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公开(公告)号：US11657922B1
公开(公告)日：2023-05-23
申请号：US16511833
申请日：2019-07-15
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher G. Lehmuth , Alexi E. Makarkin
Abstract: A method for generating predictions for year-over-year change in drug spending and per member per month spending and for providing the predictions via a web portal includes receiving data collected from a health plan. The data includes per member per month costs of the health plan and demographic information of members of the health plan. The method includes selecting therapeutic classes based on the per member per month costs and demographic information, segmenting the data by the therapeutic classes, and detecting patterns by analyzing the segmented data. The method includes generating models for the therapeutic classes based on the patterns, and generating predictions for year-over-year change in drug spending and per member per month spending for the therapeutic classes by utilizing the models. The method includes providing the predictions via a web portal in at least one of a displayable graphical format and a downloadable data structure.
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公开(公告)号：US11545260B1
公开(公告)日：2023-01-03
申请号：US17095504
申请日：2020-11-11
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Amit K. Bothra , Pritesh J. Shah , Christopher G. Lehmuth , Bradley D. Flynn , Varun Tandra
IPC: G16H40/20 , G06N3/08 , G06Q50/00 , G06Q30/02 , G06Q10/10 , G16H20/10 , G16H50/30 , G16H50/20 , G16H50/70 , A61B5/00 , G16H80/00 , H04L65/1066
Abstract: A computer-implemented method includes generating an intervention model for a population of users based on engagement data indicating successfulness of prior interventions for each of the population of users. Each prior intervention corresponds to one of multiple engagement channels, and the intervention model includes multiple channel-specific models. The method includes supplying data related to a first user as input to the intervention model to determine multiple channel-specific intervention expectations. Each channel-specific intervention expectation indicates a likelihood that the first user will take action in response to an intervention being executed using the corresponding engagement channel. The method includes determining a likelihood of a gap in care for the first user, and in response to the gap in care likelihood exceeding a minimum threshold, selecting a first intervention according to the channel-specific intervention expectation that has a highest determined value, and scheduling the selected first intervention for execution.
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公开(公告)号：US11513821B2
公开(公告)日：2022-11-29
申请号：US17121943
申请日：2020-12-15
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
Abstract: A computer system for dynamic adaptation of a user interface according to data store mining includes a data store configured to index event data of a plurality of events. A data analyst device is configured to render the user interface to a data analyst and transmit a message that identifies a selected identifier of the plurality of identifiers. A data processing circuit is configured to train a machine learning model based on event data stored by the data store for a first set of identifiers from within a predetermined epoch. An interface circuit determines an interface metric for the selected identifier based on the determined output of the selected identifier and transmits the interface metric to the data analyst device. The data analyst device is configured to, in response to the interface metric from the interface circuit, selectively perform a modification or removal of a second user interface element.
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公开(公告)号：US11301630B1
公开(公告)日：2022-04-12
申请号：US16575821
申请日：2019-09-19
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
IPC: G06F40/284 , G06N5/00 , G06F40/253
Abstract: A method includes maintaining a question repository in which each question corresponds to a set of decision trees. A distance matrix encodes a distance between each pair of questions. In response to a request for a new question, the method converts the new question into a set of tokens. For each question of the existing questions, the method determines a minimum distance between each token of the new question and the tokens of the question and sums the minimum distances to calculate a distance between the question and the new question. The method includes performing cluster analysis on the distance matrix. Performing cluster analysis includes normalizing the distance matrix and applying a hierarchical clustering process to the normalized distance matrix. Based on the cluster analysis, the method transmits an alternative question proposal or adds the new question to the question repository.
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公开(公告)号：US20210255880A1
公开(公告)日：2021-08-19
申请号：US17307502
申请日：2021-05-04
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
Abstract: A computer system for transforming a user interface according to data store mining includes a data store configured to store a parameter related to a user and index event data of a set of events. A data processing circuit is configured to identify a first set of identifiers and train a machine learning model based on event data by the data store. An interface circuit is configured to receive an indication of a selected identifier of the plurality of identifiers, determine a first intake metric of the selected identifier using the machine learning model, and a second intake metric of the selected identifier and the parameter using the machine learning model. The interface circuit is configured to transform the user interface according to the first intake metric and the second intake metric.
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Patent Agency Ranking
公开(公告)号：US11030277B1
公开(公告)日：2021-06-08
申请号：US15728471
申请日：2017-10-09
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Logan R. Meltabarger , Pritesh J. Shah , Amit K. Bothra , David A. Tomala , Christopher Markson , Bose Daggubati , Christopher G. Lehmuth
Abstract: A method includes obtaining source data containing feedback information, identifying different phrases of interest in the feedback information, generating count data that indicates how often the different phrases of interest appear in the feedback information, determining counts of how often the phrases of interest appear in the feedback information, and modifying a count that is representative of how often at least one phrase of interest appears in the feedback data. The count is modified by reducing the count by a count of how often another, shorter phrase of interest also appears in the feedback data. The method also includes generating at least one interface respectively reflecting the count data for the different phrases of interest and the count that has been modified.
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公开(公告)号：US10776890B1
公开(公告)日：2020-09-15
申请号：US15679258
申请日：2017-08-17
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Stanislav Samarin , Christopher G. Lehmuth , Robert Monzyk
IPC: G06F19/00 , G06F16/903 , G06Q50/22 , G06Q10/04
Abstract: Data threat evaluation systems and methods are described. A data model structure includes a root object query that, when executed, returns a third data subset from the plurality of data types that predate a known threat, the third data subset including data types in both the first data subset and the second data subset; and a model schema to extract, from the third data subset, data types of the first subset that predicate and indicate the threat, the model schema to produce at least an individualized data threat regression model, a script originator regression model, and a script filler data threat regression model using the extracted data types. The system may use the individualized data threat regression model, the script originator regression model, and the script filler data threat regression model back on the data set to identify potential threats. The system can be applied as a fraud, waste or abuse detector.
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18.发明授权公开(公告)号：US12159721B1
公开(公告)日：2024-12-03
申请号：US17072114
申请日：2020-10-16
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Alexi E. Makarkin , Christopher G. Lehmuth
Abstract: A modeling computing device for predicting relative patient hazards based on predicted patient pharmaceutical adherence is provided. The modeling computing device includes a processor configured to receive a set of adherence data associated with adherence to a pharmaceutical prescription by a patient. The processor is also configured to determine a set of predictive adherence scores and determine a variability score associated with the set of predictive adherence scores. The processor is further configured to integrate the set of predictive adherence scores and the variability score into a feature value. The processor is also configured to identify a hazard regression model and to apply the feature value to the hazard regression model to generate an integrated patient hazard model. The processor is also configured to process the integrated patient hazard model to determine a risk level associated with the patient, and transmit an alert based on the risk level.
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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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