自动化临床试验：在多中心癌症临床试验中利用电子病历。
The automatic clinical trial: leveraging the electronic medical record in multisite cancer clinical trials.
机构信息
Cancer Research and Biostatistics, 1730 Minor Ave., STE 1900, Seattle, WA 98101, USA.
出版信息
Curr Oncol Rep. 2012 Dec;14(6):502-8. doi: 10.1007/s11912-012-0262-8.
Abstract
Submission of data into clinical trial electronic data capture (EDC) systems currently requires redundant entry of data that already exist in the electronic medical record (EMR). Being able to automatically transfer data from the EMR to the EDC system would save many hours of arduous effort, especially for multisite data-intensive oncology trials. Standardization of the way in which data are stored in and retrieved from the EMR and techniques for mining data from the unstructured narrative will provide opportunities for transferring data from the EMR to the EDC system. As different EMRs proliferate, other technology in the form of data mining or middle-tier applications is certain to provide assistance in this effort.
摘要
目前，将数据提交到临床试验电子数据采集 (EDC) 系统需要重复输入已经存在于电子病历 (EMR) 中的数据。能够自动将数据从 EMR 传输到 EDC 系统将节省数小时的艰苦工作，特别是对于多站点、数据密集型肿瘤学试验。标准化数据在 EMR 中存储和检索的方式以及从非结构化叙述中挖掘数据的技术将为从 EMR 向 EDC 系统传输数据提供机会。随着不同的 EMR 大量涌现，其他形式的数据挖掘或中间层应用程序技术肯定会在这方面提供帮助。
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