Medical Vocabulary Support for Patients

描述(由申请人提供)： 消费者和患者面临着过多的健康和健康 关注信息，特别是通过网络内容的激增 资源。网络民主化对患者来说是一个重要的里程碑 和消费者，因为这有助于赋予他们权力，使他们成为更好的倡导者 并促进更好、更知情的决策 健康。尽管如此，他们在识别和访问 回答他们的特定问题的信息，通过标准 信息检索(IR)和基于文本的搜索技术。这部分是因为 由于分层术语和以下概念之间的词汇不匹配 医疗/技术内容的基础。此外，患者的心理模型可以 与内容开发者或内容索引者的概念模型不匹配。 尽管存在丰富的工具和词汇表，但当前术语映射 医疗专业人员的方法和工具还不足以满足 病人的需求。 该项目的目标是为患者开发一种改进的方法 搜索与他们可能有以下问题相关的信息资源 他们的健康。我们将在 执行基于Web的IR任务的上下文，并开发新的可扩展和 一种结合知识的灵活的患者术语映射链接方法 和数据驱动的方法。所提出的方法使用语义网络和 概念之间的权重关系，其中权重表示语义 概念之间的密切关系。权重和关系可以基于 基于先前成功的检索，并可根据特定应用进行调整 上下文。将开发面向患者的医学词汇工具 将帮助患者制定查询，以便从 网际网路。该项目将建立在现有的卫生工具和词汇的基础上 信息索引和检索，并通过以下方式增强这些资源 结合工具和方法，映射以患者为中心的概念和心理 给他们当模特。 将对开发的方法和工具进行评估，以确定它们对 一项随机对照研究中的患者IR。这项研究的对象将 尝试检索与特定方案有关的医疗保健信息 他们将会被提供。我们将测量红外精确度和召回率， 辨别能力，自我感知成功(按受试者)，以及 用户对词汇表支持和不支持的满意度。

DESCRIPTION (provided by applicant): Consumers and patients are confronted with a plethora of health and health care information, especially through the proliferation of web content resources. Democratization of the web is an important milestone for patients and consumers since it helps to empower them, make them better advocates on their own behalf and foster better, more informed decisions about their health. Nonetheless, they have difficulties in identifying and accessing information that answers their specific questions, through standard information retrieval (IR) and text-based search techniques. This is partly due to vocabulary mismatches between lay terminology and the concepts that underlie medical/technical content. In addition, mental models of patients may not match the conceptual models of content developers, or of content indexers. Although a rich array of tools and vocabularies exists, current term mapping methods and tools for medical professionals are not sufficient to meet patients' needs. The goal of this project is to develop an improved means for patients to search for information resources relating to questions they may have about their health. We will define the characteristics of patient terminology in the context of carrying out web-based IR tasks, and develop a new scalable and flexible patient term mapping and linking method by combining knowledge-based and data-driven approaches. The proposed method uses a semantic network with weighted relations among concepts where the weights signify the semantic closeness between the concepts. The weights and relations can be updated based on prior successful retrievals and can be adapted to specific application contexts. A patient-oriented medical vocabulary tool will be developed that will assist patients in formulating queries for retrieving resources from the Internet. The project will build on existing tools and vocabularies for health information indexing and retrieval, and enhance these resources by incorporating tools and methods that map patient-oriented concepts and mental models to them. The method and the tools developed will be evaluated for their impact on patient IR in a randomized controlled study. Subjects in the study will attempt to retrieve healthcare information pertaining to specific scenarios that they will be provided. We will measure IR precision and recall, discriminating ability, self-perceived success (by subjects), and user-satisfaction with and without the vocabulary support.