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哮喘管理临床实践指南的自动化应用。

Automated application of clinical practice guidelines for asthma management.

作者信息

Ertle A R, Campbell E M, Hersh W R

机构信息

Biomedical Information Communication Center, Oregon Health Sciences University, Portland, USA.

出版信息

Proc AMIA Annu Fall Symp. 1996:552-6.

Abstract

Clinical practice guidelines will be more beneficial when they are integrated with the electronic medical record. We applied natural language processing (NLP) techniques to extract clinical findings from outpatient progress notes in an attempt to: 1) select outpatient chart notes appropriate for evaluation against the National Heart, Lung, and Blood/National Asthma Education Program clinical practice guidelines for the diagnosis and management of asthma, 2) determine patient need for inhaled anti-inflammatory agents, and 3) quantify the severity of asthma. Our results were compared to judgements by an expert panel of practitioners. We were able to correctly identify the need for inhaled anti-inflammatory agents 76% of the time. The success of this pilot project could have broad implications for the application of clinical practice guidelines.

摘要

临床实践指南与电子病历相结合时将更有益。我们应用自然语言处理(NLP)技术从门诊病程记录中提取临床发现,旨在:1)选择适合根据美国国家心肺血液研究所/国家哮喘教育计划哮喘诊断和管理临床实践指南进行评估的门诊病历,2)确定患者对吸入性抗炎药的需求,以及3)量化哮喘的严重程度。我们将结果与一组执业专家的判断进行了比较。我们能够在76%的时间里正确识别对吸入性抗炎药的需求。这个试点项目的成功可能对临床实践指南的应用产生广泛影响。

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