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.
Nurses are pivotal in EBHC implementation; however, its adoption remains limited, highlighting the need to investigate nurses' experiences and perceptions of their EBHC competence.
To critically appraise and synthesise qualitative evidence of nurses' experiences and perceptions of EBHC competence.
A qualitative systematic review.
The review followed the JBI methodology for qualitative systematic reviews. Inclusion criteria were qualitative studies published in Finnish, Swedish or English that explored nurses' experiences and perceptions of EBHC competence. Data were synthesised using JBI's meta-aggregation method and the findings were graded with the ConQual approach.
CINAHL, Medic, PubMed, Scopus and grey literature from EBSCO Open Dissertations and MedNar, searched in December 2023.
Seventeen qualitative studies were included. The study findings were generated from four synthesised findings with low confidence scores. The synthesised findings were: (1) Nurses' competence in Global Health, (2) Nurses' competence in enhancing Evidence generation, (3) Nurses' competence in optimising Evidence Transfer and (4) Nurses' competence in effective implementation of evidence. A new finding of this systematic review was that nurses did not express their experiences or perceptions on evidence synthesis.
Nurses' experiences of EBHC competence focus mainly on evidence implementation and global health. The lack of findings to evidence synthesis suggests that core principles of the EBHC model are not yet fully embedded in nursing practice. Nurses emphasised the need for greater support for developing EBHC competence.
Integration of EBHC into education, mentoring and adequate resources enhances nurses' competence, motivation and commitment to EBHC sub-dimensions, while also strengthening their professional confidence and development.
Strengthening nurses' EBHC competencies contributes to supporting the delivery of high-quality, effective and sustainable healthcare services.
PRISMA guidelines followed.
None.
PROSPERO-registered: CRD42021285179
This study aimed to describe the types of psychological and physical symptoms experienced by healthcare professionals who became second victims after a patient safety incident and the impact of the incident on their social and professional lives.
Scoping review.
JBI methodology for scoping reviews and PRISMA-ScR for reporting were followed.
The search was conducted on June 13, 2024, using the CINAHL (EBSCO), Scopus, PubMed (Medline), Medic and PsycInfo (EBSCO) databases. A grey literature search was also conducted.
A total of 96 papers were included. Healthcare professionals experienced psychological symptoms such as anger, sadness and guilt after a safety incident. Physical symptoms were reported, including symptoms related to sleep and gastrointestinal symptoms. At the professional and social levels, the incident affected their work, relationships and well-being. Positive impacts were also noted.
This study provides a comprehensive overview of healthcare professionals' experiences after safety incidents. In addition, this study also captured the positive impacts of safety incidents, such as learning from mistakes.
By recognising the symptoms and impacts associated with the second victim syndrome, appropriate support can be provided for healthcare professionals.
The findings of this study can be used to identify the relevant harm to professionals after a safety incident, which could help to improve the well-being of these workers.
No patient or public contribution.
Open Science Framework, https://archive.org/details/osf-registrations-5cdmu-v1
To (1) analyse managers' experiences with handling patient safety incident reports in an incident reporting software, identifying key challenges; (2) analyse the incident report processes from the managers' perspective; (3) examine managers' perceptions of ways to support and improve health professionals' experiences of report-handling processes; and (4) investigate how, from their point of view, incident reporting software should be developed in the future.
A descriptive qualitative study.
Interviews and focus group discussions on Microsoft Teams from 11/2024 to 3/2025, including 16 participants, analysis with deductive and inductive content analysis.
Of 16 participants, 15 were managers and one was a patient safety expert. Most were nurse managers (n = 9). Four discussion themes were divided into 30 categories. Participants highlighted the need to improve the reporting software's terminology, classification and analysis tools. The use of artificial intelligence was desired but not currently integrated into the software. Participants were unsure of their skills to use all the software features. Clear and transparent handling processes, feedback, managers' behaviour and communication methods were seen as key to improving staff's experience with report processes. A real-time warning system was considered beneficial for various incident types. Specific questions must be answered before further developing such systems.
