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Multi-sources data fusion framework for remote triage prioritization in telehealth

The healthcare industry is streamlining processes to offer more timely and effective services to all patients. Computerized software algorithm and smart devices can streamline the relation between users and doctors by providing more services inside the healthcare telemonitoring systems. This paper p...

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Main Authors:	Salman, Omar H., A. Rasid, Mohd Fadlee, Saripan, M. Iqbal, K. Subramaniam, Shamala
Format:	Article
Language:	English
Published:	Springer 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/34612/1/Multi-sources%20data%20fusion%20framework%20for%20remote%20triage%20prioritization%20in%20telehealth.pdf http://psasir.upm.edu.my/id/eprint/34612/ http://link.springer.com/article/10.1007%2Fs10916-014-0103-4
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spelling	my.upm.eprints.346122016-01-22T07:26:19Z http://psasir.upm.edu.my/id/eprint/34612/ Multi-sources data fusion framework for remote triage prioritization in telehealth Salman, Omar H. A. Rasid, Mohd Fadlee Saripan, M. Iqbal K. Subramaniam, Shamala The healthcare industry is streamlining processes to offer more timely and effective services to all patients. Computerized software algorithm and smart devices can streamline the relation between users and doctors by providing more services inside the healthcare telemonitoring systems. This paper proposes a multi-sources framework to support advanced healthcare applications. The proposed framework named Multi Sources Healthcare Architecture (MSHA) considers multi-sources: sensors (ECG, SpO2 and Blood Pressure) and text-based inputs from wireless and pervasive devices of Wireless Body Area Network. The proposed framework is used to improve the healthcare scalability efficiency by enhancing the remote triaging and remote prioritization processes for the patients. The proposed framework is also used to provide intelligent services over telemonitoring healthcare services systems by using data fusion method and prioritization technique. As telemonitoring system consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the MSHA algorithm in the base station is demonstrated in this paper. The achievement of a high level of accuracy in the prioritization and triaging patients remotely, is set to be our main goal. Meanwhile, the role of multi sources data fusion in the telemonitoring healthcare services systems has been demonstrated. In addition to that, we discuss how the proposed framework can be applied in a healthcare telemonitoring scenario. Simulation results, for different symptoms relate to different emergency levels of heart chronic diseases, demonstrate the superiority of our algorithm compared with conventional algorithms in terms of classify and prioritize the patients remotely. Springer 2014-09 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/34612/1/Multi-sources%20data%20fusion%20framework%20for%20remote%20triage%20prioritization%20in%20telehealth.pdf Salman, Omar H. and A. Rasid, Mohd Fadlee and Saripan, M. Iqbal and K. Subramaniam, Shamala (2014) Multi-sources data fusion framework for remote triage prioritization in telehealth. Journal of Medical Systems, 38 (9). art. no. 103. pp. 1-23. ISSN 0148-5598; ESSN: 1573-689X http://link.springer.com/article/10.1007%2Fs10916-014-0103-4 10.1007/s10916-014-0103-4
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	The healthcare industry is streamlining processes to offer more timely and effective services to all patients. Computerized software algorithm and smart devices can streamline the relation between users and doctors by providing more services inside the healthcare telemonitoring systems. This paper proposes a multi-sources framework to support advanced healthcare applications. The proposed framework named Multi Sources Healthcare Architecture (MSHA) considers multi-sources: sensors (ECG, SpO2 and Blood Pressure) and text-based inputs from wireless and pervasive devices of Wireless Body Area Network. The proposed framework is used to improve the healthcare scalability efficiency by enhancing the remote triaging and remote prioritization processes for the patients. The proposed framework is also used to provide intelligent services over telemonitoring healthcare services systems by using data fusion method and prioritization technique. As telemonitoring system consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the MSHA algorithm in the base station is demonstrated in this paper. The achievement of a high level of accuracy in the prioritization and triaging patients remotely, is set to be our main goal. Meanwhile, the role of multi sources data fusion in the telemonitoring healthcare services systems has been demonstrated. In addition to that, we discuss how the proposed framework can be applied in a healthcare telemonitoring scenario. Simulation results, for different symptoms relate to different emergency levels of heart chronic diseases, demonstrate the superiority of our algorithm compared with conventional algorithms in terms of classify and prioritize the patients remotely.
format	Article
author	Salman, Omar H. A. Rasid, Mohd Fadlee Saripan, M. Iqbal K. Subramaniam, Shamala
spellingShingle	Salman, Omar H. A. Rasid, Mohd Fadlee Saripan, M. Iqbal K. Subramaniam, Shamala Multi-sources data fusion framework for remote triage prioritization in telehealth
author_facet	Salman, Omar H. A. Rasid, Mohd Fadlee Saripan, M. Iqbal K. Subramaniam, Shamala
author_sort	Salman, Omar H.
title	Multi-sources data fusion framework for remote triage prioritization in telehealth
title_short	Multi-sources data fusion framework for remote triage prioritization in telehealth
title_full	Multi-sources data fusion framework for remote triage prioritization in telehealth
title_fullStr	Multi-sources data fusion framework for remote triage prioritization in telehealth
title_full_unstemmed	Multi-sources data fusion framework for remote triage prioritization in telehealth
title_sort	multi-sources data fusion framework for remote triage prioritization in telehealth
publisher	Springer
publishDate	2014
url	http://psasir.upm.edu.my/id/eprint/34612/1/Multi-sources%20data%20fusion%20framework%20for%20remote%20triage%20prioritization%20in%20telehealth.pdf http://psasir.upm.edu.my/id/eprint/34612/ http://link.springer.com/article/10.1007%2Fs10916-014-0103-4
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score	13.211869

Multi-sources data fusion framework for remote triage prioritization in telehealth

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