Integration of an NLP-based application to support medication management

集成基于 NLP 的应用程序以支持药物管理

• 批准号: 8496045
• 负责人: Li Zhou
• 金额: $ 14.82万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8496045
• 关键词: Integration; NLP; based; application; support

DESCRIPTION (provided by applicant): An accurate and complete medication list on a patient's electronic health record (EHR) is critical to prevent prescribing and administration errors. Stage 1 of Meaningful Use requires certified EHRs to be capable of providing a user with the ability to perform medication reconciliation. However, most previous studies have taken place in the inpatient setting, while medication reconciliation in the outpatient setting is importnt and challenging. In addition, clinical notes contain critical medication information that also need to be reconciled. Our goal of this study is to develop novel methods and a system using natural language processing (NLP) and other technologies to facilitate the medication reconciliation process in the ambulatory setting. Our specific aims are to : 1) identify the requirements, use cases, work flow issues, barriers to and facilitators of using clinical notes and a NLP-based system in the medication reconciliation process; 2) design a generic system architecture and an application that integrates an NLP system and a web-based user interface within an existing medication reconciliation system; 3) pilot this study in two primary care clinics and measure the utilization, usability, performance and feasibility of the proposed methods and the tool; and 4) distribute our methods and the tool and to make them widely available to other researchers and healthcare institutions for non-commercial use.

描述（由申请人提供）：患者电子健康记录（EHR）上的准确而完整的药物清单对于防止处方和给药错误至关重要。有意义的使用的第1阶段要求经过认证的EHR能够为用户提供进行药物对帐的能力。但是，大多数以前的研究都在住院环境中进行，而门诊环境中的药物对帐是导入和挑战性的。此外，临床注意事项包含一些也需要核对的关键药物信息。这项研究的目标是开发新的方法和使用自然语言处理（NLP）和其他技术的系统，以促进门诊环境中的药物和解过程。我们的具体目的是：1）确定在药物对帐过程中使用临床注释的要求，用例，工作流问题，使用临床笔记的障碍以及使用基于NLP的系统； 2）设计一个通用系统体系结构和一个将NLP系统和基于Web的用户界面集成在现有药物对帐系统中的应用程序； 3）在两个初级保健诊所进行了这项研究，并测量了所提出的方法和工具的利用，可用性，性能和可行性； 4）分发我们的方法和工具，并使其他研究人员和医疗机构为非商业用途广泛使用。