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公开(公告)号:US10586614B1
公开(公告)日:2020-03-10
申请号:US15136745
申请日:2016-04-22
发明人: Yong Cai , Bob Doyle , Dong Dai , Wenzhe Lu , Emily Zhao , Steven Rosztoczy
摘要: A computer-assisted method to timely provide notifications of treatments, the method including receiving de-identified longitudinal medical records, each de-identified longitudinal medical record representing a record of a different anonymized patient and encoding information identifying a treatment received by the anonymized patient and receiving notification data including notification records, each notification record encoding information identifying a channel through which the notification was provided. The method includes determining a first channel impact model representing an impact of a notification provided through a first channel on a treatment being received, a second channel impact model representing an impact of a notification provided through a second channel on a treatment being received, and determining a multi-channel impact model representing an impact of notifications being provided through both the first channel and the second channel on a treatment being received.
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公开(公告)号:US10755812B1
公开(公告)日:2020-08-25
申请号:US14815025
申请日:2015-07-31
发明人: Yong Cai , Bob Doyle , George Mu , Dong Dai , Emily Zhao , Steven Rosztoczy
摘要: A computer-assisted method to timely provide notifications of treatments, the method including receiving de-identified longitudinal medical records, receiving notification data, identifying anonymized patients that received the treatment, identifying notifications for the treatment that were received by the recipients, determining, for each of the identified notifications, whether the recipient is an anonymized patient identified as having received the treatment, determining, for each of the identified notifications for the treatment determined to be received by a recipient that is an anonymized patient identified as having received the treatment, a time relationship between the time when the treatment was received by the anonymized patient and the time that the notification was received by the recipient that is the anonymized patient, and determining, for each of the anonymized patients that received the treatment, associations between one or more time relationships for notifications received by the anonymized patient.
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