Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology.
The growing worldwide population has increased the need for technologies, computerised software algorithms and smart devices that can monitor and assist patients anytime and anywhere and thus enable them to lead independent lives. The real-time remote monitoring of patients is an important issue in...
| Publicado en: | Journal of Medical Systems Vol. 42; no. 2 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=127989783&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 127989783 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Feb2018 vid: 42 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 127989783 127989783 127989783 10.1007/s10916-017-0883-4 127989783 ppf: 0 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology. aug: au: Kalid, Naser Zaidan, A. A. Zaidan, B. B. Salman, Omar H. Hashim, M. Muzammil, H. affil: Computing Department, Universiti Pendidikan Sultan Idris, 35900, Tg Malim, Perak, Malaysia sug: subj: Monitoring, Physiologic Telemedicine Wearable Sensors Data Analytics Chronic Disease Electrocardiography Blood Pressure Determination Aging Triage Emergency Service Decision Making, Clinical ab: The growing worldwide population has increased the need for technologies, computerised software algorithms and smart devices that can monitor and assist patients anytime and anywhere and thus enable them to lead independent lives. The real-time remote monitoring of patients is an important issue in telemedicine. In the provision of healthcare services, patient prioritisation poses a significant challenge because of the complex decision-making process it involves when patients are considered ‘big data’. To our knowledge, no study has highlighted the link between ‘big data’ characteristics and real-time remote healthcare monitoring in the patient prioritisation process, as well as the inherent challenges involved. Thus, we present comprehensive insights into the elements of big data characteristics according to the six ‘Vs’: volume, velocity, variety, veracity, value and variability. Each of these elements is presented and connected to a related part in the study of the connection between patient prioritisation and real-time remote healthcare monitoring systems. Then, we determine the weak points and recommend solutions as potential future work. This study makes the following contributions. (1) The link between big data characteristics and real-time remote healthcare monitoring in the patient prioritisation process is described. (2) The open issues and challenges for big data used in the patient prioritisation process are emphasised. (3) As a recommended solution, decision making using multiple criteria, such as vital signs and chief complaints, is utilised to prioritise the big data of patients with chronic diseases on the basis of the most urgent cases. pubtype: Academic Journal doctype: equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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