Evidence map›Paper›PMID 35617009›Full record

ArticleJMIR formative research2022

Emergency Telemedicine Mobile Ultrasounds Using a 5G-Enabled Application: Development and Usability Study.

Maximilian Berlet, Thomas Vogel, Mohamed Gharba, Joseph Eichinger, Egon Schulz, Helmut Friess, Dirk Wilhelm, Daniel Ostler, Michael Kranzfelder

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. 5G Key Technologies for Helicopter Aviation Medical Rescue.Journal of medical Internet research · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
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.

Maximilian BerletDepartment of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-4652-0904
Thomas VogelDepartment of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-6389-9090
Mohamed GharbaGerman Research Center, Munich Office, Huawei Technologies Düsseldorf GmbH, Munich, Germany.ORCID https://orcid.org/0000-0002-7045-7896
Joseph EichingerGerman Research Center, Munich Office, Huawei Technologies Düsseldorf GmbH, Munich, Germany.ORCID https://orcid.org/0000-0003-2422-5020
Egon SchulzGerman Research Center, Munich Office, Huawei Technologies Düsseldorf GmbH, Munich, Germany.ORCID https://orcid.org/0000-0002-2208-8336
Helmut FriessDepartment of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-6029-5857
Dirk WilhelmDepartment of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-2972-9802
Daniel OstlerResearchgroup Minimally-Invasive Therapy and Intervention, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-2949-7279
Michael KranzfelderDepartment of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-6474-0759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigitalization affects almost every aspect of modern daily life, including a growing number of health care services along with telemedicine applications. Fifth-generation (5G) mobile communication technology has the potential to meet the requirements for this digitalized future with high bandwidths (10 GB/s), low latency (<1 ms), and high quality of service, enabling wireless real-time data transmission in telemedical emergency health care applications.

objectiveThe aim of this study is the development and clinical evaluation of a 5G usability test framework enabling preclinical diagnostics with mobile ultrasound using 5G network technology.

methodsA bidirectional audio-video data transmission between the ambulance car and hospital was established, combining both 5G-radio and -core network parts. Besides technical performance evaluations, a medical assessment of transferred ultrasound image quality and transmission latency was examined.

resultsTelemedical and clinical application properties of the ultrasound probe were rated 1 (very good) to 2 (good; on a 6 -point Likert scale rated by 20 survey participants). The 5G field test revealed an average end-to-end round trip latency of 10 milliseconds. The measured average throughput for the ultrasound image traffic was 4 Mbps and for the video stream 12 Mbps. Traffic saturation revealed a lower video quality and a slower video stream. Without core slicing, the throughput for the video application was reduced to 8 Mbps. The deployment of core network slicing facilitated quality and latency recovery.

conclusionsBidirectional data transmission between ambulance car and remote hospital site was successfully established through the 5G network, facilitating sending/receiving data and measurements from both applications (ultrasound unit and video streaming). Core slicing was implemented for a better user experience. Clinical evaluation of the telemedical transmission and applicability of the ultrasound probe was consistently positive.

Indexed as

5Gambulancediagnosisdiagnosticdigital healthdigitalized medicinedigital medicineeHealthemergencyemergency carefield testimage qualityimagingmobile ultrasoundslicingtelehealthtelemedicineultrasound

Identifiers

PMID35617009
PMCPMC9185330

What OpenQuestion holds

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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 OpenQuestion graph.