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Health Care Management Science

Mustafa Jahangoshai Rezaee, Abuzar Karimdadi, Hamidreza Izadbakhsh
Hospitals play an important role in healthcare systems and usually stay on the end node of the healthcare chain. Thus, determining their road map to get close to the desired efficiency frontier and developing short-term and long-term plans could help to manage costs and resources, efficiently. As the efficiency frontier depends on the size of the hospital and the complexity of its structure, the homogeneity in benchmarking must be considered. For tackling this problem, the self-organizing map (SOM) is used to create homogeneous groups...
May 12, 2019: Health Care Management Science
Hui Zhang, Thomas J Best, Anton Chivu, David O Meltzer
A fundamental activity in hospital operations is patient assignment, which we define as the process of assigning hospital patients to specific physician services and clinical units based on their diagnosis. When the preferred assignment is not possible, typically due to capacity limits, hospitals often allow for overflow, which is the assignment of patients to other services and/or units. Overflow accelerates assignment, but can also reduce care quality and increase length of stay. This paper develops a discrete-event simulation model to evaluate different assignment strategies...
April 19, 2019: Health Care Management Science
Zhiyang Shen, Vivian Valdmanis
In this paper, we examine efficiency and total factor productivity for hospitals operating in China between the years of 2009-2016. Given reforms in China focusing on the hospital sector, it has been demonstrated that efficiency and productivity are important in meeting the overall objective of meeting more accessibility to hospital care for the population. Measuring an aggregate directional distance function is in itself a non-parametric approach, we report on the decomposition of hospital performance and found that between 2009 and 2010, technical inefficiency (using resources inefficiently) dominated overall inefficiency but beyond 2011-2016, mix inefficiency (misallocation of resources) was higher...
April 19, 2019: Health Care Management Science
Marouene Chaieb, Jaber Jemai, Khaled Mellouli
Solving NP-hard Combinatorial Optimization Problems (COP) is a complex process as it deals with difficult cases essentially when using classical modeling techniques that may fail in handling real-life problems efficiently. In this context, Hierarchical Optimization Models (HOM) can be viewed as an effective alternative for modeling numerous difficult optimization problems. Their efficiency is explained by their ability to relax the COP complexity by decomposing it hierarchically into a set of weaker and easier interconnected subproblems...
April 17, 2019: Health Care Management Science
Yang-Kuei Lin, Yin-Yi Chou
In this research, we studied operating room scheduling problem of assigning a set of surgeries to several multifunctional operating rooms. The objectives are to maximize the utilization of the operating rooms, to minimize the overtime-operating cost, and to minimize the wasting cost for the unused time. To begin with, a revised mathematical model is constructed to assign surgeries to operating rooms within one week. Then, we proposed four easy-to-implement heuristics that can guarantee to find feasible solutions for the studied problem efficiently...
March 27, 2019: Health Care Management Science
Arthur J Swersey, John Colberg, Ronald Evans, Michael W Kattan, Johannes Ledolter, Rodney Parker
Prostate cancer is the second leading cause of death from cancer, behind lung cancer, for men in the U. S, with nearly 30,000 deaths per year. A key problem is the difficulty in distinguishing, after biopsy, between significant cancers that should be treated immediately and clinically insignificant tumors that should be monitored by active surveillance. Prostate cancer has been over-treated; a recent European randomized screening trial shows overtreatment rates of 40%. Overtreatment of insignificant tumors reduces quality of life, while delayed treatment of significant cancers increases the incidence of metastatic disease and death...
March 18, 2019: Health Care Management Science
Nurhafiza Md Hamzah, Kok Fong See
Various pharmacy services are offered in public health facilities, ranging from distributive activities (dispensing) to patient-oriented services (pharmaceutical care). These activities are monitored through indicators established at the national level. In Malaysia, the indicators have not been transformed into a measurement of hospital pharmacy service efficiency. The main objectives of this study were to assess the relative performance of hospital pharmacy services and to investigate the factors that may affect the performance levels...
March 14, 2019: Health Care Management Science
Ai-Bing Ji, Yanhua Qiao, Chang Liu
Nonlinear fuzzy classification models have better classification performance than linear fuzzy classifiers. In many nonlinear fuzzy classification problems, piecewise-linear fuzzy discriminant functions can approximate nonlinear fuzzy discriminant functions. In this paper, we first build fuzzy classifier based on data envelopment analysis (DEA) for incremental separable fuzzy training data, which can be widely applied in the healthcare management with fuzzy attributes, then we apply the proposed fuzzy DEA-based classifier in the diagnosis of Coronary with fuzzy symptoms and the classification of breast cancer dataset with fuzzy disturbance...
March 8, 2019: Health Care Management Science
Changhee Kim, Hyun Jung Kim
The aims of this study are to analyze the efficiency of players comprising the healthcare supply chain comparatively, and to investigate the relationship between these different types of efficiency, eventually seeking the way to optimize a healthcare supply chain. To achieve the aims, the players comprising a healthcare supply chain are classified either into manufacturers, distributors, wholesalers and retailers based on industry, or into the healthcare system and the non-healthcare system based on the system...
