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In the context of globalization and the crises that we are experiencing today, innovation becomes the engine of acceleration and resolution of all kinds of organizational dysfunctions. Different alternatives have been proposed by all researchers and practitioners. The role of this paper is to determine the peculiarities of innovation, including the role played by organizational,…

This paper addresses the quality of private healthcare services in the western region of the Kingdom of Saudi Arabia (KSA) and provides a comprehensive analysis of the customer requirement to improve the quality of these services. The study begins by reviewing literature on the subject of quality in general and then in terms of the…

Worldwide, the epidemiological situation is constantly changing and with the exponential increase in the number of confirmed coronavirus cases, the number of health care workers has decreased significantly and this is due to the direct and daily contact of patients. One of the major challenges of the last few months is to prevent the spread…

This study attempts to develop theoretical criteria for verifying the morality of the actions of artificial intelligent agents, using the Turing test as an archetype and inspiration. This study develops ethical criteria established based on Kohlberg’s moral development theory that might help determine the types of moral acts committed by artificial intelligent agents. Subsequently, it…

This paper aims to simulate the current trajectory of the pandemic growth in the UAE; when it is likely to end and at what cost? It also examines the current and additional possible measures to contain the second wave of the pandemic. The method used is a simple Susceptible-Infected-Recovered (SIR) model called covid19_scenarios. The key…

Day to day huge medical data have been accumulating for diabetic diseases. The complexity of storing, processing ,analyzing and predicting the data related to diabetics is not so easy for healthcare professionals .The prediction of accurate results also has the limitation due to scale of data increasing worldwide for patients, symptoms and test results .In…

Machine learning has been dramatically advanced over several decades, from theory context to a general business and technology implementation. Especially in healthcare research, it is obvious to perceive the scrutinizing implementation of machine learning to warranty the rewarded benefits in early disease detection and service recommendation. Many practitioners and researchers have eventually recognized no absolute…

Big data analysis has important applications in many areas such as sensor networks and connected healthcare. High volume and velocity of big data bring many challenges to data analysis. One possible solution is to summarize the data and provides a manageable data structure to hold a scalable summarization of data for efficient and effective analysis.…

With recent advancements in medical filed, the quantity of healthcare care data is increasing at a faster rate. Medical data classification is considered as a major research topic and numerous research works have been already existed in the literature. Presently, deep learning (DL) models offers an efficient method for developing a dedicated model to determine…

Low power OTAs are the most preferred circuits in the realization of continuous time filters of analog front end of wearable healthcare devices. A low transconductance OTA with series parallel current mirror to realize large time constant of the filter is designed. The differential pair of the OTA uses bulk driven PMOSFETs and the subthreshold…

The increase in the number of elderly people requires multiple efforts to maintain their well-being and health. A wide variety of products and services have been created to enable seniors to live at home for as long as possible. The market success of these solutions depends on acceptance by the different stakeholders. Older people are…

The development of electronic healthcare systems requires to adopt modern technologies and architectures. The use of Electronic Personal Health Record (E-PHR) should be supported by efficient storage such as cloud storage which enables more security, availability and accessibility of patients’ records. Actually, the increase of availability of E-PHR enhances parallel access, which improves the performance…

Dry Eye Disease (DED) is one of the commonly occurring chronic disease today, affecting the vision of eye. It causes severe discomfort in eye, visual disturbance and blurred vision impacting the quality of life of patients. Due to recent advancements in Artificial Intelligence (AI) and rapid progress of analytics techniques, several image modality based computerized…

One of the most prevalent physical limitations of both aging and accidents is immobility. Being bedridden requires great care to avoid the formation of pressure ulcers. Thus, the ‘ActiveRest’ project aimed to develop a textile mattress guard that will contribute to the prevention of pressure ulcers. This textile mattress guard integrates a monitoring system, based…

One of the most critical challenges that large companies, small enterprises and research institutes face, when commercializing their innovations, is the transfer process at the moment of scaling up. These organizations often transfer their innovation to either existing business units or create a new business entirely. The process of transferring innovations to an existing unit…

This paper shows a method applied during the reconstruction of an existing middle size Italian hospital. In fact, during this delicate phase, the project had a significant decrease in storage space and access gates for goods, medicines and medical devices. This aspect has a negative impact on road traffic. There was no consensus among the…

This paper faces the topic of blood products transport by applying simulation, control and data exchange technologies in order to implement a safe and efficient integrated transportation system. As known, the bio-chemical properties of blood and its derivatives are subjected to deterioration whenever a well determined temperature range is not respected for an excessive time…

The purpose of this qualitative research was to explore the influence of hospital logistics on quality of care and patient satisfaction. Hospital logistics was assessed by considering five factors in the patient pathway, namely: physical accessibility of care, waiting time, consultation time, administrative procedures and hospital hotel services. Semi-structured interviews were conducted, following an interview…

In recent years, researchers have focused on the development of many applications of information and communication which could lead to enhance human life. The congestion and road traffic are one of the most problems facing the ambulance transportation to provide fast healthcare services for patients. In this work, a tracking and data transfer system has…

Health Information Technology is playing a key role in healthcare. Specifically, the use of electronic health records has been found to bring about most significant improvements in healthcare quality, mainly as relates to patient management, healthcare delivery and research support. Health record systems adoption has been promoted in many countries to support efficient, high quality…

Knowledge Based Systems play a very important role, within Healthcare, with a primary goal of supporting a high quality service at an optimal cost. A widely accepted knowledge acquisition technique is through the use of Business Rules in a natural language like format. As clinical terminology is centric to HealthCare, a large percentage of these…

Excellence in hospitals supply management results in better quality, best prices, and good deliveries. One of the questions that come up as healthcare organization to capture the economies of scale in purchasing prices and process costs is whether their purchasing activities should be centralized or decentralized. In most cases, centralization strategy usually gives good supplier’s…

Smoking has been proven to negatively affect health in a multitude of ways. As of 2009, smoking has been considered the leading cause of preventable morbidity and mortality in the United States, continuing to plague the country’s overall health. This study aims to investigate the viability and effectiveness of some machine learning algorithms for predicting…

The build-in internet-controlled functions of smart devices such as smart phone, smart television, home healthcare gadget, etc., have made them quite attractive to many segments of consumers. In recent years mankind has witnessed an upsurge usage of such devices for numerous purposes. In this paper, the author is going to show how previously forecasted security…

Big Data Analytics (BDA) is important to utilize data from hospital systems to reduce healthcare costs. BDA enable queries of large volumes of patient data in an interactively dynamic way for healthcare. The study objective was high performance establishment of interactive BDA platform of hospital system. A Hadoop/MapReduce framework was established at University of Victoria…