Evidence map›Paper›PMID 40419669›Full record

ArticleNPJ digital medicine2025

A systematic review of clinicians' acceptance and use of clinical decision support systems over time.

Nicki Newton, Adeola Bamgboje-Ayodele, Rowena Forsyth, Amina Tariq, Melissa T Baysari

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
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  10. Intelligent Reasoning Cues: A Framework and Case Study of the Roles of AI Information in Complex Decisions.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
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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.

Nicki NewtonDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia. nicki.newton@sydney.edu.au.ORCID http://orcid.org/0000-0002-7015-0982
Adeola Bamgboje-AyodeleDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-5629-1236
Rowena ForsythBiomedical Informatics and Digital Health, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-5597-7263
Amina TariqAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Melissa T BaysariDigital Health Human Factors Research Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0003-1645-9126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing reviews have identified factors influencing Clinical Decision Support (CDS) adoption by clinicians in practice but overlook the dynamic and evolving nature of technology and users' needs over time. This review aimed to identify factors that influence early, mid-term, and sustained acceptance and use of CDS in hospital settings. Five databases were searched from 2007 to January 2024 and 67 papers were included. Factors were extracted and synthesised according to the time that data were collected following CDS implementation. Factors relating to the CDS intervention (e.g. utility) and inner setting (e.g. fit with workflows) were reported across all time periods. Perceived outcomes were more often identified in the first year of use, and individual factors after the first 6 months of use. Strategies to work around CDS limitations were reported 5 years after implementation. Our review provides guidance for developing, implementing, and supporting ongoing use of CDS systems.

Identifiers

PMID40419669
PMCPMC12106704

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.