Evidence map›Paper›PMID 40727604›Full record

ArticleArchives of academic emergency medicine2025

Smart Glasses with Augmented Reality Workflow; A Modern Tool for Triage in Mass Casualty Incidents.

Korakot Apiratwarakul, Lap Woon Cheung, Chatkhane Pearkao, Kamonwon Ienghong

Abstract read
In one paragraph

Article in Archives of academic emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Korakot ApiratwarakulDepartment of Emergency Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Lap Woon CheungAccident & Emergency Department, Princess Margaret Hospital, Kowloon, Hong Kong.
Chatkhane PearkaoDepartment of Adult Nursing, Faculty of Nursing, Khon Kaen University, Khon Kaen, Thailand.
Kamonwon IenghongDepartment of Emergency Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Smart glasses with an augmented reality workflow have emerged as a new tool for triage in mass casualty incidents (MCIs). This study aimed to investigate the accuracy and time efficiency of smart glasses in MCIs triage. Methods: A retrospective field exercise study was conducted in November 2024 at EMS Srinagarind Hospital, Thailand. All participants performed self-assessments and used smart glasses for triage sieve. Data were recorded in terms of accuracy and time required for triage. Results: A total of 108 participants were enrolled, with a mean age of 33.4 years, of whom 57.4% were female. The smart glasses group achieved the highest accuracy in triage level 1, with 98.3% compared to 79.3% in the self-assessment group (P < 0.001). The smart glasses group also completed triage significantly faster than the self-assessment group, with a time of 23.5 versus 72.4 seconds for triage level 1 and 31.3 versus 89.1 seconds for level 2. Conclusion: The use of smart glasses with an augmented reality workflow for triage sieve in MCIs is beneficial, improving both accuracy and evaluation time for patients in triage levels 1 and 2.

Indexed as

Artificial intelligenceEmergency medical servicesHealth care systemsTechnology

Identifiers

PMID40727604
PMCPMC12303413

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LicenceCC BY-NC
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Registered trials

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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.