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<p>Creating an ontology is the essential step in natural language processing (NLP). To improve patient safety in this era of generative AI, it is crucial to develop a standards-driven, ontology-based architecture for patient safety that can seamlessly integrate with health systems, thereby facilitating effective detection and monitoring potentially preventable harms in healthcare. This visionary, whole-system approach to patient safety addresses a significant gap in establishing resilient safety systems within the healthcare sector.</p>

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A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月18日

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  • Zoie Shui-Yee Wong,
  • Yang Gong,
  • Shin Ushiro

摘要

Creating an ontology is the essential step in natural language processing (NLP). To improve patient safety in this era of generative AI, it is crucial to develop a standards-driven, ontology-based architecture for patient safety that can seamlessly integrate with health systems, thereby facilitating effective detection and monitoring potentially preventable harms in healthcare. This visionary, whole-system approach to patient safety addresses a significant gap in establishing resilient safety systems within the healthcare sector.