A privacy protection method for health care big data management based on risk access control
AbstractWith the rapid development of modern information technology, the health care industry is entering a critical stage of intelligence. Faced with the growing health care big data, information security issues are becoming more and more prominent in the management of smart health care, especially the problem of patient privacy leakage is the most serious. Therefore, strengthening the information management of intelligent health care in the era of big data is an important part of the long-term sustainable development of hospitals. This paper first identified the key indicators affecting the privacy disclosure of big data...
Source: Health Care Management Science - July 22, 2019 Category: Hospital Management Source Type: research
IoT with cloud based lung cancer diagnosis model using optimal support vector machine
AbstractIn the last decade, exponential growth of Internet of Things (IoT) and cloud computing takes the healthcare services to the next level. At the same time, lung cancer is identified as a dangerous disease which increases the global mortality rate annually. Presently, support vector machine (SVM) is the effective image classification tool especially in medical imaging. Feature selection and parameter optimization are the effective ways to improve the results of SVM and are conventionally resolved individually. This paper presents an optimal SVM for lung image classification where the parameters of SVM are optimized an...
Source: Health Care Management Science - July 19, 2019 Category: Hospital Management Source Type: research
Integrated k-means clustering with data envelopment analysis of public hospital efficiency
AbstractThe goal of this study is to integrate k-means clustering with data envelopment analysis to examine technical efficiencies in public hospitals in Turkey. A two-step analysis procedure involving provinces and public hospitals is applied in this study. The first step examines similar provinces in terms of welfare state indicators by using k-means clustering and silhouette (Sil) cluster validity index measures. Then, the efficiencies of public hospitals in different groups of provinces are determined. The data are taken from the Turkish Statistical Institute and the 2017 Public Hospitals Statistical Year Book for eigh...
Source: Health Care Management Science - July 18, 2019 Category: Health Management Source Type: research
Multi-modality medical image fusion using hybridization of binary crow search optimization
AbstractIn clinical applications, single modality images do not provide sufficient diagnostic information. Therefore, it is necessary to combine the advantages or complementarities of different modalities of images. In this paper, we propose an efficient medical image fusion system based on discrete wavelet transform and binary crow search optimization (BCSO) algorithm. Here, we consider two different patterns of images as the input of the system and the output is the fused image. In this approach, at first, to enhance the image, we apply a median filter which is used to remove the noise present in the input image. Then, w...
Source: Health Care Management Science - July 9, 2019 Category: Hospital Management Source Type: research
Editorial
(Source: Health Care Management Science)
Source: Health Care Management Science - July 5, 2019 Category: Health Management Source Type: research
A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer ’s disease (AD)
AbstractAssistive technology (AT) involvement in therapeutic treatment has provided simple and efficient healthcare solutions to people. Within a short span of time, mobile health (mHealth) has grown rapidly for assisting people living with a chronic disorder. This research paper presents the comprehensive study to identify and review existing mHealth dementia applications (apps), and also synthesize the evidence of using these applications in assisting people with dementia including Alzheimer ’s disease (AD) and their caregivers. Six electronic databases searched with the purpose of finding literature-based evidence. Th...
Source: Health Care Management Science - June 19, 2019 Category: Hospital Management Source Type: research
Editorial: smart technologies for improving the quality of mobile health care
(Source: Health Care Management Science)
Source: Health Care Management Science - June 14, 2019 Category: Health Management Source Type: research
Symbiotic simulation for the operational management of inpatient beds: model development and validation using Δ-method
AbstractIn many modern hospitals, resources are shared between patients who require immediate care, and must be dealt with as they arrive (emergency patients), and those whose care requirements are partly known to the hospital some time in advance (elective patients). Catering for these two types of patients is a challenging short-term operational decision-making problem, since some portion of each resource must be set aside for emergency patients when planning for the number and type of elective patients to admit. This paper shows how symbiotic simulation can help hospitals with important short-term operational decision m...
Source: Health Care Management Science - June 2, 2019 Category: Hospital Management Source Type: research
Road map for progress and attractiveness of Iranian hospitals by integrating self-organizing map and context-dependent DEA
AbstractHospitals 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. On the other hand, data envelopment analysis (DEA) is a well-known methodology f...
Source: Health Care Management Science - May 11, 2019 Category: Health Management Source Type: research
Simulation-based optimization to improve hospital patient assignment to physicians and clinical units
AbstractA 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. Using a simulation-based optimizatio...
Source: Health Care Management Science - April 18, 2019 Category: Health Management Source Type: research
Identifying the contribution to hospital performance among Chinese regions by an aggregate directional distance function
AbstractIn 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 itse lf 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...
Source: Health Care Management Science - April 18, 2019 Category: Health Management Source Type: research
A decomposition - construction approach for solving the home health care scheduling problem
AbstractSolving 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. Recently, the HOM has been effectively used to model NP-hard COPs in many fiel...
Source: Health Care Management Science - April 16, 2019 Category: Hospital Management Source Type: research
A hybrid genetic algorithm for operating room scheduling
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. Furthermore, we presented four local search procedures that can improve a given solution significantly. Finally, a hybrid genetic algorithm (HGA) that incorporated with initial solutions, local search procedures an...
Source: Health Care Management Science - March 26, 2019 Category: Health Management Source Type: research
Decision models for distinguishing between clinically insignificant and significant tumors in prostate cancer biopsies: an application of Bayes ’ Theorem to reduce costs and improve outcomes
AbstractProstate 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 ...
Source: Health Care Management Science - March 17, 2019 Category: Hospital Management Source Type: research
Technical efficiency and its influencing factors in Malaysian hospital pharmacy services
AbstractVarious 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. Double-bootstrap data envelopment analysis was applied to measure the technical...
Source: Health Care Management Science - March 13, 2019 Category: Health Management Source Type: research
