ACCESS TO MEDICAL INFORMATION THROUGH NATURAL LANGUAGE

通过自然语言获取医疗信息

• 批准号: 2897376
• 负责人: STEPHEN B. JOHNSON
• 金额: $ 12.13万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-08-01 至 2000-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2897376
• 关键词: behavioral /social science research tag; health care personnel; human subject; information display; information retrieval; information system analysis; language; vocabulary development for information system

The goal of this proposal is to design, implement, and evaluate a user interface based on natural language input that will enable health care professionals to access information for clinical, scholarly, and administrative purposes. The significance of the interface is that it is simple for busy professionals to learn the first time, easy for intermittent users to remember, and very general. The specific aims are: (1) provide users of a medical information system a simple and general interface for accessing information; (2) enable access to a broad range of information resources; and (3) evaluate the user interface in terms of its generality, reliability, and usability. The research design is iterative - assessing the system each year, and using the results of these evaluations to improve performance. The first part of Year 1 will be used to develop the preliminary natural language interface consisting of: a workstation interface that will allow a user to enter information requests in natural language and review the results; a natural language parser that will analyze the user's information request and produce a formal representation of its medical information content; and a natural language generator that will provide feedback to the user in simple English concerning the extent of the system's understanding of the information request. The latter part of Year 1 will be used to develop a resource mediator, that will interpret the user's request and interact with information resources on the user's behalf. The resource mediator will provide access to a database of the medical literature (MEDLINE), and a database of pharmaceutical information (Physician's Desk Reference). In addition, the resource mediator will provide feedback to the user about access limitations to information resources, e.g., that certain data is not available, or requires special authorization. At the beginning of Year 2, the reliability of the interface will be assessed by having experts in MEDLINE searching rate its performance in interpreting natural language and in accessing the medical literature. The results of this study will be used to enhance the natural language components. The remainder of the year will be spent on enabling the resource mediator to access a database of clinical information (CPMC Clinical Database). In the following three years, the reliability study will be conducted in the beginning of the year, using experts for all three information resources. In addition, an evaluation will be performed each year to assess the usability of the system as a whole. This study will compare the ability of health-care professionals to access information using the natural language interface against their ability to access information using a high-level access language (conceptual graphs). These studies will be used to make enhancements in the natural language components and resource mediator.

本提案的目标是设计、实现和评估一个用户 基于自然语言输入的界面， 专业人士访问信息的临床，学术， 行政目的。接口的重要性在于， 简单，适合忙碌的专业人士第一次学习，方便 间歇性用户记住，非常一般。具体目标是： (1)为用户提供一个简单通用的医疗信息系统， 访问信息的接口;（2）能够访问广泛的 信息资源;（3）评估用户界面， 通用性、可靠性和可用性。 研究设计是迭代的-每年评估系统， 使用这些评估的结果来改进性能。第一 第一年的一部分将用于开发初步的自然语言 接口包括：工作站接口，允许用户 以自然语言输入信息请求并审查结果; a 自然语言解析器，用于分析用户的信息请求 并生成其医疗信息内容的正式表示; 以及自然语言生成器，其将在 简单的英语，关于系统对 信息请求。第一年的后半部分将用于开发一个 资源中介，它将解释用户的请求并与 以用户的名义提供信息资源。资源调解人 将提供对医学文献数据库（MEDLINE）的访问，以及 药物信息数据库（医师案头参考）。在 此外，资源调解器将向用户提供关于 对信息资源的访问限制，例如，某些数据 不可用或需要特殊授权。 在第二年开始时，接口的可靠性将 通过MEDLINE检索专家对其性能进行评估， 解释自然语言和访问医学文献。的 这项研究的结果将用于增强自然语言 件.今年余下的时间将用于使 访问临床信息数据库（CPMC）的资源中介 临床数据库）。 在未来三年，可靠性研究将在 年初，利用专家对所有三个信息 资源此外，每年将进行一次评价， 评估整个系统的可用性。本研究将比较 卫生保健专业人员使用 自然语言界面对他们获取信息的能力 使用高级访问语言（概念图）。这些研究将 用于增强自然语言组件， 资源中介