19,755 research outputs found

    Drivers for wireless handheld technology: views from Queensland nurses

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    [Abstract]: The use of wireless hand held devices is becoming popular in healthcare due to its flexibility and mobility. In the nursing domain, the use of handheld devices, a specific component of wireles technology appears to be beneficial for data collection and other information management functions nurses may undertake. Studies in nursing literature have indicated that handheld devices deliver advantages and benefits at the point of care. In this study a set of 30 interviews with Queensland Nursing Staff in one district health centre was conducted over a period of three months to establish the drivers for the introduction of wireless technology among nurses. The outcome of these interviews is developed into a preliminary model and reported in this paper

    How 5G wireless (and concomitant technologies) will revolutionize healthcare?

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    The need to have equitable access to quality healthcare is enshrined in the United Nations (UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of the UN for the next 15 years. In particular, the third SDG focuses on the need to “ensure healthy lives and promote well-being for all at all ages”. In this paper, we build the case that 5G wireless technology, along with concomitant emerging technologies (such as IoT, big data, artificial intelligence and machine learning), will transform global healthcare systems in the near future. Our optimism around 5G-enabled healthcare stems from a confluence of significant technical pushes that are already at play: apart from the availability of high-throughput low-latency wireless connectivity, other significant factors include the democratization of computing through cloud computing; the democratization of Artificial Intelligence (AI) and cognitive computing (e.g., IBM Watson); and the commoditization of data through crowdsourcing and digital exhaust. These technologies together can finally crack a dysfunctional healthcare system that has largely been impervious to technological innovations. We highlight the persistent deficiencies of the current healthcare system and then demonstrate how the 5G-enabled healthcare revolution can fix these deficiencies. We also highlight open technical research challenges, and potential pitfalls, that may hinder the development of such a 5G-enabled health revolution

    A discussion on the legal barriers in addressing sleeping disorders in aged care using wireless technology

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    [Abstract]: Disturbed sleep can affect personal well being. In the case of old people, disturbed sleep will impede recovery from any illness. Therefore, sleep quality is an essential ingredient for well being. While previous studies have provided a number of solutions based on clinical trials, it appears that 'technology' solutions are not yet caught up with the problems of sleeping specific to aged care. This 'research in progress' paper provides a conceptual model of how wireless technology solutions can provide answers to some of the monitoring problems of sleeping disorders. Based on the review conducted by the JBI on sleep research, this paper provides guidelines to future research. The paper also provides current status of regulatory issues that may affect the uptake of wireless solutions in this domain

    Mobihealth: mobile health services based on body area networks

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    In this chapter we describe the concept of MobiHealth and the approach developed during the MobiHealth project (MobiHealth, 2002). The concept was to bring together the technologies of Body Area Networks (BANs), wireless broadband communications and wearable medical devices to provide mobile healthcare services for patients and health professionals. These technologies enable remote patient care services such as management of chronic conditions and detection of health emergencies. Because the patient is free to move anywhere whilst wearing the MobiHealth BAN, patient mobility is maximised. The vision is that patients can enjoy enhanced freedom and quality of life through avoidance or reduction of hospital stays. For the health services it means that pressure on overstretched hospital services can be alleviated

    U-health expert system with statistical neural network

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    Ubiquitous Health(U-Health) system witch focuses on automated applications that can provide healthcare to human anywhere and anytime using wired and wireless mobile technologies is becoming increasingly important. This system consists of a network system to collect data and a sensor module which measures pulse, blood pressure, diabetes, blood sugar, body fat diet with management and measurement of stress etc, by both wired and wireless and further portable mobile connections. In this paper, we propose an expert system using back-propagation to support the diagnosis of citizens in U-Health system
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