Evidence map›Paper›PMID 42681604›Full record

ArticleBMC emergency medicine2026

Drones providing live video to dispatch centers during time-critical incidents.

M Kristiansson, M Andersson Hagiwara, L Svensson, S Schierbeck, Y Khalid, P Lundgren, C Magnusson, P Nordberg, J Hollenberg, M Ringh and 2 more

Abstract read
In one paragraph

Article in BMC emergency medicine, 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

12 authors.

M KristianssonCentre for Resuscitation Science, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden. magnus.kristiansson@ki.se.ORCID 0009-0001-8664-1364
M Andersson HagiwaraPrehospen-Centre for Prehospital Research, University of Borås, Borås, Sweden.
L SvenssonCentre for Resuscitation Science, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.
S SchierbeckCentre for Resuscitation Science, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.
Y KhalidDivision of Prehospital Care, Region Västra Götaland, Regionhälsan, Gothenburg, Sweden.
P LundgrenPrehospen-Centre for Prehospital Research, University of Borås, Borås, Sweden.
C MagnussonEmergency Medical Services, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.
P NordbergCentre for Resuscitation Science, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.
J HollenbergCentre for Resuscitation Science, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.
M RinghCentre for Resuscitation Science, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.
S ForsbergCentre for Resuscitation Science, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.
A ClaessonCentre for Resuscitation Science, Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly triage of emergency calls at dispatch centres relies mainly on verbal information, which may not reflect the complexity and severity of a situation, limiting dispatchers situational awareness and early decision-making. Real-time live-video could potentially be provided by drones before the arrival of emergency medical services and fire department. The aim was to evaluate feasibility and operational value of automated beyond visual line of sight (BVLOS) drones delivering early live-video to emergency dispatch centres during time-critical incidents.

methodsThis prospective interventional feasibility study was conducted in the region of western Sweden between 7th May-7th November 2025. One drone system with automated external defibrillator and a high-resolution camera was integrated into regional medical/fire dispatch centers, covering a 141 km

resultsOf 169 alerts, the drone system was operational in 120 (71%). Within this operational population, the drone was deployed in 56/120 alerts (47%). Eleven alerts were subsequently cancelled following updated dispatch information, leaving 45 completed alerts in which the drone arrived on scene and delivered live video to the dispatch centres. The drone arrived first or was the only resource on scene in 44/45 completed alerts (98%), with a median dispatch-to-arrival time of 4:24 min compared with 8:50 min for responding ground units (p < 0.001). Video was transferred to dispatch centres in all (100%) completed alerts and was uninterrupted in 91%. Emergency medical dispatchers reported low/moderate value in 79% of incidents, and high value in 21% (n = 33), with a median score of 3.0 (IQR 1.0-5.0) on a 0-10 scale. Fire dispatchers reported low/moderate value in 33% and high value in 66% (n = 6), median 7.0 (IQR 5.5-9.3) on the same scale. No adverse events were reported.

conclusionDeployment of a BVLOS drone to diverse time-critical emergencies is operationally feasible and demonstrates a clear arrival time advantage over ground responders. Perceived operational utility varies between dispatcher groups, with fire and rescue services deriving the greatest tactical benefit from early aerial situational awareness. These findings indicate potential for future drone-integration into emergency response systems.

Indexed as

Emergency Medical DispatchEmergency Medical Service Communication SystemsTriageUnmanned Aerial DevicesVideo RecordingAccidents, TrafficFeasibility StudiesFiresHumansOut-of-Hospital Cardiac ArrestProspective StudiesSwedenTime FactorsAssessmentDroneEMDCVideo

Identifiers

PMID42681604
PMCPMC13531748

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.