This study deepened the understanding of reporting software's challenges regarding its handling features. The handling processes of incident reports had multiple shortcomings, which may negatively affect health professionals' experiences in report handling. Real-time warning systems could assist healthcare managers in processing reports.
Organisational-level guidance for incident report processing is needed. Improvements to report processing and reporting software can improve shared learning and understanding of the status of patient safety.
No patient or public contribution.
COnsolidated criteria for REporting Qualitative research Checklist.
Asthma is a leading cause of morbidity and healthcare use among children. Risk factors of childhood asthma include atopic predisposition and severe wheezing episodes caused by rhinovirus infection in early life. In children with first-time rhinovirus-induced wheezing, we aim to study the response of a short corticosteroid treatment to prevent recurrent wheezing and asthma.
This is a double-blind, randomised, placebo-controlled, phase IV, international multicentre trial involving eight sites in Norway, Sweden and Finland. Two hundred and eighty 3–23 months old steroid-naïve children are randomised 1:1 to receive oral dexamethasone (0.3 mg/kg/day) versus placebo in 3 days for their first wheezing episode and rhinovirus infection. Rhinovirus is diagnosed with multiplex PCR. The two co-primary outcomes are time to next physician-confirmed wheezing episode, and time to asthma, within 24 months from inclusion. Asthma is defined as fulfilment of the 2007 National Asthma Education and Prevention Program—criteria for initiating asthma controller medication in children aged 0–4 years. Primary interaction analyses are age, gender, atopic predisposition, risk genotypes and viral co-detection. The optimal cut-off on the rhinovirus genome load used to define a true rhinovirus infection will be assessed by exploring interactions between rhinovirus genomic loads and study drug on the co-primary outcomes. Secondary outcomes are number of wheezing episodes, duration and severity of each wheezing episode, bronchial hyperreactivity, quality of life and safety (height/weight development) at 24 months from inclusion.
Rhinovirus positive children with acute wheezing fulfilling inclusion and exclusion criteria are enrolled after informed consent from both caregivers. This trial has received ethical approval from all sites. Results will be submitted to Competent Authorities and disseminated via peer-reviewed publications and conferences within paediatrics and other relevant fields. If proven effective, findings may be implemented directly into paediatric clinical guidelines.
Evidence-based healthcare (EBHC) enables consistent and effective healthcare that prioritises patient safety. The competencies of advanced practice nurses (APNs) are essential for implementing EBHC because their professional duties include promoting EBHC.
To identify, critically appraise, and synthesise the best available evidence concerning the EBHC competence of APNs and associated factors.
A systematic review.
CINAHL, PubMed, Scopus, Medic, ProQuest, and MedNar.
Databases were searched for studies (until 19 September 2023) that examined the EBHC competence and associated factors of APNs were included. Quantitative studies published in English, Swedish and Finnish were included. We followed the JBI methodology for systematic review and performed a narrative synthesis.
The review included 12 quantitative studies, using 15 different instruments, and involved 3163 participants. The quality of the studies was fair. The APNs' EBHC competence areas were categorised into five segments according to the JBI EBHC model. The strongest areas of competencies were in global health as a goal, transferring and implementing evidence, while the weakest were generating and synthesising evidence. Evidence on factors influencing APNs' EBHC competencies was contradictory, but higher levels of education and the presence of an organisational research council may be positively associated with APNs' EBHC competencies.
The development of EBHC competencies for APNs should prioritise evidence generation and synthesis. Elevating the education level of APNs and establishing a Research Council within the organisation can potentially enhance the EBHC competence of APNs.
We should consider weaknesses in EBHC competence when developing education and practical exercises for APNs. This approach will promote the development of APNs' EBHC competence and EBHC implementation in nursing practice.
The review was registered in PROSPERO (CRD42021226578), and reporting followed the PRISMA checklist.
None.