Integrating Data from EHRs to Enhance Clinical Decision Making: The Inflammatory Bowel Disease Case

Mohamed Abouzahra, K. Sartipi, D. Armstrong, Joseph K. Tan
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引用次数: 9

Abstract

Recent years have witnessed a constant growth of using electronic health records resulting in the availability of enormous amounts of patient information. Clinicians are unable to use this information effectively because of the lack of interoperability and standardization between systems as well as the overwhelming amount of irrelevant information. In this study, we propose a framework to support clinicians decision making by integrating data from different EHR systems in a common data warehouse and applying data mining techniques to retrieve useful knowledge from patients data. This knowledge is then integrated with clinical guidelines in clinical decision support systems to facilitate decision making. Our framework will enhance the use of patients data in decision making and to encourage the use of clinical guidelines and evidence based medicine.
整合电子病历数据以增强临床决策:炎症性肠病病例
近年来,电子健康记录的使用不断增长,导致大量患者信息的可用性。由于系统之间缺乏互操作性和标准化,以及大量无关信息,临床医生无法有效地使用这些信息。在这项研究中,我们提出了一个框架,通过将来自不同电子病历系统的数据整合到一个公共数据仓库中,并应用数据挖掘技术从患者数据中检索有用的知识,来支持临床医生的决策。然后将这些知识与临床决策支持系统中的临床指南相结合,以促进决策。我们的框架将加强在决策中使用患者数据,并鼓励使用临床指南和循证医学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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