Knowledge-Based System for Managing Complex Clinical Trials

R. Shankar, S. Martins, M. O'Connor, David B. Parrish, Amar K. Das
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引用次数: 3

Abstract

Clinical trials are formal patient studies that serve as the gold standard method for establishing the efficacy of medical treatments. There is an enormous requirement to specify the knowledge used at all stages of clinical trials, including planning, implementation, and analysis, so that they can be faithfully executed by a clinical research organization. We are building Epoch, a knowledge-based system, to help a large research consortium, the immune tolerance network (ITN), undertake trials to advance new therapeutics in immune-mediated disorders. We are currently targeting two application areas essential to the successful implementation of a trial: (1) tracking study participants as they advance through a study, and (2) tracking biological specimens as they are processed at laboratories. In this paper, we discuss our use of the Web ontology language (OWL) to create a suite of ontologies that conceptualize the clinical trial domain and show how they can inform our system. We show that our ontological framework provides a stable, consistent platform to define, maintain, and distribute the knowledge requirements used in clinical trial management
基于知识的复杂临床试验管理系统
临床试验是正式的患者研究,是确定药物治疗效果的金标准方法。在临床试验的所有阶段,包括计划、实施和分析,都需要详细说明所使用的知识,以便临床研究机构能够忠实地执行这些知识。我们正在构建Epoch,这是一个基于知识的系统,以帮助大型研究联盟免疫耐受网络(ITN)进行试验,以推进免疫介导疾病的新疗法。我们目前的目标是成功实施试验所必需的两个应用领域:(1)跟踪研究参与者在研究过程中的进展,以及(2)跟踪实验室处理的生物标本。在本文中,我们讨论了如何使用Web本体语言(OWL)来创建一套本体,这些本体概念化了临床试验领域,并展示了它们如何通知我们的系统。我们表明,我们的本体框架提供了一个稳定的、一致的平台来定义、维护和分发临床试验管理中使用的知识需求
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