Sulieman Lina, Yin Zhijun, Malin Bradley A
Vanderbilt University, Nashville, TN.
AMIA Annu Symp Proc. 2020 Mar 4;2019:828-837. eCollection 2019.
Online portals enable patients to exchanging messages with healthcare providers. After discharge, patients message providers to ask questions and report problems. Care providers read and respond accordingly, which requires a non trivial amount of human effort and is unlikely to scale up as portals become more popular. Automatically detecting when a message indicates a worsening in a patient's condition can assist providers to identify patients at risk of readmission. We investigated the association between messages that patients, diagnosed with ischemic heart disease, sent after discharge and the risk of readmission. We studied 4,052 messages sent after discharge for 1,552 patients. We represented messages using inferred latent topics, linguistic features (e.g. emotions, activities), and clusters of medical terms. Our analysis indicates that mentioning medication dosage and additional procedures are associated with readmission. Moreover, patients who were readmitted rarely mentioned leisurely activities or described their insights about their health information.
在线门户使患者能够与医疗服务提供者交流信息。出院后,患者会向医疗服务提供者发送信息询问问题并报告问题。医疗服务提供者阅读并相应回复,这需要大量人力,而且随着门户越来越受欢迎,不太可能扩大规模。自动检测信息何时表明患者病情恶化可以帮助医疗服务提供者识别有再次入院风险的患者。我们调查了患有缺血性心脏病的患者出院后发送的信息与再次入院风险之间的关联。我们研究了1552名患者出院后发送的4052条信息。我们使用推断出的潜在主题、语言特征(如情绪、活动)和医学术语簇来表示信息。我们的分析表明,提及药物剂量和额外的治疗程序与再次入院有关。此外,再次入院的患者很少提及休闲活动或描述他们对健康信息的见解。