Liang Chen, Gong Yang
School of Biomedical Informatics, University of Texas Health Science Center at Houston, TX, USA.
Stud Health Technol Inform. 2015;216:202-6.
Over the past decade, improving healthcare quality and safety through patient safety event reporting systems has drawn much attention. Unfortunately, such systems are suffering from low data quality, inefficient data entry and ineffective information retrieval. For improving the systems, we develop a semantic web ontology based on the WHO International Classification for Patient Safety (ICPS) and AHRQ Common Formats for patient safety event reporting. The ontology holds potential in enhancing knowledge management and information retrieval, as well as providing flexible data entry and case analysis for both reporters and reviewers of patient safety events. In this paper, we detailed our efforts in data acquisition, transformation, implementation and initial evaluation of the ontology.
在过去十年中,通过患者安全事件报告系统提高医疗质量和安全性受到了广泛关注。不幸的是,此类系统存在数据质量低、数据录入效率低和信息检索无效的问题。为了改进这些系统,我们基于世界卫生组织国际患者安全分类(ICPS)和美国医疗保健研究与质量局(AHRQ)患者安全事件报告通用格式开发了一个语义网本体。该本体在加强知识管理和信息检索方面具有潜力,同时为患者安全事件的报告者和审核者提供灵活的数据录入和案例分析。在本文中,我们详细阐述了在本体的数据获取、转换、实施和初步评估方面所做的工作。