ReviewJournal of the American Medical Informatics Association : JAMIA2017
Integrative review of clinical decision support for registered nurses in acute care settings.
Review in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Concept Analysis of Nurses' Clinical Decision Making: Implications for Korea.International journal of environmental research and public health · 2022Pooled it
- Examining Care Planning Efficiency and Clinical Decision Support Adoption in a System Tailoring to Nurses' Graph Literacy: National, Web-Based Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- Conducting a representative national randomized control trial of tailored clinical decision support for nurses remotely: Methods and implications.Contemporary clinical trials · 2022Trial
- AI-powered nursing handoffs: Introducing and evaluating the patient report template.Learning health systems · 2026Article
- Modeling nursing care tasks in simulated emergency scenarios: insights for clinical training and practice.npj health systems · 2026Article
- Clinical Decision Support Systems and Artificial Intelligence in ADHD Assessment and Rehabilitation: Opportunities and Challenges for Technology-Assisted Care.Healthcare (Basel, Switzerland) · 2025Article
- Aggregating Patient Safety and Status Information in the Electronic Health Record to Support Time-Sensitive Mobility Interventions in the Intensive Care Unit: Protocol for the Design and Testing of a Clinical Decision Support Tool.JMIR research protocols · 2025Article
- Disappearing Text as a Clinical Decision Support Layer: A Case Series.Applied clinical informatics · 2025Article
- Capabilities of computerized decision support systems supporting the nursing process in hospital settings: a scoping review.BMC nursing · 2025Article
- Nursing informatics and patient safety outcomes in critical care settings: a systematic review.BMC nursing · 2025Article
- Perspectives of Clients and Health Care Professionals on the Opportunities for Digital Health Interventions in Cerebrovascular Disease Care: Qualitative Descriptive Study.Journal of medical Internet research · 2024Article
- Designing the User Interface of a Nitroglycerin Dose Titration Decision Support System: User-Centered Design Study.Applied clinical informatics · 2024Article
- Inpatient nurses' preferences and decisions with risk information visualization.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Clinical Decision Support Systems for Palliative Care Management: A Scoping Review.Journal of pain and symptom management · 2023Article
- Nursing Informatics' Contribution to One Health.Yearbook of medical informatics · 2023Article
- Physical health attitude scale among mental health nurses in Taiwan: Validation and a cross-sectional study.Heliyon · 2023Article
- Article
- Supporting Decision-Making About Patient Mobility in the Intensive Care Unit Nurse Work Environment: Work Domain Analysis.JMIR nursing · 2022Article
- Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation.JMIR human factors · 2022Article
- Stakeholder Perspectives on Clinical Decision Support Tools to Inform Clinical Artificial Intelligence Implementation: Protocol for a Framework Synthesis for Qualitative Evidence.JMIR research protocols · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Objective: To report on the state of the science of clinical decision support (CDS) for hospital bedside nurses. Materials and Methods: We performed an integrative review of qualitative and quantitative peer-reviewed original research studies using a structured search of PubMed, Embase, Cumulative Index to Nursing and Applied Health Literature (CINAHL), Scopus, Web of Science, and IEEE Xplore (Institute of Electrical and Electronics Engineers Xplore Digital Library). We included articles that reported on CDS targeting bedside nurses and excluded in stages based on rules for titles, abstracts, and full articles. We extracted research design and methods, CDS purpose, electronic health record integration, usability, and process and patient outcomes. Results: Our search yielded 3157 articles. After removing duplicates and applying exclusion rules, 28 articles met the inclusion criteria. The majority of studies were single-site, descriptive or qualitative (43%) or quasi-experimental (36%). There was only 1 randomized controlled trial. The purpose of most CDS was to support diagnostic decision-making (36%), guideline adherence (32%), medication management (29%), and situational awareness (25%). All the studies that included process outcomes (7) and usability outcomes (4) and also had analytic procedures to detect changes in outcomes demonstrated statistically significant improvements. Three of 4 studies that included patient outcomes and also had analytic procedures to detect change showed statistically significant improvements. No negative effects of CDS were found on process, usability, or patient outcomes. Discussion and Conclusions: Clinical support systems targeting bedside nurses have positive effects on outcomes and hold promise for improving care quality; however, this research is lagging behind studies of CDS targeting medical decision-making in both volume and level of evidence.
Indexed as
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What OpenQuestion holds
Registered trials
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.