Evidence map›Paper›PMID 29564649›Full record

SynthesisJournal of medical systems2018

Systematic Review of Real-time Remote Health Monitoring System in Triage and Priority-Based Sensor Technology: Taxonomy, Open Challenges, Motivation and Recommendations.

O S Albahri, A S Albahri, K I Mohammed, A A Zaidan, B B Zaidan, M Hashim, Omar H Salman

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 11 pooled it
11.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 11 syntheses or guidelines pooled it, 214 citations in OpenAlex.

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  15. High-resolution portable bluetooth module for ECG and EMG acquisition.Computational and structural biotechnology journal · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

O S AlbahriDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
A S AlbahriDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
K I MohammedDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
A A ZaidanDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia. aws.alaa@gmail.com.
B B ZaidanDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
M HashimDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
Omar H SalmanAl-Iraqia University, Al Adhmia - HaibaKhaton, Baghdad, Iraq.
Sultan Idris Education University · MYIraqi University · IQ

Funding

UPSI grant 2017-0179-109-01
6 · The paper itself

Abstract

The new and ground-breaking real-time remote monitoring in triage and priority-based sensor technology used in telemedicine have significantly bounded and dispersed communication components. To examine these technologies and provide researchers with a clear vision of this area, we must first be aware of the utilised approaches and existing limitations in this line of research. To this end, an extensive search was conducted to find articles dealing with (a) telemedicine, (b) triage, (c) priority and (d) sensor; (e) comprehensively review related applications and establish the coherent taxonomy of these articles. ScienceDirect, IEEE Xplore and Web of Science databases were checked for articles on triage and priority-based sensor technology in telemedicine. The retrieved articles were filtered according to the type of telemedicine technology explored. A total of 150 articles were selected and classified into two categories. The first category includes reviews and surveys of triage and priority-based sensor technology in telemedicine. The second category includes articles on the three-tiered architecture of telemedicine. Tier 1 represents the users. Sensors acquire the vital signs of the users and send them to Tier 2, which is the personal gateway that uses local area network protocols or wireless body area network. Medical data are sent from Tier 2 to Tier 3, which is the healthcare provider in medical institutes. Then, the motivation for using triage and priority-based sensor technology in telemedicine, the issues related to the obstruction of its application and the development and utilisation of telemedicine are examined on the basis of the findings presented in the literature.

Indexed as

Computer SecurityComputer SystemsEmergency Medical ServicesEmergency Service, HospitalHumansMonitoring, PhysiologicRemote Sensing TechnologyTelemedicineTriageVital SignsWireless TechnologyHealthcare ServicesPriorityReal-time remote monitoringSensorTelehealthTelemedicineTriage

Identifiers

PMID29564649
OpenAlexW2790684635

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.