Evidence map›Paper›PMID 38205033›Full record

ArticleDigital health

Toward telemedical diagnostics-clinical evaluation of a robotic examination system for emergency patients.

Maximilian Berlet, Jonas Fuchtmann, Roman Krumpholz, Abdeldjallil Naceri, Daniela Macari, Christoph Jähne-Schon, Sami Haddadin, Helmut Friess, Hubertus Feussner, Dirk Wilhelm

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Maximilian BerletDepartment of Surgery, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-4652-0904
Jonas FuchtmannMITI Research Group, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Roman KrumpholzMITI Research Group, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Abdeldjallil NaceriMunich Institute of Robotics and Machine Intelligence, Technical University of Munich, Munich, Germany.
Daniela MacariFranka Emika GmbH, Munich, Germany.
Christoph Jähne-SchonFranka Emika GmbH, Munich, Germany.
Sami HaddadinMunich Institute of Robotics and Machine Intelligence, Technical University of Munich, Munich, Germany.
Helmut FriessDepartment of Surgery, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Hubertus FeussnerDepartment of Surgery, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Dirk WilhelmDepartment of Surgery, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The SARS-CoV-2 pandemic has affected global public healthcare for several years. Numerous medical professionals have been infected since the outbreak in 2019, resulting in a shortage of healthcare providers. Since traditional personal protective wear was insufficient to eliminate the virus transmission reliably, new strategies to avoid cross-infection were imperative while enabling high-quality medical care. In the project ProteCT, we investigated the potential of robotic-assisted examination in providing medical examination via a telemedical approach. Material and Methods: We constructed a fully functional examination cabin equipped with cameras, microphones, screens and robotic arms to evaluate usability and perception. Therefore, we conducted a preliminary study with 10 healthy volunteers and 10 physicians to gain first insights and optimize the setup. In a second step, we performed telemedical examinations of actual patients from the local emergency department to compare the robotic approach with the classical method of measuring vital signs, auscultation, palpation and percussion. Results: The preliminary study identified basic requirements, such as the need for force-feedback and telemedical training for physicians. In the main study, acceptance was high and most patients indicated they would use a telemedical system again. Our setup enabled the physician to make the same diagnoses as by classic examination in the emergency department in most cases. Discussion: The potential acceptance of a telemedical system such as ProteCT is high. Robotic telemedical approaches could complement future healthcare beyond the Corona pandemic to reach rural areas or even war zones. Moreover, the daily clinical use of robotic telemedicine could improve patients' safety, the quality of perioperative management and the workflow in any medical facility. Conclusion: The development of telemedical and telerobotic systems is a multidisciplinary and complex challenge. However, acceptance of the proposed system was high among patients and physicians, indicating the potential use of similar systems for future healthcare.

Indexed as

clinical examinationcoronavirusemergency roomfuture healthcareroboticstelemedicine

Identifiers

PMID38205033
PMCPMC10777806

What OpenQuestion holds

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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.