Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Reclaiming clinical time: The promise and challenges of ambient AI for oncology nurses in the Asia–Pacific region
0
Zitationen
4
Autoren
2025
Jahr
Abstract
The administrative burden in healthcare, particularly documentation-related tasks, poses a critical challenge for oncology nurses in the Asia-Pacific region. This diverts valuable time from direct patient care and contributes significantly to cognitive overload, burnout, and workforce attrition.1-7 Empirical studies from India2,3 and South Korea4,5 highlight the mental health toll on oncology nurses, identifying clinical documentation as a consistent and substantial source of stress.6,7 Addressing this pressing issue demands innovative, evidence-based interventions.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 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 · 5.476 Zit.