...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>BMC Medical Informatics and Decision Making >Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse
【24h】

Replicating medication trend studies using ad hoc information extraction in a clinical data warehouse

机译：在临床数据仓库中使用临时信息提取来复制用药趋势研究

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Medication trend studies show the changes of medication over the years and may be replicated using a clinical Data Warehouse (CDW). Even nowadays, a lot of the patient information, like medication data, in the EHR is stored in the format of free text. As the conventional approach of information extraction (IE) demands a high developmental effort, we used ad hoc IE instead. This technique queries information and extracts it on the fly from texts contained in the CDW. We present a generalizable approach of ad hoc IE for pharmacotherapy (medications and their daily dosage) presented in hospital discharge letters. We added import and query features to the CDW system, like error tolerant queries to deal with misspellings and proximity search for the extraction of the daily dosage. During the data integration process in the CDW, negated, historical and non-patient context data are filtered. For the replication studies, we used a drug list grouped by ATC (Anatomical Therapeutic Chemical Classification System) codes as input for queries to the CDW. We achieve an F1 score of 0.983 (precision 0.997, recall 0.970) for extracting medication from discharge letters and an F1 score of 0.974 (precision 0.977, recall 0.972) for extracting the dosage. We replicated three published medical trend studies for hypertension, atrial fibrillation and chronic kidney disease. Overall, 93% of the main findings could be replicated, 68% of sub-findings, and 75% of all findings. One study could be completely replicated with all main and sub-findings. A novel approach for ad hoc IE is presented. It is very suitable for basic medical texts like discharge letters and finding reports. Ad hoc IE is by definition more limited than conventional IE and does not claim to replace it, but it substantially exceeds the search capabilities of many CDWs and it is convenient to conduct replication studies fast and with high quality.
机译：用药趋势研究显示了多年来的用药变化，可以使用临床数据仓库（CDW）进行复制。即使在今天，EHR中的许多患者信息（如药物数据）也以自由文本格式存储。由于传统的信息提取（IE）方法需要大量的开发工作，因此我们改用了临时IE。此技术查询信息并从CDW中包含的文本中即时提取信息。我们在出院信中介绍了用于药物治疗的即席IE的通用方法（药物及其每日剂量）。我们向CDW系统添加了导入和查询功能，例如可处理错误拼写的容错查询和用于提取每日剂量的邻近搜索。在CDW中的数据集成过程中，将过滤否定的，历史的和非患者的上下文数据。对于复制研究，我们使用了按ATC（解剖治疗化学分类系统）代码分组的药物清单，作为对CDW进行查询的输入。从出院信中提取药物，我们的F1得分为0.983（精度为0.997，召回率0.970），而提取剂量的F1得分为0.974（精度为0.977，召回率0.972）。我们针对高血压，心房纤颤和慢性肾脏病复制了三项已发表的医学趋势研究。总体而言，可以重复发现93％的主要发现，68％的子发现和75％的所有发现。一项研究可以完全重复所有主要发现和次要发现。提出了一种用于临时IE的新颖方法。它非常适合诸如出院信和查找报告之类的基本医学文本。从定义上说，即席IE比常规IE受到更多限制，并且不主张取代它，但是它大大超出了许多CDW的搜索能力，并且可以方便快捷地进行高质量的复制研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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