Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Using a Socio‐Technical Strategy to Identify the Use and Implications of Generative Artificial Intelligence Tools on Nursing Education and Practice
3
Zitationen
3
Autoren
2025
Jahr
Abstract
AIM: Use a socio-technical strategy to identify the use and implications of generative artificial intelligence (GenAI) tools on nursing education and practice. DESIGN: Descriptive qualitative study. METHOD: Online interviews with 32 nursing students, faculty and practitioners between February and April 2024. Data were analysed using the Framework Method. RESULTS: 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. CONCLUSION: 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. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: 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. IMPACT: 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. REPORTING METHOD: COREQ. PATIENT OR PUBLIC CONTRIBUTION: This study did not include patient or public involvement in its design, conduct or reporting.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.635 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.543 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.051 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.844 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.