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Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges
Auckland Univ Technol, Auckland, New Zealand..
Auckland Univ Technol, Auckland, New Zealand..ORCID iD: 0000-0002-0135-2687
Auckland Univ Technol, Auckland, New Zealand..
Auckland Univ Technol, Auckland, New Zealand..
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2019 (English)In: Health Informatics Journal, ISSN 1460-4582, E-ISSN 1741-2811, Vol. 25, no 3, p. 1091-1104Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
SAGE PUBLICATIONS INC , 2019. Vol. 25, no 3, p. 1091-1104
Keywords [en]
decision support systems, healthcare applications, smartphone applications, ubiquitous devices in healthcare
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-46035DOI: 10.1177/1460458217740722ISI: 000492276100046PubMedID: 29148314Scopus ID: 2-s2.0-85071280190OAI: oai:DiVA.org:mdh-46035DiVA, id: diva2:1370327
Available from: 2019-11-14 Created: 2019-11-14 Last updated: 2020-11-05Bibliographically approved

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GholamHosseini, HamidLindén, Maria

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