Analysis of Primary Care Provider Electronic Health Record Notes for Discussions of Prediabetes Using Natural Language Processing Methods.
Analysis of Primary Care Provider Electronic Health Record Notes for Discussions of Prediabetes Using Natural Language Processing Methods.
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使用自然语言处理方法分析初级保健提供者电子健康记录笔记以讨论糖尿病前期。
DOI：
10.1007/s11606-020-06400-1
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发表时间：
2021
影响因子：
5.7
通讯作者：
Maruthur,NisaM
中科院分区：
文献类型：
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作者：
Tseng,Eva;Schwartz,JessicaL;Rouhizadeh,Masoud;Maruthur,NisaM
方法在第一和第二阶段，我们纳入了在2016年7月1日至2018年12月31日期间在学术医疗中心的初级保健诊所亲自就诊的无糖尿病成年人（n= 19），并且至少有一个HbA1c为5.7-6.4%。我们根据作者的临床经验制定了初始关键词搜索策略（表1）。在第一阶段，我们从两个诊所中识别并提取匹配≥1个关键词的PCP就诊记录。通过对符合纳入/排除标准但不包含任何关键词的患者的病历进行随机图表回顾，我们确定了额外的关键词。附录提供了更多的细节。
METHODSIn phases 1 and 2, we included adults without diabetes with an in-person office visit at a primary care clinic (n= 19) at an academic medical center and at least one HbA1c 5.7–6.4% between 7/1/2016 and 12/31/2018. We based the initial keyword search strategy on the authors’ clinical experience (Table 1). In phase 1, we identified and extracted PCP encounter notes matching≥ 1 keyword from two clinics. Through random chart review of notes for patients meeting the inclusion/exclusion criteria but not containing any keyword, we identified additional keywords. The Supplement provides additional details.