Khushi Matloob, Carpenter Jane E, Balleine Rosemary L, Clarke Christine L
Breast Cancer Tissue Bank, The University of Sydney at the Westmead Millennium Institute, Darcy Road, Westmead, NSW 2145, Australia.
Cell Tissue Bank. 2012 Mar;13(1):9-13. doi: 10.1007/s10561-011-9240-x. Epub 2011 Feb 18.
Human transcription error is an acknowledged risk when extracting information from paper records for entry into a database. For a tissue bank, it is critical that accurate data are provided to researchers with approved access to tissue bank material. The challenges of tissue bank data collection include manual extraction of data from complex medical reports that are accessed from a number of sources and that differ in style and layout. As a quality assurance measure, the Breast Cancer Tissue Bank (http:\www.abctb.org.au) has implemented an auditing protocol and in order to efficiently execute the process, has developed an open source database plug-in tool (eAuditor) to assist in auditing of data held in our tissue bank database. Using eAuditor, we have identified that human entry errors range from 0.01% when entering donor's clinical follow-up details, to 0.53% when entering pathological details, highlighting the importance of an audit protocol tool such as eAuditor in a tissue bank database. eAuditor was developed and tested on the Caisis open source clinical-research database; however, it can be integrated in other databases where similar functionality is required.
从纸质记录中提取信息录入数据库时，人为转录错误是公认的风险。对于组织库而言，向经批准可获取组织库材料的研究人员提供准确数据至关重要。组织库数据收集面临的挑战包括从众多来源获取的、风格和布局各异的复杂医学报告中手动提取数据。作为一项质量保证措施，乳腺癌组织库（http:\www.abctb.org.au）已实施审核方案，并且为了高效执行该流程，开发了一个开源数据库插件工具（eAuditor），以协助审核我们组织库数据库中保存的数据。使用eAuditor，我们发现人为录入错误率在录入捐赠者临床随访细节时为0.01%，在录入病理细节时为0.53%，这凸显了像eAuditor这样的审核方案工具在组织库数据库中的重要性。eAuditor是在Caisis开源临床研究数据库上开发和测试的；然而，它可集成到需要类似功能的其他数据库中。
