公开(公告)号：US20210295031A1

公开(公告)日：2021-09-23

申请号：US17339334

申请日：2021-06-04

Applicant: IQVIA Inc.

Inventor： Gary Douglas Shorter ,  Barry Matthew Ahrens ,  Naouel Baili Ben Abdallah

IPC: G06K9/00 ,  G06F40/279 ,  G06F40/30

Abstract: A computer-implemented method for performing quality review of life science documents is described. One or more of the life science documents are scanned by a mobile device, wherein the one or more life science documents are sent to a database. Language, image, rotation, and noise are among the content that is checked among the life science documents, and wherein similarities, suspicious changes, document layouts, and missing sections are checked among the one or more life science documents. In addition, feedback is sent by a system to an originator of the life science documents based on the content regarding imaging, rotation, and noise and the similarities, suspicious changes, document layouts and missing sections.

公开(公告)号：US11574491B2

公开(公告)日：2023-02-07

申请号：US17112322

申请日：2020-12-04

Applicant: IQVIA Inc.

Inventor： Gary Douglas Shorter ,  Barry Matthew Ahrens ,  Cara Elizabeth Willoughby ,  Yatesh Dass Midha

IPC: G06V30/413 ,  G06F40/279 ,  G06F40/30 ,  G06V30/414

Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools, wherein natural language processing (NLP) is applied to associate text with tokens, and relevant differences and similarities between protocols are identified.

公开(公告)号：US20230177267A1

公开(公告)日：2023-06-08

申请号：US18103538

申请日：2023-01-31

Applicant: IQVIA Inc.

Inventor： Gary Douglas Shorter ,  Barry Matthew Ahrens ,  Cara Elizabeth Willoughby ,  Yatesh Dass Midha

IPC: G06F40/279 ,  G06F40/30 ,  G06V30/413 ,  G06V30/414 ,  G06V30/19 ,  G06V30/416

CPC classification number: G06F40/279 ,  G06F40/30 ,  G06V30/413 ,  G06V30/414 ,  G06V30/19167 ,  G06V30/416 ,  G06V2201/09 ,  G06V2201/10

Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools, wherein natural language processing (NLP) is applied to associate text with tokens, and relevant differences and similarities between protocols are identified.

公开(公告)号：US20210089764A1

公开(公告)日：2021-03-25

申请号：US17112322

申请日：2020-12-04

Applicant: IQVIA Inc.

Inventor： Gary Douglas Shorter ,  Barry Matthew Ahrens ,  Cara Elizabeth Willoughby ,  Yatesh Dass Midha

IPC: G06K9/00 ,  G06F40/279 ,  G06F40/30

Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools, wherein natural language processing (NLP) is applied to associate text with tokens, and relevant differences and similarities between protocols are identified.