Evidence map›Paper›PMID 33371223›Full record

ReviewInternational journal of environmental research and public health2020

Coupling Wearable Devices and Decision Theory in the United States Emergency Department Triage Process: A Narrative Review.

Valentina Nino, David Claudio, Christie Schiel, Brendan Bellows

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Valentina NinoMechanical & Industrial Engineering Department, Montana State University, Bozeman, MT 59715 USA.
David ClaudioMechanical & Industrial Engineering Department, Montana State University, Bozeman, MT 59715 USA.ORCID 0000-0001-8068-5932
Christie SchielMechanical & Industrial Engineering Department, Montana State University, Bozeman, MT 59715 USA.
Brendan BellowsMechanical & Industrial Engineering Department, Montana State University, Bozeman, MT 59715 USA.
Montana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research was motivated by the nurses' decision-making process in the current emergency department (ED) triage process in the United States. It explores how continuous vital signs monitoring can be integrated into the ED. The article presents four shortcomings on current ED triage systems and proposes a new conceptual clinical decision support model that exploits the benefits of combining wireless wearable devices with Multi-Attribute Utility Theory to address those shortcomings. A literature review was conducted using various engineering and medical research databases, analyzing current practices and identifying potential improvement opportunities. The results from the literature review show that advancements in wireless wearable devices provide opportunities to enhance current ED processes by monitoring patients while they wait after triage and, therefore, reduce the risk of an adverse event. A dynamic mathematical decision support model to prioritize patients is presented, creating a feedback loop in the ED. The coupling of wearable devices (to collect data) with decision theory (to synthesize and organize the information) can assist in reducing sources of uncertainty inherent to ED systems. The authors also address the feasibility of the proposed conceptual model.

Indexed as

Decision Support Systems, ClinicalEmergency Service, HospitalWearable Electronic DevicesDecision TheoryHumansTriageUnited Statesclosed-loop systemcontinuous patient monitoringemergency departmentMAUTpatient prioritization

Identifiers

PMID33371223
PMCPMC7766031
OpenAlexW3118125649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.