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

IPC: G06F40/00 ,  G16H10/60

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.

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.

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

IPC: G06F19/00 ,  G16H10/60 ,  G06F16/33 ,  G06Q50/00 ,  G16H10/20

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.

公开(公告)号：US10657480B1

公开(公告)日：2020-05-19

申请号：US15669741

申请日：2017-08-04

Applicant: Express Scripts Strategic Development, Inc.

Inventor： Dhanur S. Balagere ,  David A. Tomala ,  Robert F. Nease ,  Reethi N. Iyengar

IPC: G06Q10/06 ,  G06Q50/22 ,  G06F19/00 ,  G16H40/20

Abstract: Methods and systems for pharmacy modeling are described. The risk adjusted pharmacy predictive model is created from member data, claims data, and population data. This model can be used to compare the actual pharmacy performance to an expected actual pharmacy performance value, which can be used to identify pharmacies at risk or not performing to an acceptable level. The model can be used for adherence and generic drug utilization ratings of pharmacies. The pharmacy can be judged on a therapy class by therapy class basis with factors that reflect the demographic, socio-economic, location, benefits attributes, etc. that actually affect the performance of the pharmacy and may assist in determining the quality of care by a pharmacy.