Evidence map›Paper›PMID 39774711›Full record

ArticleScientific reports2025

Digitalised multidisciplinary conferences effectively identify and prevent imaging-related medical error in intensive care patients during the COVID-19 pandemic.

Gloria Muench, Denis Witham, Kerstin Rubarth, Elke Zimmermann, Susanne Marz, Damaris Praeger, Viktor Wegener, Jens Nee, Marc Dewey, Julian Pohlan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Gloria MuenchDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. gloria.muench@charite.de.
Denis WithamDepartment of Cardiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Kerstin RubarthInstitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Elke ZimmermannDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Susanne MarzDepartment of Surgery with Intensive Care, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Damaris PraegerDepartment of Cardiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Viktor WegenerDepartment of Anaesthesiology and Operative Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, Berlin, Germany.
Jens NeeDepartment of Nephrology and Intensive Care, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Marc Dewey *Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Julian Pohlan *Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to assess the effectiveness of digital multidisciplinary conferences (MDCs) in preventing imaging-related quality management (QM) events during the coronavirus-disease-19 (COVID-19) pandemic. COVID-19 challenged interdisciplinary exchange and QM measures for patient safety. Regular MDCs between radiologists and intensive care unit (ICU) physicians, introduced in our hospital in 2018, enable re-evaluation of imaging examinations and bilateral feedback. MDC protocols from 2020 to 2021 were analysed regarding imaging-related QM events. Epidemiological data on COVID-19 were matched with MDCs. 333 MDCs including 1324 radiological examinations in 857 patients (median age = 64 (IQR = 55-73) years, 66.7% male) were analysed. MDCs were held within a median of 1 day after imaging (IQR = 1-3). QM events were identified in 2.7% (n = 36/1324) of examinations. This represented a significant decrease compared to a control group from 2018/2019 (QM events identified in 14.0%, p < 0.001). QM incidence remained consistent in the pandemic cohort (regression coefficient estimate = -0.01, 95% confidence interval = [0.000, 0.000], p = 0.68). 81% (n = 29/36) of QM events were report-related, 19% process-related (n = 6/36), and 2.8% indication-related (n = 1/36). In 7.3% (n = 97/1324) of examinations, the patient was affected by COVID-19. With MDCs as an effective feedback mechanism in place, the challenges of the COVID-19 pandemic led to no increase in QM incidence. Notably, COVID status did not impact QM event occurrence.

Indexed as

COVID-19Intensive Care UnitsMedical ErrorsAgedCritical CareDiagnostic ImagingFemaleHumansMaleMiddle AgedPandemicsPatient SafetySARS-CoV-2

Identifiers

PMID39774711
PMCPMC11706938

What OpenQuestion holds

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LicenceCC BY
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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.