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公开(公告)号：US11514528B1
公开(公告)日：2022-11-29
申请号：US16446825
申请日：2019-06-20
Applicant: Express Scripts Strategic Development, Inc.
Inventor： John Ciliberti , Amit Gollapudi , Richard Ball
Abstract: A machine learning process for use with a pharmacy benefits management system. The machine learning process identifies a first predicted set of drug benefit claims impacted by a pricing error, reprices a sample of the first predicted set of drug benefit claims to adjust for the error, and trains a predictive model as a function of the repriced sample. Based on the trained model, the machine learning process predicts a second predicted set of drug benefit claims impacted by the error and initiates automatic repricing.
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公开(公告)号：US20230061727A1
公开(公告)日：2023-03-02
申请号：US17985603
申请日：2022-11-11
Applicant: Express Scripts Strategic Development, Inc.
Inventor： John Ciliberti , Amit Gollapudi , Richard Ball
Abstract: A machine learning process for use with a pharmacy benefits management system. The machine learning process identifies a first predicted set of drug benefit claims impacted by a pricing error, reprices a sample of the first predicted set of drug benefit claims to adjust for the error, and trains a predictive model as a function of the repriced sample. Based on the trained model, the machine learning process predicts a second predicted set of drug benefit claims impacted by the error and initiates automatic repricing.
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