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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 (1) examine the attitudes of community-dwelling adults towards death and their ability to cope with death, as well as (2) understand the influence of advance care planning on community-dwelling adults' death attitudes and coping with death.
A sequential explanatory mixed-methods study was conducted in Singapore.
In Phase I, a case–control study was conducted to examine the differences in death attitudes and coping with death ability between community-dwelling adults who have completed advance care planning and those who have not. A univariate general linear model was used to compute the mean difference in death attitudes and coping with death scores. In Phase II, a descriptive qualitative study was conducted to provide an in-depth understanding of the influence of advance care planning among community-dwelling adults. Thematic analysis was used for qualitative analysis. Mixed-methods analysis was conducted to integrate the quantitative and qualitative data.
In Phase I, 80 community-dwelling adults who had completed advance care planning and 81 community-dwelling adults who did not have advance care planning were included. Adults who had completed advance care planning had significantly higher coping with death scores (t = 4.14, p < 0.01). In Phase II, a purposive sample of 24 adults who had completed advance care planning was selected for individual semi-structured interviews. From the thematic analysis, three themes were developed: (1) Advance care planning enables coping with death, (2) overcoming fear of death with advance care planning and (3) confronting death with advance care planning.
Advance care planning may influence death attitudes and coping with death. Further work on longitudinal designs and among individuals from different age groups should be used to gain further in-depth understanding of the impacts of advance care planning.
Strategies to enhance one's coping abilities with death and death attitudes should be developed to stimulate the uptake of advance care planning.
This paper was reported according to the Good Reporting of A Mixed Methods Study framework.
Community-dwelling adults participated in the survey and interviews.
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