van der Meulen Jan H P, Jacob Mathew, Copley Lynn
Health Services Research Unit, London School of Hygiene and Tropical Medicine, London, UK.
Transplantation. 2003 Jun 27;75(12):2164-7. doi: 10.1097/01.TP.0000080272.48725.8D.
The usefulness of a clinical database depends strongly on the quality of the collected data. Data quality assurance should start with deciding in advance the uses to which the database is going to be put, developing an explicitly defined minimum data set, and setting up a user-friendly interface. The quality of the collected data can be assessed by computer validation, during which computerized range and consistency checks are based on information within the database itself. Also, note validation can be used, which implies a comparison of the original database against medical records. A number of related methodological issues are discussed in this article.
临床数据库的实用性在很大程度上取决于所收集数据的质量。数据质量保证应从预先确定数据库的用途开始,制定明确界定的最小数据集,并建立用户友好的界面。所收集数据的质量可通过计算机验证来评估,在此过程中,计算机化的范围和一致性检查基于数据库本身的信息。此外,还可使用笔记验证,即将原始数据库与病历进行比较。本文讨论了一些相关的方法学问题。