A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient
Zoie Shui-Yee Wong1,2,3,4, Yang Gong5, Shin Ushiro6,7
1Graduate School of Public Health, St. Luke's International University, Tokyo, Japan. zoiesywong@gmail.com.
Abstract:
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.
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