Sentiment Measured in Hospital Discharge Notes Is Associated with Readmission and Mortality Risk: An Electronic Health Record Study
Sentiment Measured in Hospital Discharge Notes Is Associated with Readmission and Mortality Risk: An Electronic Health Record Study
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DOI：
10.1371/journal.pone.0136341
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发表时间：
2015-08-24
期刊：
影响因子：
3.7
通讯作者：
Perlis, Roy H.
中科院分区：
文献类型：
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作者：
McCoy, Thomas H.;Castro, Victor M.;Perlis, Roy H.
自然语言处理工具允许描述文本中的情感，即表达积极和消极情绪的术语。将这些工具应用于电子健康记录可以提供对单独编码数据中未捕获的有意义的患者或临床医生特征的洞察。我们对2011年1月至2014年1月期间新英格兰一个大型卫生系统中2,010名精神病住院患者的2,484份出院记录以及15,011名普通医疗单位患者的20,859份出院记录进行了情感分析。情绪的主要措施捕获强度的主观积极或消极的情绪中表达的出院记录。在混合效应回归模型中比较社会人口统计学和临床组之间的平均得分。然后在考克斯回归模型中检查出院记录情绪与再入院风险的相关性。在精神科和普通科队列中，有较大医疗并发症的患者的出院记录中，积极情绪适度但显著较低（p
Natural language processing tools allow the characterization of sentiment-that is, terms expressing positive and negative emotion-in text. Applying such tools to electronic health records may provide insight into meaningful patient or clinician features not captured in coded data alone. We performed sentiment analysis on 2,484 hospital discharge notes for 2,010 individuals from a psychiatric inpatient unit, as well as 20,859 hospital discharges for 15,011 individuals from general medical units, in a large New England health system between January 2011 and 2014. The primary measures of sentiment captured intensity of subjective positive or negative sentiment expressed in the discharge notes. Mean scores were contrasted between sociodemographic and clinical groups in mixed effects regression models. Discharge note sentiment was then examined for association with risk for readmission in Cox regression models. Discharge notes for individuals with greater medical comorbidity were modestly but significantly lower in positive sentiment among both psychiatric and general medical cohorts (p