The Cancer Training Web -- A Multi-Institutional Tutoring System in Pathology

描述（由申请人提供）：在之前的工作中，我们已经开发、部署和评估了一个高度新颖的智能训练系统，用于诊断和报告黑色素瘤和其他黑色素细胞病变的病例。结果表明，该系统在提高学生成绩方面是非常有效的。我们建议吸取过去资助期间的经验教训，将我们目前的系统从一个机构和一个领域的孤立独立系统转变为跨多个机构运行的分布式通用辅导环境。我们将提出的分布式架构将提供一种方法来解决目前在提供有效癌症教育方面的一些最重要的障碍——内容开发的费用和成本，大多数教育系统的孤立性，以及支持机构之间有效合作的困难。为了实现这些目标，我们将(1)将系统与NCI正在开发的标准化词汇表和数据标准联系起来，作为一种将病理学领域从一个小领域扩展到所有病理学领域的方法，(2)开发创作环境，允许我们机构以外的个人使用我们的系统来创建和部署他们自己的辅导案例，从而形成一个全国性的辅导病理学案例网络。(3)将该系统与临床信息系统和工作流程集成，以便所有高度注释的临床材料都可以作为教学材料使用，从而减少进一步的工作。该项目的结果将是一个全国性的网络化智能辅导系统，在整个领域内为基于标准的教育提供平台。

DESCRIPTION (provided by applicant): In previous work, we have developed, deployed and evaluated a highly novel intelligent training system for diagnosing and reporting on cases of melanoma and other melanocytic lesions. Results show that the system is highly effective in improving student performance. We propose to take the lessons learned in the past funding period, to transform our current system from an isolated standalone system in one institution and one domain, into a distributed general tutoring environment that functions across multiple institutions. The distributed architecture we will propose will provide a means to address some of the most important current barriers in providing effective cancer education - the expense and cost of content development, the isolated nature of most educational systems, and the difficulty of supporting effective collaboration between institutions. In order to accomplish these goals, we will (1) link the system to standardized vocabularies and data standards being developed at NCI as a method to extend the domain from one small area of Pathology to all areas of Pathology, (2) develop authoring environments that allow individuals outside of our institution to use our systems to create and deploy their own tutoring cases resulting in a national network of tutored pathology cases, and (3) integrate the system with clinical information systems and workflows so that all of the highly annotated clinical materials become available as teaching material with minimal further work. The result of this project will be a nationally networked intelligent tutoring system that provides a platform for standards based education within an entire domain.