Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.
Institute of Data Science, Faculty of Science and Engineering, Maastricht University, The Netherlands.
Stud Health Technol Inform. 2024 Aug 22;316:1463-1464. doi: 10.3233/SHTI240689.
This paper presents a versatile solution to formally represent the contents of electronic health records. It is based on the knowledge graph paradigm, and semantic web standards RDF and OWL. It employs the established semantic standards SNOMED CT and FHIR, which warrant international interoperability. A graph-based form is not only useful to feed different target visualizations, but it can also be subject to AI-powered services such as (fuzzy) retrieval and summarization.
本文提出了一种通用的解决方案，用于正式表示电子健康记录的内容。它基于知识图范例以及语义 Web 标准 RDF 和 OWL。它采用了既定的语义标准 SNOMED CT 和 FHIR，保证了国际互操作性。基于图的形式不仅有助于提供不同的目标可视化，而且还可以作为人工智能服务（模糊）检索和摘要的基础。
