Evidence map›Paper›PMID 42610658›Full record

ArticleProceedings (Baylor University. Medical Center)2026

Digital clinical decision support to save costs: a qualitative evaluation of the views of frontline healthcare professionals.

George West, Jonathan Foo, Dragan Ilic, Kieran Walsh

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2026. 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

4 authors.

George WestUCH Rotation, London, UK.
Jonathan FooDepartment of Physiotherapy, Monash University, Australia.
Dragan IlicMedical Education Research & Quality, School of Public Health and Preventive Medicine, Monash University, Australia.
Kieran WalshBMJ, London, UK.ORCID 0000-0003-1268-4676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital clinical decision support (CDS) can improve clinical decision-making, prescribing, diagnostic accuracy, and guideline adherence. Its potential to reduce healthcare costs has received less attention, and the mechanisms by which cost savings might occur remain poorly understood. This study explored resident doctors' experiences of using CDS to improve care and reduce costs.

methodsA qualitative study was carried out. Individual semi-structured interviews were conducted by videoconference with resident doctors who were users of a digital CDS resource. Interviews explored experiences of CDS use, perceptions of cost implications, and barriers and enablers to cost-conscious care. Transcripts were analyzed using constant comparative analysis with open, axial, and selective coding.

resultsTwenty-two resident doctors participated. Four main themes emerged. First, cost savings occurred indirectly through improved clinical decisions, including avoidance of unnecessary investigations, referrals, overtreatment, and inappropriate admissions. Second, workflow integration was central to achieving these outcomes; participants emphasized accessibility and integration with electronic systems. Third, CDS complemented rather than replaced clinical expertise, acting as an adjunct to decision-making. Fourth, organizational culture shaped adoption. DISCUSSION: Resident doctors viewed CDS primarily as a means of improving care rather than reducing costs. Cost savings were perceived as secondary benefits arising from better clinical decisions.

Indexed as

Attitude of Health PersonnelCost SavingsDecision Support Systems, ClinicalClinical Decision-MakingDigital HealthHealth Care CostsHumansMaleQualitative ResearchClinical decision supportcostsfrontline healthcare professionals

Identifiers

PMID42610658
PMCPMC13682234

What OpenQuestion holds

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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.