Encoding and Processing Patient Allergy Information in EHRs

在 EHR 中编码和处理患者过敏信息

• 批准号: 8642929
• 负责人: Li Zhou
• 金额: $ 48.99万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-30 至 2017-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8642929
• 关键词: Encoding; Processing; Patient; Allergy; Information

Abstract Allergies affect one in five Americans and are the 5th leading chronic disease in the U.S. Each year, allergies account for more than 17 million outpatient office visits. Although documenting and exchanging allergy information in electronic health records (EHRs) is becoming increasingly important, we still face multiple challenges. These include: lack of well-adopted standard terminologies for representing allergies, frequent entry of allergy information as free-text, and no existing process for reconciling allergy information. In this study, we will provide solutions to these challenges by addressing the following specific aims: 1) conduct analyses on standard terminologies and a large allergy repository to build a comprehensive knowledge base for representing allergy information; 2) design, develop and evaluate a natural language processing (NLP) module for extracting and encoding free-text allergy information and integrate it with an existing NLP system; 3) measure the feasibility and efficiency of the proposed NLP system for the new process of allergy reconciliation; and 4) distribute our methods and tool, so they are widely available to other researchers and healthcare institutions for non-commercial use.

抽象的 过敏会影响五分之一的美国人，是美国第五个领先的慢性病 每年，过敏症占1700万个门诊办公室访问。虽然 在电子健康记录（EHR）中记录和交换过敏信息是 变得越来越重要，我们仍然面临多重挑战。这些包括：缺乏 代表过敏的标准术语良好，经常进入过敏 信息是自由文本，也没有现有的核对过敏信息的过程。在这个 研究，我们将通过解决以下具体目标来为这些挑战提供解决方案： 1）对标准术语和大型过敏存储库进行分析以构建 代表过敏信息的全面知识库； 2）设计，开发和 评估用于提取和编码自由文本的自然语言处理（NLP）模块 过敏信息并将其与现有的NLP系统集成； 3）测量可行性 和拟议的NLP系统的效率以及新的过敏和解过程；和 4）分发我们的方法和工具，因此它们可为其他研究人员和 非商业用途的医疗机构。