Evidence map›Paper›PMID 28631139›Full record

SynthesisJournal of medical systems2017

A Systematic Review of Wearable Patient Monitoring Systems - Current Challenges and Opportunities for Clinical Adoption.

Mirza Mansoor Baig, Hamid GholamHosseini, Aasia A Moqeem, Farhaan Mirza, Maria Lindén

Registry-linked trialAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05966857 (FAPO-X), which is not on this map. Cited by 114 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 10 pooled it
54.2field-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.

NCT05966857 nacompletednot on this mapstarted 2023, after this paper: background citation

FAPO-X: Assisted Digital Telemonitoring With Wearables in Patients After Cardiovascular Surgery

TypeinterventionalSponsorUniversity of Sao PauloRan2023 to 2023Enrolled108ConditionsHeart, Surgery, Heart, Functional Disturbance as ResultArmsWearable: Smartwatch
3 · Its place in the literature

Who cites it

114 citing papers in PubMed, 10 syntheses or guidelines pooled it, 332 citations in OpenAlex.

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  8. Heat Health Prevention Measures and Adaptation in Older Populations-A Systematic Review.International journal of environmental research and public health · 2019
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54 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Mirza Mansoor BaigSchool of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand. mirza.baig@aut.ac.nz.
Hamid GholamHosseiniSchool of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand.
Aasia A MoqeemSchool of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand.
Farhaan MirzaSchool of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand.
Maria LindénSchool of Innovation Design and Engineering, Mälardalen University, Västerås, Sweden.
Auckland University of Technology · NZMälardalen University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients. A total of 791 articles were screened and 20 were selected for this review. The most common publication venue was conference proceedings (13, 54%). This review only considered recent studies published between 2015 and 2017. The identified studies involved chronic conditions (6, 30%), rehabilitation (7, 35%), cardiovascular diseases (4, 20%), falls (2, 10%) and mental health (1, 5%). Most studies focussed on the system aspects of WPM solutions including advanced sensors, wireless data collection, communication platform and clinical usability based on a specific area or disease. The current studies are progressing with localized sensor-software integration to solve a specific use-case/health area using non-scalable and 'silo' solutions. There is further work required regarding interoperability and clinical acceptance challenges. The advancement of wearable technology and possibilities of using machine learning and artificial intelligence in healthcare is a concept that has been investigated by many studies. We believe future patient monitoring and medical treatments will build upon efficient and affordable solutions of wearable technology.

Indexed as

Monitoring, PhysiologicArtificial IntelligenceDelivery of Health CareHumansSoftwareBed-side monitoringDecision supporteHealthHealthcare informaticsmHealthRemote patient monitoringWearable devicesWearable monitoring systemsWearable technology

Identifiers

PMID28631139
OpenAlexW2625326488

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.