Evidence map›Paper›PMID 41161729›Full record

Observational studyBMJ health & care informatics2025

Digital tumour board solution enhances case preparation time and reduces postponements: an implementer report.

Katja Brne, Katharina Abraham, Mieke Arnoldus, Kim Romijnders, Špela Uršič Bensa, Jaap Trappenburg

Abstract readObservational Study
In one paragraph

Observational study in BMJ health & care informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Katja Brne *Open Line Vitaly d.o.o, Ljubljana, Slovenia valjaveckatja@gmail.com.ORCID http://orcid.org/0009-0007-4826-2164
Katharina Abraham *The Healthcare Innovation Center (THINC), Julius Center, UMC Utrecht, Utrecht, The Netherlands.
Mieke ArnoldusThe Healthcare Innovation Center (THINC), Julius Center, UMC Utrecht, Utrecht, The Netherlands.
Kim RomijndersJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Špela Uršič BensaOpen Line Vitaly d.o.o, Ljubljana, Slovenia.
Jaap TrappenburgThe Healthcare Innovation Center (THINC), Julius Center, UMC Utrecht, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInefficiencies and high administrative burdens are commonly reported in multidisciplinary tumour boards (TBs). The objective of the study was to evaluate the impact of a digital solution on the common challenges encountered in the urogenital and gynaecology cancer TBs in Central Netherlands.

methodsA single-arm, mixed-methods observational study was conducted over 32 weeks in 2023. Data were collected from surveys and the Vitaly system across baseline and post implementation TB meetings.

resultsThe implementation of Vitaly resulted in a 43% reduction in preparation time for urology TBs and a 44% reduction for gynaecology TBs. Postponement rates decreased by nearly 50% for urology and maintained significantly below the 5% acceptable threshold, for both urology and gynaecology TBs. DISCUSSION AND

conclusionsDespite challenges in data collection due to varied hospital environments, the study showed positive outcomes that underscore the potential benefits of such digital transformation and broader applicability and scalability across various clinical settings.

Indexed as

FemaleHumansNetherlandsTime FactorsAccess to InformationHealth information exchangeMedical InformaticsPatient Care

Identifiers

PMID41161729
PMCPMC12606494

What OpenQuestion holds

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LicenceCC BY-NC
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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.