health Applications Sponsored Session

Chair: Mabel Chou, National University of Singapore, Mochtar Riady Building, 15 Kent Ridge Drive, BIZ1 #8-66, Singapore, Singapore, mabelchou@nus.edu.sg 1 - Optimal Mobile Health Clinic Delivery Aimed At Minimizing Long-run Average Healthcare Costs Fang Liu, Nanyang Technological University, liu_fang@ntu.edu.sg, Pengfei Guo, Song Jiu, Yulan Wang People in remote area have poor access to health care services. Mobile health clinics (MHC) provides a solution to this problem by delivering health care services to them. We first develop a discrete-time Markov model to capture the progression of a chronic disease and then characterise the optimal delivery policy that minimizes the long-run average healthcare cost. we find that when the disease is fast progressive, MHC should be delivered in every period or two periods. 2 - Appointment Scheduling With Time-dependent Patient No-show Qingxia Kong, Assistant Professor, Erasmus University, Rotterdam, Netherlands, qingxia.kong@gmail.com, Shan Li, Nan Liu, Chung-Piaw Teo, Zhenzhen Yan We study independent data sets from countries on two continents which identify a significant time-of-day effect on patient arrival probabilities. We deploy a distributionally robust model to find the optimal scheduled arrival times for patients. 3 - Hospital Portering Service Delivery Analysis And Design Mabel Chou, National University of Singapore, Singapore, Singapore, mabelchou@nus.edu.sg This paper aims to improve the overall performance of the porter system at a hospital in Singapore. We focus on reducing the response times of porters and therefore reducing the patient waiting times. Our analysis reveals that the performance of porter stations is in general better than the performance of central pool station with respect to response and completion times for jobs. We discover three main reasons for the performance differences, which are an understaffed central pool, an overstaffed emergency department and possibly other stations, and differences in distances travelled between central pool and stations. We then discuss how to redesign the system to improve the overall performance. 109-MCC Decision Models in Healthcare/Clinical Settings. Sponsored: Health Applications Sponsored Session Chair: Vishal Ahuja, Southern Methodist University, 12, Dallas, TX, United States, vahuja@smu.edu 1 - Issuing Policies For Hospital Blood Inventory Alireza Sabouri, Haskayne School of Business, University of Calgary, alireza.sabouri@haskayne.ucalgary.ca, Steven Shechter, Woonghee Tim Huh We propose a model for allocating red blood cells for transfusion to patients, which is motivated by recent evidence suggesting that transfusing older blood is associated with increased mortality rate. We study the properties of blood issuance policies that balance the trade-off between “quality” measured in average age of blood transfused and “efficiency” measured in the amount of shortage. Based on our analysis, we design efficient issuance policies and evaluate their performance. MD24

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