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1.发明授权公开(公告)号：US11468320B1
公开(公告)日：2022-10-11
申请号：US16527613
申请日：2019-07-31
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Pulla Reddy P. Yeduru
Abstract: Methods and systems for predicting drug directions of a prescription are described. In one embodiment, values of a plurality of required pharmacy elements of a corresponding prescription are received and pre-processed, the values are weighted, a machine learning model to be used by a plurality of machine learning algorithms in predicting drug directions of the prescription is created, and a plurality of drug directions of the prescription are predicted by executing the machine learning algorithms on the weighted values of the plurality of required pharmacy elements of the prescription.
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2.发明公开公开(公告)号：US20230409905A1
公开(公告)日：2023-12-21
申请号：US18242098
申请日：2023-09-05
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Pulla Reddy P. Yeduru
Abstract: Methods and systems for predicting prescription drug directions are described. In one embodiment, a drug direction prediction subsystem receives and pre-processes values of a plurality of required pharmacy elements for a corresponding prescription of a plurality of prescriptions, generates respective weights for the values of the plurality of required pharmacy elements of the prescription based on one or more of the values of the plurality required pharmacy elements of the prescription, creates a machine learning model to be used by the applicable one of the plurality of machine learning algorithms in predicting drug directions of the prescription, the machine learning model using the values of the plurality of required pharmacy elements of the prescription and the respective weights, and predicts a plurality of drug directions of a new prescription by executing the machine learning model using weighted values of the plurality of required pharmacy elements of the new prescription.
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3.发明授权公开(公告)号：US11848086B2
公开(公告)日：2023-12-19
申请号：US17994442
申请日：2022-11-28
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Camille Patel , Pulla R. Yeduru , Robert Seyss
Abstract: Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a plurality of machine learning algorithms in predicting a value of a required pharmacy element of a prescription are identified, each of the plurality of machine learning algorithms are trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, respective success rates for each of the plurality of machine learning algorithms at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and a first of the plurality of machine learning algorithms having a highest success rate is selected to predict the value of the required pharmacy element of the prescription for a first predetermined period.
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4.发明授权公开(公告)号：US12118468B2
公开(公告)日：2024-10-15
申请号：US18242098
申请日：2023-09-05
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Pulla Reddy P. Yeduru
Abstract: Methods and systems for predicting prescription drug directions are described. In one embodiment, a drug direction prediction subsystem receives and pre-processes values of a plurality of required pharmacy elements for a corresponding prescription of a plurality of prescriptions, generates respective weights for the values of the plurality of required pharmacy elements of the prescription based on one or more of the values of the plurality required pharmacy elements of the prescription, creates a machine learning model to be used by the applicable one of the plurality of machine learning algorithms in predicting drug directions of the prescription, the machine learning model using the values of the plurality of required pharmacy elements of the prescription and the respective weights, and predicts a plurality of drug directions of a new prescription by executing the machine learning model using weighted values of the plurality of required pharmacy elements of the new prescription.
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5.发明授权公开(公告)号：US11783186B2
公开(公告)日：2023-10-10
申请号：US17939060
申请日：2022-09-07
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Pulla Reddy P. Yeduru
Abstract: Methods and systems for predicting drug directions of a prescription are described. In one embodiment, values of a plurality of required pharmacy elements of a corresponding prescription are received and pre-processed, the values are weighted, a machine learning model to be used by a plurality of machine learning algorithms in predicting drug directions of the prescription is created, and a plurality of drug directions of the prescription are predicted by executing the machine learning algorithms on the weighted values of the plurality of required pharmacy elements of the prescription.
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Patent Agency Ranking
公开(公告)号：US20230115419A1
公开(公告)日：2023-04-13
申请号：US17499966
申请日：2021-10-13
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Jasbir Singh , Pulla Reddy P. Yeduru , Robert A. Seyss
Abstract: A computer system includes memory hardware configured to store structured microservice configuration data having multiple microservice entries each associated with one of multiple microservice applications of a request processing architecture. The system includes processor hardware configured to access structured microservice configuration data to identify the microservice applications of the request processing architecture, subscribing to messages transmitted by the identified microservice applications for event monitoring, and receiving multiple messages transmitted by the identified microservice applications. For each of the multiple received messages, the instructions include analyzing one or more fields of the received message to determine a correlation identifier associated with the received message, identifying one of the multiple request data structures, storing an event message entry in the identified request data structure, and transforming a user interface of a user device to display at least a portion of the multiple event message entries.
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7.发明申请公开(公告)号：US20230100574A1
公开(公告)日：2023-03-30
申请号：US17994442
申请日：2022-11-28
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Camille Patel , Pulla Reddy Yeduru , Robert Seyss
Abstract: Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a plurality of machine learning algorithms in predicting a value of a required pharmacy element of a prescription are identified, each of the plurality of machine learning algorithms are trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, respective success rates for each of the plurality of machine learning algorithms at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and a first of the plurality of machine learning algorithms having a highest success rate is selected to predict the value of the required pharmacy element of the prescription for a first predetermined period.
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公开(公告)号：US20240087709A1
公开(公告)日：2024-03-14
申请号：US18514181
申请日：2023-11-20
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Camille Patel , Pulla Reddy P. Yeduru , Robert A. Seyss
Abstract: Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a machine learning algorithm in predicting a value of a required pharmacy element of a prescription are identified, the machine learning algorithm is trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, a success rates for the machine learning algorithm at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and the machine learning algorithm predicts the value of the required pharmacy element of the prescription for a first predetermined period.
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9.发明申请公开(公告)号：US20230011684A1
公开(公告)日：2023-01-12
申请号：US17939060
申请日：2022-09-07
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Pulla Reddy P. Yeduru
Abstract: Methods and systems for predicting drug directions of a prescription are described. In one embodiment, values of a plurality of required pharmacy elements of a corresponding prescription are received and pre-processed, the values are weighted, a machine learning model to be used by a plurality of machine learning algorithms in predicting drug directions of the prescription is created, and a plurality of drug directions of the prescription are predicted by executing the machine learning algorithms on the weighted values of the plurality of required pharmacy elements of the prescription.
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10.发明授权公开(公告)号：US11515022B1
公开(公告)日：2022-11-29
申请号：US16272090
申请日：2019-02-11
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Sudipto Dey , Camille Patel , Pulla R. Yeduru , Robert Seyss
Abstract: Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a plurality of machine learning algorithms in predicting a value of a required pharmacy element of a prescription are identified, each of the plurality of machine learning algorithms are trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, respective success rates for each of the plurality of machine learning algorithms at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and a first of the plurality of machine learning algorithms having a highest success rate is selected to predict the value of the required pharmacy element of the prescription for a first predetermined period.
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