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The use of technology to support nurses' decision-making is increasing in response to growing healthcare demands. AI, a global trend, holds great potential to enhance nurses' daily work if implemented systematically, paving the way for a promising future in healthcare.
To identify and describe AI technologies for nurses' clinical decision-making in healthcare settings.
A systematic literature review.
CINAHL, PubMed, Scopus, ProQuest, and Medic were searched for studies with experimental design published between 2005 and 2024.
JBI guidelines guided the review. At least two researchers independently assessed the eligibility of the studies based on title, abstract, and full text, as well as the methodological quality of the studies. Narrative analysis of the study findings was performed.
Eight studies showed AI tools improved decision-making, patient care, and staff performance. A discharge support system reduced 30-day readmissions from 22.2% to 9.4% (p = 0.015); a deterioration algorithm cut time to contact senior staff (p = 0.040) and order tests (p = 0.049). Neonatal resuscitation accuracy rose to 94%–95% versus 55%–80% (p < 0.001); seizure assessment confidence improved (p = 0.01); pressure ulcer prevention (p = 0.002) and visual differentiation (p < 0.001) improved. Documentation quality increased (p < 0.001).
AI integration in nursing has the potential to optimise decision-making, improve patient care quality, and enhance workflow efficiency. Ethical considerations must address transparency, bias mitigation, data privacy, and accountability in AI-driven decisions, ensuring patient safety and trust while supporting equitable, evidence-based care delivery.
The findings underline the transformative role of AI in addressing pressing nursing challenges such as staffing shortages, workload management, and error reduction. By supporting clinical decision-making and workflow efficiency, AI can enhance patient safety, care quality, and nurses' capacity to focus on direct patient care. A stronger emphasis on research and implementation will help bridge usability and scalability gaps, ensuring sustainable integration of AI across diverse healthcare settings.
To evaluate the effectiveness of multidisciplinary transitional care interventions on functional status, quality of life and readmission rates of stroke patients.
Quantitative systematic review and meta-analysis.
Studies with interventions to ease the hospital-to-home transition of stroke patients that were delivered by multidisciplinary teams consisting of registered healthcare professionals from at least two disciplines were included. Cochrane Risk of Bias tool was used for quality appraisal.
Seven electronic databases (PubMed, Embase, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, PsycINFO, Scopus and Web of Science) were searched for randomised controlled trials delivering transitional care interventions to hospitalised stroke patients.
Thirty-one randomised controlled trials were included in the final review. The studies featured multidisciplinary teams of two to nine professionals, most commonly nurses, physicians and physiotherapists. Although multidisciplinary care improved functional status and quality of life scores, the impact on readmission rates was inconclusive. Meta-analysis revealed significant improvements in functional status when care involved physicians, care coordinators (often nurses) or had teams of more than two healthcare professionals. Significant improvement in quality of life was also reported when care involved physicians or in teams with more than two healthcare professionals.
Multidisciplinary transitional care interventions show promise in improving functional status and quality of life after stroke. Their effectiveness depends on team composition and coordination, particularly the inclusion of physicians and care coordinators. Future research should address reporting gaps and evaluate broader strategies to reduce hospital readmissions.
Impact (Addressing)
What problem did the study address? ○
The effectiveness of multidisciplinary transitional care interventions for stroke patients.
○Evaluated the role of various healthcare professionals within these teams.
What were the main findings? ○
Multidisciplinary transitional care interventions significantly enhance stroke patients' functional status, especially within the first 3 months.
○Teams with care coordinators (often nurses) and supportive physicians improve functional outcomes, with effective communication being crucial despite underreporting of specific practices.
○Teams comprising of more than two health professionals can significantly improve stroke patients' functional status.
Where and on whom will the research have an impact? ○
Healthcare institutions and providers: The findings can guide healthcare institutions in developing and implementing effective transitional care services for stroke patients.
○Stroke patients: Patients receiving multidisciplinary transitional care are likely to experience enhanced functional recovery and improved ability to perform daily activities.
○Policymakers and researchers: The study highlights the need for more detailed reporting and research on communication practices within multidisciplinary teams and the importance of evaluating underreported outcomes like readmission rates.
Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) checklist.
No Patient or Public Contribution.
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