首页> 美国卫生研究院文献>AMIA Annual Symposium Proceedings >Structured vs. Unstructured: Factors Affecting Adverse Drug Reaction Documentation in an EMR Repository
【2h】

Structured vs. Unstructured: Factors Affecting Adverse Drug Reaction Documentation in an EMR Repository

机译:结构化与非结构化:影响EMR存储库中药物不良反应文档的因素

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Adverse reactions to medications to which the patient was known to be intolerant are common. Electronic decision support can prevent them but only if history of adverse reactions to medications is recorded in structured format.We have conducted a retrospective study of 31,531 patients with adverse reactions to statins documented in the notes, as identified with natural language processing. The software identified statin adverse reactions with sensitivity of 86.5% and precision of 91.9%. Only 9020 of these patients had an adverse reaction to a statin recorded in structured format. In multivariable analysis the strongest predictor of structured documentation was utilization of EMR functionality that integrated the medication list with the structured medication adverse reaction repository (odds ratio 48.6, p < 0.0001). Integration of information flow between EMR modules can help improve documentation and potentially prevent adverse drug events.
机译:已知患者不耐受的药物会发生不良反应。电子决策支持可以预防这种情况,但前提是必须以结构化格式记录对药物的不良反应历史。我们进行了一项回顾性研究,对31,531名患者对他汀类药物的不良反应进行了回顾性研究,并通过自然语言处理进行了识别。该软件确定他汀类药物不良反应的敏感性为86.5%,准确度为91.9%。这些患者中只有9020人对以结构形式记录的他汀类药物有不良反应。在多变量分析中,结构化文档的最强预测指标是利用EMR功能,该功能将药物清单与结构化药物不良反应库集成在一起(优势比48.6,p <0.0001)。 EMR模块之间的信息流集成可以帮助改善文档记录并潜在地防止药品不良事件的发生。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号