Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Are You Leading an Artificial Intelligence-Capable Healthcare Organization?
0
Zitationen
1
Autoren
2025
Jahr
Abstract
Health leaders are increasingly embracing Artificial Intelligence (AI) to enhance patient care, streamline operations, and support healthcare providers. But are they truly leading an AI-capable organization-one that can harness AI's full potential and long-term value while mitigating its risks? An AI-capable organization possesses the necessary infrastructure, governance, technical expertise, and cultural mindset to effectively develop, deploy, and manage AI systems. It ensures the safe, ethical, and strategic use of AI across its operations, aligning AI adoption with organizational priorities. This article outlines the essential components of an AI-capable organization, provides a framework for assessing AI maturity, and introduces a risk-proportionate approach to building an AI tool pipeline for healthcare delivery. We explore key leadership considerations, including the decision to build or buy AI solutions, and conclude with special considerations, including the rise of Bring Your Own AI and its implications for governance and oversight.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.316 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.177 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.575 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 · 5.468 Zit.