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Monitoring, predicting and alerting for census periods in medical inpatient units

机译:医疗住院单位的人口普查期监测,预测和警报人口普查期

摘要

Systems and techniques for monitoring, predicting and/or alerting for census periods in medical inpatient units are presented. A system can perform a first machine learning process to learn patterns in patient flow data related to a set of patient identities and a set of operations associated with a set of medical inpatient units. The system can also perform a second machine learning process to detect abnormalities associated with the patterns in the patient flow data. Furthermore, the system can determine patient census data associated with a prediction for a total number of patient identities in the set of medical inpatient units during a period of time based on the patterns and the abnormalities. The system can also generate an alert for a user interface in response to a determination that the patient census data satisfies a defined criterion.
机译:提出了用于监测,预测和/或警报医疗住院单位人口普查期的监测的系统和技术。系统可以执行第一机器学习过程,以学习与一组患者身份相关的患者流数据中的模式和与一组医疗住院单位相关联的一组操作。该系统还可以执行第二机器学习过程以检测与患者流数据中的模式相关联的异常。此外,该系统可以在基于模式和异常的时间段内确定与在医疗住院单元集合中的​​患者身份的总数的预测相关联的患者人口普查数据。该系统还可以为用户界面生成警报,响应于患者人口普查数据满足已定标准。

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