Evidence map›Paper›PMID 29546445›Full record

ReviewDer Unfallchirurg2018

[Team training and assessment in mixed reality-based simulated operating room : Current state of research in the field of simulation in spine surgery exemplified by the ATMEOS project].

P Stefan, M Pfandler, P Wucherer, S Habert, J Fürmetz, S Weidert, E Euler, U Eck, M Lazarovici, M Weigl and 1 more

Abstract readReviewVideo-Audio Media
PubMed Publisher
In one paragraph

Review in Der Unfallchirurg, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Emerging Technologies within Spine Surgery.Life (Basel, Switzerland) · 2023
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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

11 authors at 2 institutions in 1 country.

P StefanLehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland. philipp.stefan@tum.de.
M PfandlerInstitut und Poliklinik für Arbeits‑, Sozial- und Umweltmedizin, Klinikum der Universität München, München, Deutschland.
P WuchererLehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland.
S HabertLehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland.
J FürmetzKlinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, Klinikum der Universität München, München, Deutschland.
S WeidertKlinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, Klinikum der Universität München, München, Deutschland.
E EulerKlinik für Allgemeine, Unfall- und Wiederherstellungschirurgie, Klinikum der Universität München, München, Deutschland.
U EckLehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland.
M LazaroviciInstitut für Notfallmedizin und Medizinmanagement, Klinikum der Universität München, München, Deutschland.
M WeiglInstitut und Poliklinik für Arbeits‑, Sozial- und Umweltmedizin, Klinikum der Universität München, München, Deutschland.
N NavabLehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality, Institut für Informatik/I‑16, Technische Universität München, Boltzmannstr. 3, 85748, Garching b. München, Deutschland.
LMU Klinikum · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical simulators are being increasingly used as an attractive alternative to clinical training in addition to conventional animal models and human specimens. Typically, surgical simulation technology is designed for the purpose of teaching technical surgical skills (so-called task trainers). Simulator training in surgery is therefore in general limited to the individual training of the surgeon and disregards the participation of the rest of the surgical team. The objective of the project Assessment and Training of Medical Experts based on Objective Standards (ATMEOS) is to develop an immersive simulated operating room environment that enables the training and assessment of multidisciplinary surgical teams under various conditions. Using a mixed reality approach, a synthetic patient model, real surgical instruments and radiation-free virtual X‑ray imaging are combined into a simulation of spinal surgery. In previous research studies, the concept was evaluated in terms of realism, plausibility and immersiveness. In the current research, assessment measurements for technical and non-technical skills are developed and evaluated. The aim is to observe multidisciplinary surgical teams in the simulated operating room during minimally invasive spinal surgery and objectively assess the performance of the individual team members and the entire team. Moreover, the effectiveness of training methods and surgical techniques or success critical factors, e. g. management of crisis situations, can be captured and objectively assessed in the controlled environment.

Indexed as

Computer SimulationOperating RoomsPatient Care TeamBiomedical ResearchInservice TrainingMinimally Invasive Surgical ProceduresSpinal DiseasesSurgery, Computer-AssistedUser-Computer InterfaceClinical competenceEducational measurementEducation, medicalMultidisciplinary operating room teamSkills

Identifiers

PMID29546445
OpenAlexW2793978109

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.