Evidence map›Paper›PMID 41452905›Full record

ArticlePloS one2025

Clinical decision support system impact on diagnostic imaging appropriateness and value-driven outcomes in a Singapore emergency department: Protocol of a pragmatic controlled before-after study.

Yi Xiang Tay, Shane J Foley, Ronan Killeen, Jeremy C P Wee, Ivan S Y Chua, Marcus E H Ong, Peter Doran, Robert Chun Chen, Lai Peng Chan, May San Mak and 1 more

Abstract read
In one paragraph

Article in PloS one, 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. 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.

Yi Xiang TayRadiography and Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, Dublin, Ireland.ORCID https://orcid.org/0000-0001-8322-1500
Shane J FoleyRadiography and Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, Dublin, Ireland.ORCID https://orcid.org/0000-0002-9478-2802
Ronan KilleenSt Vincent's University Hospital, Dublin, Ireland.
Jeremy C P WeeDepartment of Emergency Medicine, Division of Medicine, Singapore General Hospital, Singapore.
Ivan S Y ChuaDepartment of Emergency Medicine, Division of Medicine, Singapore General Hospital, Singapore.
Marcus E H OngDepartment of Emergency Medicine, Division of Medicine, Singapore General Hospital, Singapore.
Peter DoranClinical Research Centre, School of Medicine, University College Dublin, Belfield, Dublin, Ireland.
Robert Chun ChenDepartment of Neuroradiology, Division of Radiological Sciences, Singapore General Hospital, Singapore.
Lai Peng ChanDepartment of Musculoskeletal Radiology, Division of Radiological Sciences, Singapore General Hospital, Singapore.
May San MakDepartment of Musculoskeletal Radiology, Division of Radiological Sciences, Singapore General Hospital, Singapore.
Jonathan P McNultyRadiography and Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, Dublin, Ireland.ORCID https://orcid.org/0000-0002-1365-8747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern medicine relies heavily on diagnostic imaging because of its beneficial role in the healthcare chain. Imaging rates are increasing globally and are expected to continue to rise in the future. In tandem with this phenomenon is the increase in inappropriate imaging that adversely affects the provision of healthcare and increases the risks to patients. To date, effective interventions to reduce inappropriate imaging have shown conflicting results due to various underlying implementation designs and strategies. The aim of this controlled before-after study is to assess the impact of a clinical decision support system (CDSS) on appropriateness rates of X-ray cervical and lumbar spine in the emergency department (ED) compared to the existing practice without one, while also exploring associated outcomes. In this study, a CDSS will be carried out using implementation science principles to enhance evidence uptake with institutional medical board-approved imaging referral guidelines embedded. Recruited ED physicians will be allocated into control and intervention groups. The control group will continue the routine practice of "do nothing" for four months, while the intervention group will have a two-month CDSS intervention after an initial two-month routine practice of "do nothing". The difference between the baseline and post-implementation appropriateness rate of imaging will be compared. This study will also evaluate the impact of CDSS on clinical effectiveness, cost avoidance, radiation doses, and sustainability. Findings from this before-after study will provide a rigorous, pragmatic test of the impact and effect of radiological CDSS as an evidence-based intervention to reduce inappropriate imaging in the ED.

Indexed as

Decision Support Systems, ClinicalDiagnostic ImagingEmergency Service, HospitalControlled Before-After StudiesHumansSingapore

Identifiers

PMID41452905
PMCPMC12742750

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.