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Health Care Management Science

Daniel A Asamoah, Ramesh Sharda, Howard N Rude, Derek Doran
Long queues and wait times often occur at hospitals and affect smooth delivery of health services. To improve hospital operations, prior studies have developed scheduling techniques to minimize patient wait times. However, these studies lack in demonstrating how such techniques respond to real-time information needs of hospitals and efficiently manage wait times. This article presents a multi-method study on the positive impact of providing real-time scheduling information to patients using the RFID technology...
October 12, 2016: Health Care Management Science
Virginia Ahalt, Nilay Tanık Argon, Serhan Ziya, Jeff Strickler, Abhi Mehrotra
According to American College of Emergency Physicians, emergency department (ED) crowding occurs when the identified need for emergency services exceeds available resources for patient care in the ED, hospital, or both. ED crowding is a widely reported problem and several crowding scores are proposed to quantify crowding using hospital and patient data as inputs for assisting healthcare professionals in anticipating imminent crowding problems. Using data from a large academic hospital in North Carolina, we evaluate three crowding scores, namely, EDWIN, NEDOCS, and READI by assessing strengths and weaknesses of each score, particularly their predictive power...
October 4, 2016: Health Care Management Science
Abdullah Alibrahim, Shinyi Wu
Accountable care organizations (ACO) in the United States show promise in controlling health care costs while preserving patients' choice of providers. Understanding the effects of patient choice is critical in novel payment and delivery models like ACO that depend on continuity of care and accountability. The financial, utilization, and behavioral implications associated with a patient's decision to forego local health care providers for more distant ones to access higher quality care remain unknown. To study this question, we used an agent-based simulation model of a health care market composed of providers able to form ACO serving patients and embedded it in a conditional logit decision model to examine patients capable of choosing their care providers...
October 4, 2016: Health Care Management Science
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No abstract text is available yet for this article.
September 19, 2016: Health Care Management Science
Dimitris Bertsimas, John Silberholz, Thomas Trikalinos
Important decisions related to human health, such as screening strategies for cancer, need to be made without a satisfactory understanding of the underlying biological and other processes. Rather, they are often informed by mathematical models that approximate reality. Often multiple models have been made to study the same phenomenon, which may lead to conflicting decisions. It is natural to seek a decision making process that identifies decisions that all models find to be effective, and we propose such a framework in this work...
September 17, 2016: Health Care Management Science
Michelle Alvarado, Lewis Ntaimo
Oncology clinics are often burdened with scheduling large volumes of cancer patients for chemotherapy treatments under limited resources such as the number of nurses and chairs. These cancer patients require a series of appointments over several weeks or months and the timing of these appointments is critical to the treatment's effectiveness. Additionally, the appointment duration, the acuity levels of each appointment, and the availability of clinic nurses are uncertain. The timing constraints, stochastic parameters, rising treatment costs, and increased demand of outpatient oncology clinic services motivate the need for efficient appointment schedules and clinic operations...
September 16, 2016: Health Care Management Science
Diego A Martinez, Felipe Feijoo, Jose L Zayas-Castro, Scott Levin, Tapas K Das
Current market conditions create incentives for some providers to exercise control over patient data in ways that unreasonably limit its availability and use. Here we develop a game theoretic model for estimating the willingness of healthcare organizations to join a health information exchange (HIE) network and demonstrate its use in HIE policy design. We formulated the model as a bi-level integer program. A quasi-Newton method is proposed to obtain a strategy Nash equilibrium. We applied our modeling and solution technique to 1,093,177 encounters for exchanging information over a 7...
September 6, 2016: Health Care Management Science
Mário Amorim Lopes, Álvaro Santos Almeida, Bernardo Almada-Lobo
Starting in the 50s, healthcare workforce planning became a major concern for researchers and policy makers, since an imbalance of health professionals may create a serious insufficiency in the health system, and eventually lead to avoidable patient deaths. As such, methodologies and techniques have evolved significantly throughout the years, and simulation, in particular system dynamics, has been used broadly. However, tools such as stochastic agent-based simulation offer additional advantages for conducting forecasts, making it straightforward to incorporate microeconomic foundations and behavior rules into the agents...
September 3, 2016: Health Care Management Science
Hui Zhang, Christian Wernz, Danny R Hughes
Payment innovations that better align incentives in health care are a promising approach to reduce health care costs and improve quality of care. Designing effective payment systems, however, is challenging due to the complexity of the health care system with its many stakeholders and their often conflicting objectives. There is a lack of mathematical models that can comprehensively capture and efficiently analyze the complex, multi-level interactions and thereby predict the effect of new payment systems on stakeholder decisions and system-wide outcomes...
September 1, 2016: Health Care Management Science
Lukas Kwietniewski, Jonas Schreyögg
While determinants of efficiency have been the subject of a large number of studies in the inpatient sector, relatively little is known about factors influencing efficiency of physician practices in the outpatient sector. With our study, we provide the first paper to estimate physician practice profit efficiency and its' determinants. We base our analysis on a unique panel data set of 4964 physician practices for the years 2008 to 2010. The data contains information on practice costs and revenues, services provided, as well as physician and practice characteristics...
