Evidence map›Paper›PMID 40598308›Full record

ArticleBMC nursing2025

Capabilities of computerized decision support systems supporting the nursing process in hospital settings: a scoping review.

Cynthia Abi Khalil, Antoine Saab, Jihane Rahme, Jacques Bouaud, Brigitte Seroussi

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Cynthia Abi KhalilNursing Administration, Lebanese Hospital Geitaoui-UMC, Beirut, Lebanon. cynthiakjammal@outlook.com.ORCID https://orcid.org/0000-0001-9112-628X
Antoine SaabSorbonne Université, Université Sorbonne Paris Nord, INSERM, LIMICS, Paris, F-75006, France.ORCID https://orcid.org/0000-0003-0673-0875
Jihane RahmeNursing Administration, Lebanese Hospital Geitaoui-UMC, Beirut, Lebanon.
Jacques BouaudSorbonne Université, Université Sorbonne Paris Nord, INSERM, LIMICS, Paris, F-75006, France.
Brigitte SeroussiSorbonne Université, Université Sorbonne Paris Nord, INSERM, LIMICS, Paris, F-75006, France.ORCID https://orcid.org/0000-0002-7676-2832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe implementation of the Nursing process (NP) is a complex and cognitively demanding task that can be enhanced by using clinical decision support systems (CDSSs). While some CDSSs assist in the management of patients with specific patient conditions, nursing process clinical decision support systems (NP-CDSSs) are designed to support nursing decisions through all five sequential NP steps: assessment, nursing diagnosis (NDs), planning, intervention, and evaluation. Although an internationally agreed standard for NP-CDSS development (ICS4NP-CDSSs) was published in 2016, outlining recommended design and functional features for NP-CDSSs, current NP-CDSSs show limited compliance with these guidelines.

methodsA PubMed search was conducted to identify NP-CDSSs used in hospital settings and published between January 2013 and February 2024. The objective was to assess how well these systems adhered to ICS4NP-CDSSs including coverage of all NP steps, use of standardized nursing languages (SNLs), and compliance with recommended technical features. The search also examined whether NP-CDSSs had been implemented and evaluated and whether any outcome related to system impact or any nurses' feedback on barriers and facilitators influencing NP-CDSS implementation was documented.

resultsOf the 986 papers retrieved, 35 related to 21 systems met the eligibility criteria. Only seven systems addressed all NP steps, with the evaluation step remaining underdeveloped. Seventeen systems provided NDs based on entered characteristics or risk factors, 15 included automatic linkages between NDs and interventions, but only 10 included linkages to outcomes at the evaluation step. Most retrieved systems used NANDA-I/NANDA, NIC, NOC as SNL. Only four systems reached the post-implementation evaluation phase; none reported patient outcomes analysis, while four collected nursing outcomes. Barriers during implementation included a lack of trust and perceived usefulness to improve daily workflows, limited validation, and missing technical features.

conclusionsNP-CDSS development is still in its infancy. This review identifies a gap between ICS4NP-CDSS best-practice recommendations and their implementation in current NP-CDSSs, which still lack features like full coverage of NP steps and necessary linkages between them. To enhance NP-CDSSs, strategies should focus on reducing documentation burden, providing comprehensive education and support for nurses, and demonstrating the impact of NP-CDSSs through outcome studies.

Indexed as

Clinical decision support systemsHospital settingsNursing processScoping review

Identifiers

PMID40598308
PMCPMC12210972

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.