Evidence map›Paper›PMID 41636255›Full record

ArticleJournal of patient safety2026

A Simulation-Based Clinical Systems Testing at the Newly Built LMU University Hospital: Comparison Between In Situ Full-Scale Simulation and Process Simulation.

Selina Kim, Julia Schrader-Reichling, Marc Lazarovici, Benedikt Sandmeyer, Heiko Trentzsch

Abstract readComparative Study
In one paragraph

Article in Journal of patient safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

5 authors.

Selina KimInstitut für Notfallmedizin und Medizinmanagement (INM), LMU University Hospital, LMU Munich, Germany.
Julia Schrader-ReichlingORCID 0009-0007-0980-061
Marc Lazarovici
Benedikt Sandmeyer
Heiko Trentzsch

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBefore opening new clinical facilities, the optimal preparation of health care personnel is essential. A simulation-based clinical systems testing (SbCST) using simulation is a valid instrument for reaching this goal. During SbCST, so-called latent safety threats (LSTs) can be identified that endanger patient safety. LSTs should be addressed before actual patient harm occurs. The aim of this study was to compare the outcomes and the categories of identified LSTs in 2 simulation types of SbCST, in situ full-scale simulation and process simulation.

methodsWe conducted SbCST at the newly built LMU University Hospital using in situ full-scale simulation and process simulation. To evaluate SbCST, we used a pre-session and post-session survey. The participants also mapped the identified LSTs into risk matrices according to their probability of occurrence and their impact on patient safety and staff strain.

resultsIn total, 120 participants were included in the analysis. Regardless of the simulation type, most participants rated the simulation as (very) good and highlighted the usefulness of SbCST before the opening of new clinical facilities. In both simulation types, the majority of the identified LSTs included equipment, followed by team aspects, room layout, and accessibility. Regarding patient safety and staff strain, fewer LSTs were rated as highly severe in full-scale simulation than in process simulation.

conclusionOur study showed that, depending on the construction progress, in situ full-scale and process simulation are both appropriate tools for identifying LSTs and preparing health care professionals to work in new clinical facilities. To support hospital administrators in prioritizing these items, the use of an existing risk management tool is valuable.

Indexed as

Hospitals, UniversityPatient SafetySimulation TrainingComputer SimulationHumansSafety ManagementSurveys and Questionnairesfull-scale simulationhealth carehealth care simulationin situ simulationpatient safetyprocess simulationrisk managementsimulationsimulation-based clinical systems testing

Identifiers

PMID41636255
PMCPMC13277720

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.