发明名称 Displaying Predictive Modeling and Psychographic Segmentation of Population for More Efficient Delivery of Healthcare
摘要 A system and method for reducing adverse healthcare events for an ailment. First, data is processed from at least one source. The data is fed to a predictive model to obtain a set of predicted patients. These patients are predicted to experience an adverse healthcare event for an ailment within a specified time frame. Thereafter, a message is delivered to the predicted patients. The message relates to preventing future adheres healthcare events for an ailment.
申请公布号 US2016117468(A1) 申请公布日期 2016.04.28
申请号 US201414525866 申请日期 2014.10.28
申请人 Mankad Vipul N.;Ghosh Joydeep;Rao Yasho;Rao Nagi;Maruri Satya 发明人 Mankad Vipul N.;Ghosh Joydeep;Rao Yasho;Rao Nagi;Maruri Satya
分类号 G06F19/00 主分类号 G06F19/00
代理机构 代理人
主权项 1. A method of reducing adverse healthcare events for an ailment, said method comprising the steps of: processing and receiving data from at least one source; feeding said data to a predictive model to obtain a set of predicted patients, wherein the set of predicted patients are predicted to experience an adverse healthcare event for said ailment within a specified time frame; applying a psychographic analysis on at least a portion of said set of predicted patients, wherein said psychographic analysis segments the portion of said set of predicted patients into at least two segments of patients which share personality characteristics; matching said segments with patient care approaches likely to be effective and cost efficient; delivering a message to said predicted patients, wherein the message relates to preventing future adverse healthcare events for said ailment; and wherein said adverse healthcare event comprises admission into inpatient acute care hospitals.
地址 Chapel Hill NC US
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