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

decision support systems healthcare applications smartphone applications ubiquitous devices in healthcare

Journal

Health informatics journal
ISSN: 1741-2811
Titre abrégé: Health Informatics J
Pays: England
ID NLM: 100883604

Informations de publication

Date de publication:
09 2019
Historique:
pubmed: 18 11 2017
medline: 17 7 2020
entrez: 18 11 2017
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 29148314
doi: 10.1177/1460458217740722
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1091-1104

Auteurs

Mirza Mansoor Baig (MM)

Mälardalen University, Sweden.

Hamid GholamHosseini (H)

Mälardalen University, Sweden.

Aasia A Moqeem (AA)

Mälardalen University, Sweden.

Farhaan Mirza (F)

Auckland University of Technology, New Zealand.
Mälardalen University, Sweden.

Maria Lindén (M)

Mälardalen University, Sweden.

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Classifications MeSH