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Procedia Computer Science
Article . 2019 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article
License: CC BY NC ND
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Towards PWA in Healthcare

Authors: Felipe Rêgo; Filipe Portela; Manuel Filipe Santos;

Towards PWA in Healthcare

Abstract

Abstract Nowadays there is a very large number of mobile applications that use the network to offer some functionality to users and because of this, applications are limited by the network conditions, such as network latency. These mobile applications usually are developed in a traditional approach, designated as a native approach and its goal is to develop the application to a specific operating system (iOS, Android). Applications used in a working environment are known to improve its process, but the network has the potential to decrease application performance and traditional mobile development is inefficient. Healthcare is a field with huge opportunities for application development because applications have the potential to improve work efficiency and quality of patient care. This paper consists of introducing the Progressive Web Application mobile development approach in the healthcare industry as an m-Health solution. It highlights successful cases of such an approach and key features, that allow establishing a reliable and resilient mobile application, that deals with most challenges involving the network nowadays and is a valid opportunity in the healthcare business. This document also presents a mobile health application for dietary evaluation, compares the PWA approach and other traditional approaches with a SWOT Analysis, PWA success cases, the INTCare system (an intelligent decision support system available in the Centro Hospitalar do Porto) and the opportunity to use Progressive Web App in the INTCare’s Electronic Nursing Record (ENR), which is a web interface that represents clinical patient information, integrated in a new proposed INTCare system architecture design.

Country
Portugal
Related Organizations
Keywords

Progressive Web App, m -Health, ENR, INTCare, Intensive Care

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
Green
gold