Tu S W, Kemper C A, Lane N M, Carlson R W, Musen M A
Section on Medical Informatics, Stanford University School of Medicine, CA.
Methods Inf Med. 1993 Aug;32(4):317-25.
The task of determining patients' eligibility for clinical trials is knowledge and data intensive. In this paper, we present a model for the task of eligibility determination, and describe how a computer system can assist clinical researchers in performing that task. Qualitative and probabilistic approaches to computing and summarizing the eligibility status of potentially eligible patients are described. The two approaches are compared, and a synthesis that draws on the strengths of each approach is proposed. The result of applying these techniques to a database of HIV-positive patient cases suggests that computer programs such as the one described can increase the accrual rate of eligible patients into clinical trials. These methods may also be applied to the task of determining from electronic patient records whether practice guidelines apply in particular clinical situations.
确定患者是否符合临床试验条件的任务需要大量知识和数据。在本文中，我们提出了一种用于资格确定任务的模型，并描述了计算机系统如何协助临床研究人员执行该任务。文中介绍了用于计算和总结潜在合格患者资格状态的定性和概率方法。对这两种方法进行了比较，并提出了一种综合两种方法优势的方案。将这些技术应用于HIV阳性患者病例数据库的结果表明，本文所述的计算机程序可以提高符合条件的患者进入临床试验的入组率。这些方法也可应用于根据电子病历确定实践指南是否适用于特定临床情况的任务。
