A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety
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 fac...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01442-3 |
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| _version_ | 1832594397822189568 |
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| author | Zoie Shui-Yee Wong Yang Gong Shin Ushiro |
| author_facet | Zoie Shui-Yee Wong Yang Gong Shin Ushiro |
| author_sort | Zoie Shui-Yee Wong |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3bf0d8233b564c1c839267888ff90237 |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-3bf0d8233b564c1c839267888ff902372025-01-19T12:39:42ZengNature Portfolionpj Digital Medicine2398-63522025-01-01811710.1038/s41746-025-01442-3A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safetyZoie Shui-Yee Wong0Yang Gong1Shin Ushiro2Graduate School of Public Health, St. Luke’s International UniversityMcWilliams School of Biomedical Informatics, the University of Texas Health Science Center at HoustonSchool of Medicine, Kyushu UniversityAbstract 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.https://doi.org/10.1038/s41746-025-01442-3 |
| spellingShingle | Zoie Shui-Yee Wong Yang Gong Shin Ushiro A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety npj Digital Medicine |
| title | A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety |
| title_full | A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety |
| title_fullStr | A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety |
| title_full_unstemmed | A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety |
| title_short | A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety |
| title_sort | pathway from fragmentation to interoperability through standards based enterprise architecture to enhance patient safety |
| url | https://doi.org/10.1038/s41746-025-01442-3 |
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