建立基于本体的时态数据库以实现数据重用:医院组织结构应用实例。

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Christina Khnaisser, Vincent Looten, Luc Lavoie, Anita Burgun, Jean-François Ethier
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引用次数: 0

摘要

跟踪数据库中的数据语义和数据变化对于支持回顾性研究和纵向临床分析的可重复性至关重要,可以防止从过时的数据中得出错误的结论。知识模型与时态模型相结合,在组织数据和提高跨时间、跨机构查询表达能力方面发挥着至关重要的作用。本文介绍了一个时态关系数据库建模框架,该框架使用本体论推导出一个可共享、可互操作的数据模型。该框架基于OntoRela 是一种本体驱动的数据库建模方法,而统一历史化框架则是一种时态数据库建模方法。该方法被应用于医院组织结构,以显示跟踪组织变化对数据质量评估、医疗保健活动和数据访问权限的影响。论文展示了本体在提供正式、可互操作和可重复使用的实体及其关系定义方面的实用性,以及时态数据库在存储、跟踪和查询随时间变化的数据方面的充分性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building ontology-based temporal databases for data reuse: An applied example on hospital organizational structures.

Keeping track of data semantics and data changes in the databases is essential to support retrospective studies and the reproducibility of longitudinal clinical analysis by preventing false conclusions from being drawn from outdated data. A knowledge model combined with a temporal model plays an essential role in organizing the data and improving query expressiveness across time and multiple institutions. This paper presents a modelling framework for temporal relational databases using an ontology to derive a shareable and interoperable data model. The framework is based on: OntoRela an ontology-driven database modelling approach and Unified Historicization Framework a temporal database modelling approach. The method was applied to hospital organizational structures to show the impact of tracking organizational changes on data quality assessment, healthcare activities and data access rights. The paper demonstrated the usefulness of an ontology to provide a formal, interoperable, and reusable definition of entities and their relationships, as well as the adequacy of the temporal database to store, trace, and query data over time.

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来源期刊
Health Informatics Journal
Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS
CiteScore
7.80
自引率
6.70%
发文量
80
审稿时长
6 months
期刊介绍: Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.
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