Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Nursing in Low-income Settings: Readiness Criteria
0
Zitationen
2
Autoren
2025
Jahr
Abstract
In this paper, we explore required criteria for low-income countries to exploit the potential of AI in nursing. We had dubbed this as “Readiness Criteria”. Generative artificial intelligence tools summarize data into text for expedited information-gathering and content creation. They are gaining use in clinical settings to help nursing staff improve productivity. There are knowledge gaps between experts in AI and nursing professionals. Bridging such gaps, will be the starting point for appropriately applying AI in nursing. As use of AI in nursing becomes prominent, appropriate risk mitigation measures need to be put in place, including, appropriate risk governance frameworks and tools to manage AI driven nursing practices. Most important, low resource settings need to put in place readiness criteria to support them to enjoy the fruits of AI in nursing. Such readiness criteria include having in place data governance frameworks, addressing knowledge gaps, and investing in public data infrastructure.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.324 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.189 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.588 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.470 Zit.