8 research outputs found

    Performance of a wireless telemedicine system in a hospital accident and emergency department

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    The article version is the pre-edited accepted version of the paper which is entitled: Performance of a wireless telemedicine system: MedLANThis paper validates a medical videoconferencing system previously developed, called MedLAN. Besides the positive comments that medical consultants might have regarding a wireless videoconferencing system designed for use inside the A&E wards, a methodically and exhaustive clinical testing of such a system must take place before adopting such technology in a wider scale. Clinical testing using a wide number of patients, modalities and a number of medical consultants proved that the suggested system could operate effectively under most conditions and it would be beneficiary to the patients. After this clinical evaluation, a number of hospitals showed interest on installing such a system in their A&E wards

    What Do Men Want from a Health Screening Mobile App? A Qualitative Study.

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    There is a lack of mobile app which aims to improve health screening uptake developed for men. As part of the study to develop an effective mobile app to increase health screening uptake in men, we conducted a needs assessment to find out what do men want from a health screening mobile app. In-depth interviews and focus group discussions were conducted with 31 men from a banking institution in Kuala Lumpur. The participants were purposely sampled according to their job position, age, ethnicity and screening status. The recruitment was stopped once data saturation was achieved. The audio-recorded interviews were transcribed verbatim and analyzed using thematic approach. Three themes emerged from the analysis and they were: content, feature and dissemination. In terms of the content, men wanted the app to provide information regarding health screening and functions that can assess their health; which must be personalized to them and are trustable. The app must have user-friendly features in terms of information delivery, ease of use, attention allocation and social connectivity. For dissemination, men proposed that advertisements, recommendations by health professionals, providing incentive and integrating the app as into existing systems may help to increase the dissemination of the app. This study identified important factors that need to be considered when developing a mobile app to improve health screening uptake. Future studies on mobile app development should elicit users' preference and need in terms of its content, features and dissemination strategies to improve the acceptability and the chance of successful implementation

    From Mobile Cognition to Cognitive Mobility: QoS-Aware, Mobile Healthcare Services

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    In the advent of miniaturized mobile devices, on a growing scale enriched in computational, storage and wireless communication resources, the need for delivery of highly-personalized, intelligent mobile applications anytime-anywhere-anyhow is becoming a must for any successful service provider. Mobile service users expect high personalization, context-awareness and intuitive interfaces based on their needs at hand; yet, current challenge lies in recognition of user's context and needs. In our approach, a service collects data using an array of diverse ubiquitous sensors embedded in user's devices and environment, and learns a model of the ‘user's world'; his patterns of habits, usual contexts and needs. Necessarily, the service learns on a continuous basis; along the user's mobility in his spatial-temporal, personal, professional, social and technological spaces. This process we denote a mobile cognition. Based on the learned ‘user's world', a cognitive mobility process, proactively and intelligently adapts the service delivery to the user's needs. We demonstrate the efficiency and effectiveness of such an intelligent service delivery in the Quality of Service (QoS)-information System (QoSIS) case study for a mobile healthcare (mhealth) service, i.e., where the user's health state is a human aspect of the service's intelligence and becomes the user's context. We propose the use of the concepts of mobile cognition and cognitive mobility for delivering intelligent services at large

    Image and Signal Processing for Networked E-Health Applications

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