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Use a socio-technical strategy to identify the use and implications of generative artificial intelligence (GenAI) tools on nursing education and practice.
Descriptive qualitative study.
Online interviews with 32 nursing students, faculty and practitioners between February and April 2024. Data were analysed using the Framework Method.
Theme 1 described participants' use of eight GenAI tools across seven use cases. Theme 2 describes the implications of using GenAI tools on nursing education. The subthemes include (2.1) facing a new pedagogical reality, (2.2) negative sentiments on using GenAI tools in nursing education and (2.3) opportunities to improve nursing education with GenAI tools. Theme 3 describes the implications of using GenAI tools on nursing practice. Subthemes include (3.1) embedding in patient care, (3.2) nursing workflow integration and (3.3) organisational support. Theme 4 describes GenAI capacity-building. Subthemes include (4.1) to develop an AI-ready workforce, (4.2) to promote responsible and ethical use and (4.3) to advance the nursing profession.
Although GenAI tools initially disrupted nursing education, it is only a matter of time before they disrupt nursing practice. Nurses across education and practice settings should be trained in the responsible and ethical use of GenAI tools to mitigate risks and maximise benefits.
GenAI tools will profoundly impact how nurses of today and tomorrow learn and practice the profession. It is crucial for nurses to actively participate in shaping this technology to minimise risks and maximise benefits to the nursing profession and patient care.
This study revealed the socio-technical intricacies of using GenAI tools in nursing education and practice. We also present wicked problems that nurses will face when using GenAI tools.
COREQ.
This study did not include patient or public involvement in its design, conduct or reporting.
The objective of this scoping review is to elucidate contexts in which Flexible Assertive Community Treatment (FACT) has been utilised, which populations it has served, how it has been adapted and what outcomes it has achieved. FACT is a model of mental healthcare where patients are transitioned along a continuum of high-intensity outreach-based treatment and lower-intensity case management, according to need. Despite being adopted globally, a review of the evidence on the FACT model has not been conducted since 2014.
This study will follow the Joanna Briggs Institute’s (JBI) methodology for scoping reviews and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. A structured search of several electronic databases (MedLine, CINAHL, PsycINFO, Psychology & Behavioural Sciences, Embase, Scopus, Sociological Abstracts and ASSIA Social Sciences Index Abstracts) will be conducted to locate relevant studies addressing models of care that adhere to the core components of the FACT model and that were published in English or Dutch from 2003 (model conception date) to the present day. To explore the range of populations served by FACT, we will not limit participant populations by age or diagnosis. With respect to FACT adaptations, we will include articles that explore modifications to the structure of FACT such as staffing complement, caseloads or interface with other health and social services. Articles identified from our structured searches will be screened independently by two reviewers. Data from included articles will be extracted, analysed and presented on tables and visual graphs, and summarised in a narrative report.
Our scoping review does not require ethics approval as it does not involve human subjects and will draw evidence from published peer-reviewed articles. Our findings will be disseminated through journal publication, presentations at relevant conferences and distribution across our networks and those of our partners, including healthcare providers, researchers and other key stakeholders.
FreshRSS 