Abstract:According to WHO Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics human rights are put at heart its design, deployment, use. AI continues significantly outperform humans in terms accuracy, efficiency timely execution medical related administrative processes.This article briefly discusses incorporation b...

Since 90s, the healthcare sector has changed rapidly. These changes oblige the healthcare sector to adopt the management principles applied by the other sectors. Many studies have been realized to reveal and emphasize the significant competitive advantage and cost reduction resulting from supply chain management (SCM) practices. However, the healthcare industry has been extremely slow to embrac...

The healthcare industry is composed of primary and secondary healthcare providers. Each provider needs to exchange information with other providers. Information Systems (IS) developed on different types of hardware and software platforms serve this need. Due to the heterogeneous and distributed nature of information and communicating technology (ICT) in the healthcare industry, sharing of the d...

Using complex event processing with BPM to optimize healthcare Improving provider organization healthcare delivery with BPM Enabling personalized, preventive, and predictive healthcare with BPM This IBM® Redguide™ describes one of the most significant challenges in healthcare today: the need for healthcare providers to effect patient care positively and proactively in the face of increasing pat...

Today medical and Healthcare industry generate loads of diverse data about patients, disease diagnosis, prognosis, management, hospitals’ resources, electronic patient health records, medical devices and etc. Using the most efficient processing and analyzing method for knowledge extraction is a key point to cost-saving in clinical decision making. Data mining, sometimes called data or knowledge...

Healthcare is a large, complex industry, involving many stakeholders, involving issues at individual, organizational, inter-organizational, and/or international levels. The ELeRS framework was recently formulated to help scope e-learning research in the healthcare industry. In this paper, we describe some practical guidelines to assist researchers use this framework. These guidelines assist res...

As healthcare costs increase, there is a need for healthcare service providers to look for ways to contain costs and to improve the service level. Due to the limited resources, it is difficult to create value in the physical value chain, so the health care industry should focus on using information system. This paper introduces the virtual value chain evolution in health care industry, the up-t...

around in multiple fields of applications because they perform measuring tasks in a flexible way. This paper presents a survey on nowadays research efforts on the application of these WSNs to the automobile industry, to agriculture, and to wearable technologies (healthcare and athletes monitoring). From our practical deployments, it is important to highlight the functionalities for the automoti...

Phase-type distributions constitute a very versatile class of distributions. They have been used in a wide range of stochastic modelling applications in areas as diverse as telecommunications, finance, biostatistics, queueing theory, drug kinetics, and survival analysis. Their use in modelling systems in the healthcare industry, however, has so far been limited. In this paper we introduce phase...

Over the last decade, there has been an increasing demand of information technology, specifically, telemedicine and telemonitoring in healthcare. Many elderly and disabled people are unable to look after themselves. They also desire quality healthcare. If the healthcare can be provided at home instead of only hospitals, the service could be more affordable, and people would feel more comfortabl...