March 4, 2019: Health Care Management Science
Sepideh Abolghasem, Mehdi Toloo, Santiago Amézquita
In recent years, most countries around the world have struggled with the consequences of budget cuts in health expenditure, obliging them to utilize their resources efficiently. In this context, performance evaluation facilitates the decision-making process in improving the efficiency of the healthcare system. However, the performance evaluation of many sectors, including the healthcare systems, is, on the one hand, a challenging issue and on the other hand a useful tool for decision- making with the aim of optimizing the use of resources...
March 1, 2019: Health Care Management Science
Sebastian McRae, Jens O Brunner, Jonathan F Bard
This study analyzes the effect of economies of scale and scope on the optimal case mix of a hospital or hospital system. With respect to the ideal volume and patient composition, the goal is to evaluate (i) the impact of changes in the efficiency of resource use with increasing scale, and (ii) to determine the potential effects of spreading fixed costs over a greater number of patients. The problem is formulated as a non-linear mixed integer program. It turns out that this non-linear program is too difficult to be solved with standard software...
February 21, 2019: Health Care Management Science
Min-Chi Chiu, Tin-Chih Toly Chen
Advances in computer and communication technologies have engendered opportunities for developing an improved ubiquitous health care environment. One of the crucial applications is a ubiquitous clinic recommendation system, which entails recommending a suitable clinic to a mobile patient based on his/her location, hospital department, and preferences. However, patients may not be willing or able to express their preferences. To overcome this problem, some ubiquitous clinic recommendation systems mine the historical data of patients to learn their preferences, and they apply an algorithm to adjust the recommendation algorithm after receiving more patient data...
February 15, 2019: Health Care Management Science
Aziz Küçük
No abstract text is available yet for this article.
February 11, 2019: Health Care Management Science
Fengyi Lin, Yung-Jr Deng, Wen-Min Lu, Qian Long Kweh
Improving hospital efficiency is an emerging area of interest among policy makers in the new global economy's healthcare system. To ensure accurate efficiency analyses, we consider the nonhomogeneous input/output characteristics of various hospital departments, particularly the Department of Medicine, Department of Surgery, and Department of Other Specialist Medicine. These departments employ co-inputs to produce nonhomogeneous outputs. Specifically, we employ data envelopment analysis to evaluate the efficiency of 15 veterans hospitals in Taiwan...
February 7, 2019: Health Care Management Science
Jamal Abdul Nasir, Chuangyin Dang
In the domain of Home Health Care (HHC), precise decisions regarding patient's selection, staffing level, and scheduling of health care staff have a significant impact on the efficiency and effectiveness of the HHC system. However, decentralized planning, the absence of well defined decision rules, delayed decisions and lack of interactive tools typically lead towards low satisfaction level among all the stakeholders of the HHC system. In order to address these issues, we propose an integrated three phase decision support methodology for the HHC system...
February 4, 2019: Health Care Management Science
Debora Bettiga, Lucio Lamberti, Emanuele Lettieri
Healthcare is moving towards new patterns and models, with an increasing attention paid to prevention. Smart technologies for mobile health care are emerging as new instruments to monitor the state of essential parameters in citizens. A very debated subject in literature is the critical role played by citizens' acceptance and willingness to pay for mobile health technologies, especially whereas the services provided are preventive rather than curative. The adoption of such technologies is, indeed, a necessary condition for the success of mobile personalized health care...
January 26, 2019: Health Care Management Science
Víctor Giménez, Jorge R Keith, Diego Prior
The objective of this article is to discuss the impact of healthcare financing systems on the efficiency of Mexican hospitals. The Mexican healthcare system is undergoing a process of transformation to establish conditions for allocating limited health resources in order to achieve efficiency and transparency; in this line, there is a concern about the implications of different funding options. In terms of financing arrangements, the Mexican health system is divided into three categories (one private and two public)...
January 19, 2019: Health Care Management Science
Ana Batista, Jorge Vera, David Pozo
Effective admission planning can improve inpatient throughput and waiting times, resulting in better quality of service. The uncertainty in the patient arrival and the availability of resources makes the patient's allocation difficult to manage. Thus, in the admission process hospitals aim to accomplish targets of resource utilization and to lower the cost of service. Both objectives are related and in conflict. In this paper, we present a bi-objective stochastic optimization model to study the trade-off between the resource utilization and the cost of service, taking into account demand and capacity uncertainties...
January 15, 2019: Health Care Management Science
M A Miranda, S Salvatierra, I Rodríguez, M J Álvarez, V Rodríguez
We study the efficiency of operations management in a hospital from the dynamics of the flow of patients. Our principal aim is to characterize strategic departments and seasonal patterns in a hospital from a complex networks approach. Process mining techniques are developed to track out-patients' pathways along different departments for the purpose of building weekly networks. In these networks, departments act as nodes with multiple out/in-going arrows connecting other departments. Strategic departments are classified into target and critical departments...
January 3, 2019: Health Care Management Science
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