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: 8741955
• 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 2015-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8741955
• 关键词: Encoding; Processing; Patient; Allergy; Information

DESCRIPTION (provided by applicant): 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.

描述（由申请人提供）：过敏症影响着五分之一的美国人，是美国第五大慢性疾病。每年，过敏症导致超过 1700 万人次就诊。尽管在电子健康记录 (EHR) 中记录和交换过敏信息变得越来越重要，但我们仍然面临多重挑战。其中包括：缺乏广泛采用的代表过敏的标准术语、频繁地将过敏信息作为自由文本输入以及没有现有的过敏信息协调流程。在本研究中，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，以构建用于表示过敏信息的综合知识库； 2）设计、开发和评估用于提取和编码自由文本过敏信息的自然语言处理（NLP）模块，并将其与现有的NLP系统集成； 3) 衡量所提出的 NLP 系统对于过敏协调新流程的可行性和效率； 4) 分发我们的方法和工具，以便其他研究人员和医疗机构广泛使用它们用于非商业用途。