August 30, 2016: Health Care Management Science
Antonio Vera, Pythagoras Petratos, Torsten Oliver Salge
This paper develops and tests a dynamic model of hospital focus. It does so by tracing the performance trajectories of specialist and general hospitals to identify whether a performance gap exists and whether it widens or shrinks over time. Our longitudinal analyses of all hospital organizations within the English National Health Service (NHS) reveal not only a notable performance gap between specialist and general hospitals in particular with regards to patient satisfaction that widens over time, but also the emergence of a gap especially with regards to hospital staff job satisfaction...
August 15, 2016: Health Care Management Science
Jie Bai, Andreas Fügener, Jan Schoenfelder, Jens O Brunner
The intensive care unit (ICU) is a crucial and expensive resource largely affected by uncertainty and variability. Insufficient ICU capacity causes many negative effects not only in the ICU itself, but also in other connected departments along the patient care path. Operations research/management science (OR/MS) plays an important role in identifying ways to manage ICU capacities efficiently and in ensuring desired levels of service quality. As a consequence, numerous papers on the topic exist. The goal of this paper is to provide the first structured literature review on how OR/MS may support ICU management...
August 12, 2016: Health Care Management Science
Thu-Ba T Nguyen, Appa Iyer Sivakumar, Stephen C Graves
This paper considers how to schedule appointments for outpatients, for a clinic that is subject to appointment lead-time targets for both new and returning patients. We develop heuristic rules, which are the exact and relaxed appointment scheduling rules, to schedule each new patient appointment (only) in light of uncertainty about future arrivals. The scheduling rules entail two decisions. First, the rules need to determine whether or not a patient's request can be accepted; then, if the request is not rejected, the rules prescribe how to assign the patient to an available slot...
August 8, 2016: Health Care Management Science
Farrokh Alemi, Manaf Zargoush, Jee Vang
In learning causal networks, typically cross-sectional data are used and the sequence among the network nodes is learned through conditional independence. Sequence is inherently a longitudinal concept. We propose to learn sequence of events in longitudinal data and use it to orient arc directions in a network learned from cross-sectional data. The network is learned from cross-sectional data using various established algorithms, with one modification. Arc directions that do not agree with the longitudinal sequence were prohibited...
July 30, 2016: Health Care Management Science
William P Millhiser
We give an efficient method for enumerating Kaandorp and Koole's (2007; Health Care Mgmt Sci 10:217-229) "full neighborhood" of candidate improvement schedules employed by their algorithm's local search for the optimal outpatient appointment schedule. A proposition is given that the first appointment interval is always used in the optimal schedule; this allows convenient indexing within our method.
September 2016: Health Care Management Science
Parimal Kulkarni, L Douglas Smith, Keith F Woeltje
We compare statistical approaches for predicting the likelihood that individual patients will require readmission to hospital within 30 days of their discharge and for setting quality-control standards in that regard. Logistic regression, neural networks and decision trees are found to have comparable discriminating power when applied to cases that were not used to calibrate the respective models. Significant factors for predicting likelihood of readmission are the patient's medical condition upon admission and discharge, length (days) of the hospital visit, care rendered during the hospital stay, size and role of the medical facility, the type of medical insurance, and the environment into which the patient is discharged...
September 2016: Health Care Management Science
Martin van Ineveld, Jeroen van Oostrum, Rob Vermeulen, Adri Steenhoek, Joris van de Klundert
This study addresses the productivity of Dutch hospitals since the start of the health systems reform in 2005. We consider DEA based measures, which include efficiency and quality for the complete set of Dutch hospitals and present cross-sectional and longitudinal analysis. In particular, we consider how hospital efficiency has developed. As the reform created an environment of regulated competition, we pay special attention to relative efficiency. Our results suggest that the differences in efficiency among hospitals have become larger...
September 2016: Health Care Management Science
Fei Li, Diwakar Gupta, Sandra Potthoff
Operating rooms (ORs) in US hospitals are costly to staff, generate about 70 % of a hospital's revenues, and operate at a staffed-capacity utilization of 60-70 %. Many hospitals allocate blocks of OR time to individual or groups of surgeons as guaranteed allocation, who book surgeries one at a time in their blocks. The booking procedure frequently results in unused time between surgeries. Realizing that this presents an opportunity to improve OR utilization, hospitals manually reschedule surgery start times one or two days before each day of surgical operations...
September 2016: Health Care Management Science
Marina Evrim Johnson, Nagen Nagarur
Healthcare costs in the US, as well as in other countries, increase rapidly due to demographic, economic, social, and legal changes. This increase in healthcare costs impacts both government and private health insurance systems. Fraudulent behaviors of healthcare providers and patients have become a serious burden to insurance systems by bringing unnecessary costs. Insurance companies thus develop methods to identify fraud. This paper proposes a new multistage methodology for insurance companies to detect fraud committed by providers and patients...
September 2016: Health Care Management Science
Bohui Liang, Ayten Turkcan
The oncology clinics use different nursing care delivery models to provide chemotherapy treatment to cancer patients. Functional and primary care delivery models are the most commonly used methods in the clinics. In functional care delivery model, patients are scheduled for a chemotherapy appointment without considering availabilities of individual nurses, and nurses are assigned to patients according to patient acuities, nursing skill, and patient mix on a given day after the appointment schedule is determined...
September 2016: Health Care Management Science
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