Terminological Systems for Representing Patient Status

表示患者状态的术语系统

• 批准号: 6623184
• 负责人: MARCELLINE RUTH HARRIS
• 金额: $ 23.26万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-05-15 至 2005-05-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6623184
• 关键词: automated medical record system; biomedical automation; computer program /software; computer system design /evaluation; data collection methodology /evaluation; functional ability; health care model; hospitals; informatics; medical records; model design /development; patient care management; questionnaires; semantics; vocabulary development for information system

DESCRIPTION (provided by applicant): Health care is a profoundly information intensive industry, existing in an environment where the development and deployment of computer based technologies to support information processing is proceeding at an unprecedented pace. Unfortunately, the lack of consistent and comparable terminological data remains a significant barrier to fully realizing the potential of these new technologies. Concept based terminologies terminology systems offer solutions, emphasizing concept based approaches to terminology rather than lexical based approaches. The overall focus of this proposal is on the underlying concept systems that are required for the machine processing of terminological data related to the subject field of "patient status". We use the term patient status to refer to the dimensions of physical, social, and cognitive functioning within the context of health, disease, and the environment in which one lives. The specific aims of this project are to 1) identify and evaluate terms and terminology systems relevant to patient status, 2) describe a terminology system specific to the subject field of patient status identify and evaluate, and 3) compare a terminology system to formally represent patient status to reference terminology and information models. In accomplishing this, we will leverage nearly a decade of work at the Mayo Clinic that is emphasized concept based terminology systems in support of automated indexing of clinical records, and considerable pilot work specific to indexing the domain of patient status. In contrast to terminology developments that have emphasized disciplinary and business perspectives in modeling initiatives, we are employing a "bottom-up" perspective, emphasizing the subject field perspective of patient status through the assembly of rich textual corpora. At the end of this study, we intend to make available a scalable resource for this field. This work does not duplicate any existing work in terminology and information modeling work, rather extensively builds on existing work.

描述（由申请人提供）： 医疗保健是一个高度信息密集的行业，存在于 基于计算机的开发和部署环境 支持信息处理的技术正在快速发展 前所未有的速度。不幸的是，缺乏一致和可比的 术语数据仍然是充分实现这一目标的重大障碍 这些新技术的潜力。基于概念的术语 术语 系统提供解决方案，强调基于概念的术语方法 而不是基于词汇的方法。 该提案的总体重点是底层概念系统 需要机器处理与相关的术语数据 “患者状况”的主题字段。我们使用术语“患者状态”来指代 身体、社会和认知功能的维度 健康、疾病和居住环境的背景。这 该项目的具体目标是 1) 识别和评估术语 与患者状态相关的术语系统，2) 描述术语 针对患者状态识别和评估主题领域的系统， 3) 比较正式表示患者状态的术语系统 参考术语和信息模型。为了实现这一目标，我们将 利用梅奥诊所近十年的工作，强调概念 基于术语系统支持临床自动索引 记录，以及针对领域索引的大量试点工作 患者状态。 与强调学科和 在建模计划中，我们采用“自下而上”的业务视角 视角，强调患者状态的学科领域视角 通过丰富的文本语料库的组装。在本研究结束时，我们 打算为该领域提供可扩展的资源。这项工作确实 不重复术语和信息建模工作中的任何现有工作， 相当广泛地建立在现有工作的基础上。