Suppr超能文献

电子健康记录系统相关的患者安全事件——如何对其进行分类?

Electronic Health Record System-Related Patient Safety Incidents - How to Classify Them?

作者信息

Palojoki Sari, Vuokko Riikka, Vakkuri Anne, Saranto Kaija

机构信息

The Ministry of Social Affairs and Health, Finland.

Helsinki University Hospital (HUS), Peijas Hospital, Finland.

出版信息

Stud Health Technol Inform. 2020 Nov 23;275:157-161. doi: 10.3233/SHTI200714.

Abstract

The implementation of electronic health record systems (EHRs) may cause multidimensional patient safety issues that deserve research attention. Our research aims to identify the current body of evidence on EHRs-related incident types and how incidents are classified in these studies. A literature search resulted in 44 peer-reviewed papers and six papers were included in the final analysis. The error types do not concern solely the technological features of the EHRs but may involve also non-technical aspects. Our review indicates that standard classification systems would facilitate comparisons across countries. To achieve the goal, more research evidence, testing and development of classifications are required.

摘要

电子健康记录系统(EHRs)的实施可能会引发多维度的患者安全问题,值得研究关注。我们的研究旨在确定目前关于EHRs相关事件类型的证据主体,以及这些研究中事件是如何分类的。文献检索得到了44篇同行评审论文,最终分析纳入了6篇论文。错误类型不仅涉及EHRs的技术特征,还可能涉及非技术方面。我们的综述表明,标准分类系统将有助于跨国比较。为实现这一目标,需要更多的研究证据、分类测试和开发。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验