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公开(公告)号：US20210004958A1
公开(公告)日：2021-01-07
申请号：US16998358
申请日：2020-08-20
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
Abstract: A computer system includes an input configured to receive a first image of medication located in a receptacle, memory, and a processor configured to execute instructions including creating a second image based on the first image, dividing pixels of the second image into first and second subsets, and scanning the second image along a first axis to count, for each point along the first axis, a number of pixels in the first subset along a line perpendicular to the first axis that intersects the first axis at the point. The instructions also include estimating positions of first and second edges of the receptacle along the first axis based on the counts of the pixels, defining an opening of the receptacle based on the estimated positions of the first and second edges, and outputting a processed image that indicates areas of the image that are outside of the defined opening.
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公开(公告)号：US20190156475A1
公开(公告)日：2019-05-23
申请号：US16190548
申请日：2018-11-14
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
Abstract: A method includes capturing a first image of medication held by a receptacle. The method includes creating a second image based on the first image. The method includes determining a first subset of pixels of the second image that are more likely to correspond to the receptacle. The method includes processing the second image along a first axis by, for each point: defining a line perpendicularly intersecting the first axis at the point and counting how many of the pixels located along the line are in the first subset. The method includes determining first and second local maxima of the counts. The method includes estimating positions of first and second edges of the receptacle based on positions of the local maxima. The method includes defining an ellipse based on the first and second edges and excluding areas of the first image outside the defined ellipse from further processing.
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公开(公告)号：US12243645B2
公开(公告)日：2025-03-04
申请号：US18543804
申请日：2023-12-18
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Pritesh J. Shah , Christopher R. Markson , Logan R. Meltabarger
Abstract: A computer-implemented method includes defining model attributes including a training iteration value that defines a set of training iterations to be used in machine learning to associate portions of feedback data with a set of topic groups based on similarities in concepts conveyed in the feedback data. The method includes removing at least some of the confidential information from the feedback data. The method includes receiving a topic model number selection that indicates a subset of the set of topic groups. The method includes using machine learning to train a machine model based on the model attributes and the topic model number selection. The method includes generating a display showing at least one of a topic cluster graph or a word cloud based on the machine model.
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公开(公告)号：US11379979B2
公开(公告)日：2022-07-05
申请号：US16998358
申请日：2020-08-20
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
Abstract: A computer system includes an input configured to receive a first image of medication located in a receptacle, memory, and a processor configured to execute instructions including creating a second image based on the first image, dividing pixels of the second image into first and second subsets, and scanning the second image along a first axis to count, for each point along the first axis, a number of pixels in the first subset along a line perpendicular to the first axis that intersects the first axis at the point. The instructions also include estimating positions of first and second edges of the receptacle along the first axis based on the counts of the pixels, defining an opening of the receptacle based on the estimated positions of the first and second edges, and outputting a processed image that indicates areas of the image that are outside of the defined opening.
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公开(公告)号：US10896048B1
公开(公告)日：2021-01-19
申请号：US16117140
申请日：2018-08-30
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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Patent Agency Ranking
公开(公告)号：US10776916B2
公开(公告)日：2020-09-15
申请号：US16190548
申请日：2018-11-14
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Christopher R. Markson , Pritesh J. Shah , Christopher G. Lehmuth
Abstract: A method includes capturing a first image of medication held by a receptacle. The method includes creating a second image based on the first image. The method includes determining a first subset of pixels of the second image that are more likely to correspond to the receptacle. The method includes processing the second image along a first axis by, for each point: defining a line perpendicularly intersecting the first axis at the point and counting how many of the pixels located along the line are in the first subset. The method includes determining first and second local maxima of the counts. The method includes estimating positions of first and second edges of the receptacle based on positions of the local maxima. The method includes defining an ellipse based on the first and second edges and excluding areas of the first image outside the defined ellipse from further processing.
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公开(公告)号：US20240120103A1
公开(公告)日：2024-04-11
申请号：US18543804
申请日：2023-12-18
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Pritesh J. Shah , Christopher R. Markson , Logan R. Meltabarger
Abstract: A computer-implemented method includes defining model attributes including a training iteration value that defines a set of training iterations to be used in machine learning to associate portions of feedback data with a set of topic groups based on similarities in concepts conveyed in the feedback data. The method includes removing at least some of the confidential information from the feedback data. The method includes receiving a topic model number selection that indicates a subset of the set of topic groups. The method includes using machine learning to train a machine model based on the model attributes and the topic model number selection. The method includes generating a display showing at least one of a topic cluster graph or a word cloud based on the machine model.
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公开(公告)号：US11830610B2
公开(公告)日：2023-11-28
申请号：US18092260
申请日：2022-12-31
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 , G06Q30/0201 , G06Q10/107 , G16H20/10 , G16H50/30 , G16H50/20 , G16H50/70 , A61B5/00 , G16H80/00 , H04L65/1066
CPC classification number: G16H40/20 , A61B5/4833 , G06N3/08 , G06Q10/107 , G06Q30/0201 , G06Q50/01 , G16H20/10 , G16H50/20 , G16H50/30 , G16H50/70 , G16H80/00 , H04L65/1066
Abstract: A method includes generating an intervention model by determining principal components for features of a training set, associating each feature of the training set with a principal component, selecting features of the training set most highly correlated with principal components, training a machine learning model with at least some of the selected features, and saving the verified trained machine learning model as the intervention model. The method includes determining multiple channel-specific intervention expectations. Each channel-specific intervention expectation indicates a likelihood that the user will take action in response to an intervention being executed using the engagement channel corresponding to the channel-specific intervention expectation. The method includes selecting an intervention and scheduling the selected intervention for execution.
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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：US11521750B1
公开(公告)日：2022-12-06
申请号：US16930822
申请日：2020-07-16
Applicant: Express Scripts Strategic Development, Inc.
Inventor： Mark D. Wong , Amit K. Bothra , Pritesh J. Shah , Karnik D. Patel
Abstract: A computerized method includes determining a clinical opportunity to improve care for a user according to automated triggering of a gap identification rule, generating a persona of the user based on one or more personalization scores that are specific to the user, and generating a care plan for reducing the gap in care based on the persona. The care plan includes a plurality of methods of increasing compliance of the user with the care plan, selected based on the one or more personalization scores, and include different modes of communicating with the user either directly or through at least one of a physician and a pharmacist depending on the one or more personalization scores. The method includes deploying the care plan to provide automated selection of one or more of the different modes of communicating with the user to increase compliance of the user with the care plan.
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