Evidence map›Paper›PMID 42012582›Full record

ArticleJournal of medical systems2026

Telemedicine Devices in Prehospital Trauma Care: A Scoping Review of Telemedical Actions, Clinical Utilities and Implementation Barriers.

Ziqiang Xu, Weijing Sui, Weilin Jiang, Jingbang Liu, Hong Zhu, Yeru Xia, Xiaoyan Gong, Yiyu Zhuang

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 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

8 authors.

Ziqiang XuNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China.ORCID http://orcid.org/0009-0008-2869-4944
Weijing SuiNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China.
Weilin JiangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China.
Jingbang LiuNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China.
Hong ZhuNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China.
Yeru XiaNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China.
Xiaoyan GongNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China.
Yiyu ZhuangNursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China. zhuangyy@zju.edu.cn.ORCID http://orcid.org/0000-0003-1171-4351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Device-enabled telemedicine is increasingly used in prehospital trauma, but reported workflows remain heterogeneous across operational settings, device types, and study designs. A workflow-oriented synthesis is needed to clarify which telemedical actions are being evaluated, what device categories enable them, what clinical utilities are reported, and which implementation barriers recur across studies. To map device-enabled telemedicine in prehospital trauma by linking telemedical actions, enabling device categories, reported clinical utilities, and implementation barrier domains. We conducted a scoping review following the Arksey and O’Malley framework and PRISMA-ScR reporting guidance. Four databases were searched for peer-reviewed primary studies published from 1 January 2010 to 1 July 2025. Eligible studies evaluated prehospital trauma workflows in which a device-enabled telemedical function informed triage, diagnosis, monitoring, or treatment decisions. Using inductive content analysis, we mapped included studies to a four-layer framework of telemedical actions, device categories, clinical utilities, and implementation barriers. Twenty-two studies were included. Most evaluations were simulation-based (15/22, 68.2%). Within the retrieved evidence base, most explicitly described telemedical workflows were synchronous (20/22, 90.9%), whereas asynchronous and hybrid functions were less frequently represented. Telemedical actions clustered around remote consultation and telementoring, remote image acquisition with remote interpretation, algorithm-supported triage, and remote physiological monitoring. Reported utilities most often aligned with diagnostic and triage impact and with system coordination and access. Common and overlapping barriers included evidence maturity gaps, connectivity and technical robustness, usability and training burden, governance and system readiness, and operational context constraints. The evidence base for prehospital trauma telemedicine remains early-stage and is dominated by simulation studies, with limited implementation-ready evaluation. An action-oriented evidence map clarifies the telemedical pathways most often studied and the recurrent barriers to translation, suggesting that future progress will depend on real-world evaluations of workflow resilience and implementation readiness rather than device capability alone.

Indexed as

Emergency Medical ServicesTelemedicineWounds and InjuriesDigital HealthHumansTriageWorkflowEMS (Emergency Medical Services)Evidence mappingPrehospital careRemote consultationTelemedicineTrauma

Identifiers

What OpenQuestion holds

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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.