Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Navigating the intersection of clinical and artificial intelligence in nurse practitioner practice
0
Zitationen
3
Autoren
2025
Jahr
Abstract
This reflective commentary is a response to a recent publication in Artificial Intelligence (AI), Computer Science, and Robotics Technology, which evaluated ChatGPT's performance on nurse practitioner (NP) certification examination questions. The provocative framing questioning whether AI nurse practitioners may become a reality prompted this critical reflection on what truly defines NP expertise, particularly in an era of expanding AI capabilities. Our response challenges the notion that correct examination answers alone constitute clinical readiness and instead highlights the depth of contextual judgment, human connection, and advanced clinical reasoning-the capability we term clinical intelligence-that nurse practitioners uniquely bring to patient care. Although AI literacy is a growing part of essential NP knowledge, caution is needed around any assertion that large language models like ChatGPT can replicate or replace nursing roles of any kind.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 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 · 5.429 Zit.