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.