Evidence map›Paper›PMID 42552954›Full record

Observational studyEmergency medicine Australasia : EMA2026

Reliability of Contactless Vital Sign Monitoring Posttriage in Emergency Department Walk-In Patients: A Single-Site, Prospective, Observational, Pilot Study.

Courtney West, Hollis Hopkins, Samuel Teague, Danyi Wang, Titilayo Ogunwa, Javaan Chahl, Eloise Bletsas, Hayley Muller, Vinay Gangathimmaiah

Abstract readObservational Study
In one paragraph

Observational study in Emergency medicine Australasia : EMA, 2026. 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

9 authors.

Courtney WestDepartment of Emergency Medicine, Townsville University Hospital, Townsville, Queensland, Australia.ORCID https://orcid.org/0009-0001-6787-5915
Hollis HopkinsDepartment of Emergency Medicine, Townsville University Hospital, Townsville, Queensland, Australia.ORCID https://orcid.org/0009-0008-7481-2403
Samuel TeagueAdelaide University (Formerly University of South Australia), Adelaide, South Australia, Australia.
Danyi WangAdelaide University (Formerly University of South Australia), Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-4113-6794
Titilayo OgunwaAdelaide University (Formerly University of South Australia), Adelaide, South Australia, Australia.
Javaan ChahlAdelaide University (Formerly University of South Australia), Adelaide, South Australia, Australia.
Eloise BletsasDepartment of Emergency Medicine, Townsville University Hospital, Townsville, Queensland, Australia.
Hayley MullerDepartment of Emergency Medicine, Townsville University Hospital, Townsville, Queensland, Australia.
Vinay GangathimmaiahDepartment of Emergency Medicine, Townsville University Hospital, Townsville, Queensland, Australia.ORCID https://orcid.org/0000-0002-9813-4044

Funding

Emergency Medicine Foundation EMJS-451R40-2023-WEST
6 · The paper itself

Abstract

objectiveTo evaluate camera-based, advanced sensor technology for contactless vital sign monitoring (versus standard monitoring) posttriage in adult emergency department patients.

methodsA single-site, prospective, observational study was conducted at Townsville University Hospital Emergency Department between May 2025 and August 2025. Adult (≥ 18 years) walk-in patients were eligible. A convenience sample of consenting participants was recruited. Two sets of vital signs-blood pressure, heart rate, respiratory rate, oxygen saturation, temperature-were obtained. The first set was measured immediately after triage using a dual-camera system comprising a thermographic camera and a second camera with proprietary software. The second set was obtained immediately posttriage using standard monitoring equipment. Reliability and acceptability were the primary and secondary outcomes respectively. Reliability (accuracy and precision) was determined through a Bland-Altman analysis to assess agreement between the two sets of vital signs. Acceptability of technology was assessed using a participant questionnaire.

resultsA total of 300 patients were recruited, of whom 288 had complete data on paired vital signs and were included in the Bland-Altman analysis. Minimal bias was observed across most vital signs, indicating limited systematic error. Respiratory rate, oxygen saturation and temperature showed the closest agreement, whereas systolic blood pressure and heart rate exhibited the widest limits of agreement. Acceptability was high, with most participants reporting comfort, ease of use and overall satisfaction.

conclusionCompared with standard vital sign monitoring, camera-based technology demonstrated good accuracy but variable precision across vital signs. Further algorithm refinement is required before reliable clinical integration.

Indexed as

Vital SignsAdultAgedEmergency Service, HospitalFemaleHeart RateHumansMaleMiddle AgedMonitoring, PhysiologicPilot ProjectsProspective StudiesReproducibility of ResultsRespiratory RateTriagecontactlessemergencytriagevital signs

Identifiers

PMID42552954
PMCPMC13439330

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.