ArticleNursing in critical care2025
Exploring intensive care unit nurses' acceptance of clinical decision support systems and use of volumetric pump data: A qualitative description study.
Article in Nursing in critical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Generative AI at the Bedside: An Integrative Review of Applications and Implications in Clinical Nursing Practice.Journal of clinical nursing · 2026Review
- Accuracy of Electronic Medical Records for Quantifying Rates of Sedative and Analgesic Infusions for Acute Disorders of Consciousness in Big Data Research.Neurocritical care · 2026Article
- Accuracy of electronic medical records to quantify rates of sedative and analgesic infusions for acute disorders of consciousness big data research.medRxiv : the preprint server for health sciences · 2025Article
- Exploring intensive care unit nurses' acceptance of clinical decision support systems and use of volumetric pump data: A qualitative description study.Nursing in critical care · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundIntensive care units are well positioned for the rapid development of data-driven clinical decision support systems. However, clinical decision support systems using volumetric pump data are uncommon. This may be explained by the complexity of this data source as well as our limited understanding of the acceptability of clinical decision support systems and volumetric pump data use from nurses' perspectives.
aimTo describe intensive care unit nurses' perceptions regarding (1) the acceptability of developing and implementing novel intensive care technologies (i.e. clinical decision support systems) and (2) the acceptability of using infusion pump data to inquire about intensive care practices and improve the quality of care. STUDY
designA qualitative description study was performed. Semi-structured interviews were conducted between January and March 2024 and involved 10 intensive care nurses from the province of Quebec (Canada).
resultsNurses generally perceived the development and implementation of novel technologies, and the use of pump data, as acceptable. However, the discrepancy between the delays in care computerization and the rapid development of novel technologies with advanced algorithmic capabilities, coupled with nurses' doubts and limited comprehension of data-driven clinical decision support systems, influenced their perspectives. Nurses' appraisal that infusion logs can enhance clinical practices and that logs should align with their documentation motivated their perception that it is acceptable to use this data source.
conclusionsOverall, novel technologies as well as volumetric pump data use were perceived as acceptable. Leveraging novel data processing and computation techniques could lead to the development of more dynamic clinical decision support systems that utilize infusion logs, further improving care delivery. RELEVANCE TO CLINICAL PRACTICE: For clinical decision support systems to be useful for intensive care nurses, alarms must be seamlessly integrated into their workflows. Involving nurses in the technological development process may help ensure the usability of these technologies.
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Registered trials
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