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公开(公告)号：US20240282452A1
公开(公告)日：2024-08-22
申请号：US18653547
申请日：2024-05-02
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Swati Tyagi , Rahul Rajendran , Christopher R. Markson , Pritesh J. Shah
Abstract: A computer-implemented method for generating one or more summarizations of a large volume of feedback data includes obtaining the feedback data. The feedback data is provided from disparate sources. The method includes separating the feedback data into a set of sentences, generating feedback embeddings of the set of sentences by providing the set of sentences to a set of machine models, providing topic input data to the set of machine models, computing sentence similarity of the feedback embeddings, calculating an importance score for each sentence of the set of sentences, ranking the set of sentences according to their respective importance scores, selecting one or more subsets of the set of sentences to generate the one or more summarizations, generating a visual representation of the one or more summarizations, and displaying the visual representation in an interactive user interface.
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公开(公告)号：US12033731B2
公开(公告)日：2024-07-09
申请号：US17168745
申请日：2021-02-05
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Logan R. Meltabarger , Pritesh J. Shah , Amit K. Bothra , David A. Tomala , Christopher R. Markson , Bose S. Daggubati , Christopher G. Lehmuth
CPC classification number: G16H10/60
Abstract: A content analysis system includes a processor executing instructions from memory. The instructions include, in response to receiving a request signal from a user device, obtaining feedback items, each having a source indicator; identifying unique source indicators; and, for each source indicator, aggregating corresponding ones of the feedback items. A set of filtered feedback items is generated according to either first or second access levels associated with a user of the user device. A subset of filtered feedback items is selected according to a date range specified by the request signal, a set of automated rules is applied, and natural language processing is performed based on frequency of presence of salient terms to identify themes. A control signal is transmitted to a user interface of the user device instructing display of a representation that indicates a change in the frequency of the identified themes over the specified date range.
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公开(公告)号：US11848101B2
公开(公告)日：2023-12-19
申请号：US17363605
申请日：2021-06-30
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Pritesh J. Shah , Christopher R. Markson , Logan R. Meltabarger
Abstract: A method includes defining model attributes of a machine model that organizes feedback data into topic groups based on similarities in concepts in the feedback data. The model attributes include a topic model number that defines how many topic groups are to be created, a hyperparameter optimization alpha value, and/or a hyperparameter optimization beta value. The method also includes generating the machine model using the model attributes that are defined and the feedback data, and applying the machine model to the feedback data to divide different portions of the feedback data into the different topic groups based on contents of the feedback data, the topic model number, the hyperparameter optimization alpha value, and/or the hyperparameter optimization beta value.
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公开(公告)号：US11551820B1
公开(公告)日：2023-01-10
申请号：US16731378
申请日：2019-12-31
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Amit K. Bothra , Pritesh J. Shah , Christopher G. Lehmuth , Bradley D. Flynn
Abstract: A method includes generating an intervention model for a population of users based on contact data, demographic data, and engagement data indicating successfulness of prior interventions for each of the population of users. The method includes, obtaining first data related to a first user, including engagement data indicating successfulness of prior interventions with the first user. The method includes supplying the obtained data as input to the intervention model to determine an intervention expectation, which indicates a likelihood that the first user will take action in response to an intervention. The method includes determining a likelihood of a gap in care. The method includes, in response to the care gap likelihood exceeding a minimum threshold, selecting and scheduling execution of a first intervention. The first intervention is one of a real-time communication with the first user by a specialist and an automated transmission of a message to the first user.
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公开(公告)号：US20210158919A1
公开(公告)日：2021-05-27
申请号：US17168745
申请日：2021-02-05
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Logan R. Meltabarger , Pritesh J. Shah , Amit K. Bothra , David A. Tomala , Christopher R. Markson , Bose S. Daggubati , Christopher G. Lehmuth
IPC: G16H10/60
Abstract: A content analysis system includes a processor executing instructions from memory. The instructions include, in response to receiving a request signal from a user device, obtaining feedback items, each having a source indicator; identifying unique source indicators; and, for each source indicator, aggregating corresponding ones of the feedback items. A set of filtered feedback items is generated according to either first or second access levels associated with a user of the user device. A subset of filtered feedback items is selected according to a date range specified by the request signal, a set of automated rules is applied, and natural language processing is performed based on frequency of presence of salient terms to identify themes. A control signal is transmitted to a user interface of the user device instructing display of a representation that indicates a change in the frequency of the identified themes over the specified date range.
