Refactoring local to cloud data types for mobile apps

Hilton, Michael; Christi, Arpit; Dig, Danny; Moskal, Michał; Burckhardt, Sebastian; Tillmann, Nikolai

doi:10.1145/2593902.2593925

Cited by 7 publications

(2 citation statements)

References 34 publications

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“…Mostly, mHealth apps are developed to be either web based or local smartphone based. 64 In both cases, they can be connected to another software (service) for transfer of information. 65 However, the local application usually lacks data integration capabilities with other clinical databases to fetch patient data for processing; they mostly relay on local patient data and are limited to analyze specific localized issues.…”

Section: Current Issues and Challenges Of Smartphone Applications In Hospital Care Settingsmentioning

confidence: 99%

Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges

Baig

GholamHosseini

Moqeem

et al. 2017

Health Informatics J

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Supporting clinicians in decision making using advanced technologies has been an active research area in biomedical engineering during the past years. Among a wide range of ubiquitous systems, smartphone applications have been increasingly developed in healthcare settings to help clinicians as well as patients. Today, many smartphone applications, from basic data analysis to advanced patient monitoring, are available to clinicians and patients. Such applications are now increasingly integrating into healthcare for clinical decision support, and therefore, concerns around accuracy, stability, and dependency of these applications are rising. In addition, lack of attention to the clinicians' acceptability, as well as the low impact on the medical professionals' decision making, are posing more serious issues on the acceptability of smartphone applications. This article reviews smartphone-based decision support applications, focusing on hospital care settings and their overall impact of these applications on the wider clinical workflow. Additionally, key challenges and barriers of the current ubiquitous device-based healthcare applications are identified. Finally, this article addresses current challenges, future directions, and the adoption of mobile healthcare applications.

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Section: Current Issues and Challenges Of Smartphone Applications In Hospital Care Settingsmentioning

confidence: 99%

Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges

Baig

GholamHosseini

Moqeem

et al. 2017

Health Informatics J

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“…Hilton et al [27] developed Cloudifyer, a touchdevelop IDE plugin which refactors touchdevelop scripts in place. The emphasis of their approach was on enabling multi-user support through the usage of cloud types.…”

Section: Related Workmentioning

confidence: 99%

Seamless task offloading on multi-clouds and edge resources: An experiment

Τσαγκαρόπουλος

Verginadis

Apostolou

et al. 2017

2017 8th International Conference on Information, Intelligence, Systems &Amp; Applications (IISA)

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Cloud computing has been growing at an increasing rate over the last few years. Commercial and scientific applications have come to rely on it as a development tool due to its exceptional characteristics in processing power and storage. The trend has been augmented with the emergence of the Internet of Things and smart processing devices at the edge. Contrary to the line of thought commonly adopted, we present in this work an alternative platform that considers edge devices as possible processing nodes, and provide a two-level task scheduling deployment that can handle not only binary modules, but also code-level fragmentations. We also go through a simple implementation of the platform, using production-ready solutions, while validating it on public and private clouds, and physically-separated edge devices.

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