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Patent Agency Ranking
公开(公告)号：US11977903B2
公开(公告)日：2024-05-07
申请号：US17994901
申请日：2022-11-28
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
Abstract: A method includes receiving a first set of identifiers selected based on commonality among descriptive data corresponding to the identifiers of the first set. Each identifier corresponds to a user who has been supplied a physical object. The method includes identifying event data for the first set within a specified epoch. The method includes training a machine learning model for the first set using the identified event data. The machine learning model is trained using parallel processing of records from a storage structure storing the event data. The parallel processing includes assigning analysis of the event data of each of a subset of the first set to respective processor threads for parallel execution on processing hardware. The trained machine learning model is configured to receive a selected identifier and generate an output representing an amount of resources expected to be used by the selected identifier for a subsequent epoch.
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公开(公告)号：US20230090355A1
公开(公告)日：2023-03-23
申请号：US17994901
申请日：2022-11-28
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
Abstract: A method includes receiving a first set of identifiers selected based on commonality among descriptive data corresponding to the identifiers of the first set. Each identifier corresponds to a user who has been supplied a physical object. The method includes identifying event data for the first set within a specified epoch. The method includes training a machine learning model for the first set using the identified event data. The machine learning model is trained using parallel processing of records from a storage structure storing the event data. The parallel processing includes assigning analysis of the event data of each of a subset of the first set to respective processor threads for parallel execution on processing hardware. The trained machine learning model is configured to receive a selected identifier and generate an output representing an amount of resources expected to be used by the selected identifier for a subsequent epoch.
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公开(公告)号：US11366834B2
公开(公告)日：2022-06-21
申请号：US16923633
申请日：2020-07-08
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Adithya Chowdary Boppana , Rahul Rajendran , Pritesh J. Shah , Christopher G. Lehmuth
IPC: G06F16/00 , G06F16/28 , G06F16/958
Abstract: A system includes a processor and memory. The memory stores a model database including models and a classification database including classification scores corresponding to an input. The memory stores instructions for execution by the processor. The instructions include, in response to receiving a first input from a user device of a user, determining, for the first input, classification scores for classifications by applying the models to the first input. Each model determines one of the classification scores. The instructions include storing the classification scores as associated with the first input in the classification database and identifying the first input as within a first classification in response to a first classification score corresponding to the first classification exceeding a first threshold. The instructions include transmitting, for display on an analyst device, the first input based on the first classification to a first analyst queue associated with the first classification.
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公开(公告)号：US20220012267A1
公开(公告)日：2022-01-13
申请号：US16923633
申请日：2020-07-08
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Adithya Chowdary Boppana , Rahul Rajendran , Pritesh J. Shah , Christopher G. Lehmuth
IPC: G06F16/28 , G06F16/958
Abstract: A system includes a processor and memory. The memory stores a model database including models and a classification database including classification scores corresponding to an input. The memory stores instructions for execution by the processor. The instructions include, in response to receiving a first input from a user device of a user, determining, for the first input, classification scores for classifications by applying the models to the first input. Each model determines one of the classification scores. The instructions include storing the classification scores as associated with the first input in the classification database and identifying the first input as within a first classification in response to a first classification score corresponding to the first classification exceeding a first threshold. The instructions include transmitting, for display on an analyst device, the first input based on the first classification to a first analyst queue associated with the first classification.
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公开(公告)号：US20210398681A1
公开(公告)日：2021-12-23
申请号：US17363605
申请日：2021-06-30
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Pritesh J. Shah , Christopher R. Markson , Logan R. Meltabarger
Abstract: A method includes defining model attributes of a machine model that organizes feedback data into topic groups based on similarities in concepts in the feedback data. The model attributes include a topic model number that defines how many topic groups are to be created, a hyperparameter optimization alpha value, and/or a hyperparameter optimization beta value. The method also includes generating the machine model using the model attributes that are defined and the feedback data, and applying the machine model to the feedback data to divide different portions of the feedback data into the different topic groups based on contents of the feedback data, the topic model number, the hyperparameter optimization alpha value, and/or the hyperparameter optimization beta value.
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