公开(公告)号：US11615160B2

公开(公告)日：2023-03-28

申请号：US17242770

申请日：2021-04-28

Applicant: IQVIA Inc.

Inventor： Gary Shorter ,  Jaffershah Jahangeer

IPC: G06F16/955 ,  G16H20/00 ,  G06K7/14 ,  G06K19/06

Abstract: Embodiments of the present disclosure provide a method for monitoring/tracking the lifecycle of a drug from build (e.g., as part of clinical trial development), to approval (e.g., regulatory), to in-market (e.g., distribution and safety information). The use of artificial intelligence (AI) and blockchain technology may enable the system to track the drug down to the prescription level and may support a digital label that can be updated as necessary based on such monitoring (e.g., that can be amended based on safety information detected while the drug is in market and warnings sent out upon amendment).

公开(公告)号：US11610690B2

公开(公告)日：2023-03-21

申请号：US17374650

申请日：2021-07-13

Applicant: IQVIA Inc.

Inventor： Scott Josephson ,  Gary Shorter

IPC: G06F16/901 ,  G06F16/903 ,  G06F40/30 ,  G06N5/02 ,  G06N5/04 ,  G16H50/70

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for responding to a query. In some implementations, a computer obtains a query. The computer determines a meaning for each term in the query. The computer determines user data for the user that submitted the query. The computer identifies one or more ontologies based on the meanings for at least some of the terms. The computer identifies a knowledge graph based on the identified ontologies and the user data. The computer generates a response to the query by traversing a path of the identified knowledge graph to identify items in the knowledge graph based on the determined meaning for each of the terms. The computer generates path data that represents the path taken by the computer through the identified knowledge graph. The computer provides the generated response and the path data to the client device.

公开(公告)号：US20220277576A1

公开(公告)日：2022-09-01

申请号：US17746233

申请日：2022-05-17

Applicant: IQVIA Inc.

Inventor： Gary Shorter ,  Barry Ahrens

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.

公开(公告)号：US20230281261A1

公开(公告)日：2023-09-07

申请号：US18189393

申请日：2023-03-24

Applicant: IQVIA Inc.

Inventor： Gary Shorter ,  Jaffershah Jahangeer

IPC: G06F16/955 ,  G16H20/00 ,  G06K7/14 ,  G06K19/06

CPC classification number: G06F16/9554 ,  G16H20/00 ,  G06K7/1417 ,  G06K19/06009

Abstract: Embodiments of the present disclosure provide a method for monitoring/tracking the lifecycle of a drug from build (e.g., as part of clinical trial development), to approval (e.g., regulatory), to in-market (e.g., distribution and safety information). The use of artificial intelligence (AI) and blockchain technology may enable the system to track the drug down to the prescription level and may support a digital label that can be updated as necessary based on such monitoring (e.g., that can be amended based on safety information detected while the drug is in market and warnings sent out upon amendment).

公开(公告)号：US11734514B1

公开(公告)日：2023-08-22

申请号：US17098812

申请日：2020-11-16

Applicant: IQVIA Inc.

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

IPC: G06F40/00 ,  G06F40/30 ,  G16H10/20 ,  G06N3/04 ,  G06F40/295 ,  G06F40/253 ,  G06F40/284 ,  G06N3/08

CPC classification number: G06F40/30 ,  G06F40/253 ,  G06F40/284 ,  G06F40/295 ,  G06N3/04 ,  G06N3/08 ,  G16H10/20

Abstract: Documents in source natural languages are translated into target natural languages using a computer-implemented translation that is configured to operate within the domain of the subject matter of the documents that imposes specialized requirements for translation and readability. Subject matter specific documents typically include domain-specific terminology, are subject to various regulatory guidelines, and have different readability requirements depending on the intended reader. The computer-implemented translation applies machine-learning techniques that deconstruct elements of the subject matter specific document into a standard data structure and perform pre-processing steps to tokenize digitized document text to identify the correct sentence structure and syntax for the target natural language to optimize translation by, e.g., a neural machine translation engine. The text segments that are input into the neural machine translation engine are generated to be semantically meaningful in the target natural language to thereby enhance the understanding of the neural machine translation engine.

公开(公告)号：US20210034855A1

公开(公告)日：2021-02-04

申请号：US17070533

申请日：2020-10-14

Applicant: IQVIA Inc.

Inventor： Gary Shorter ,  Barry Ahrens

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.

公开(公告)号：US20250117713A1

公开(公告)日：2025-04-10

申请号：US18988184

申请日：2024-12-19

Applicant: IQVIA, Inc.

Inventor： Gary Shorter ,  Malcolm Postings ,  Kevin T. Saylor

IPC: G06N20/00 ,  G06F8/60 ,  G06F30/27 ,  G06N3/08 ,  G06Q30/018 ,  H04L9/00

Abstract: A GxP (good practice) platform is implemented to enable artificial intelligence (AI) algorithms to be tracked from creation through training and into production. Deployed algorithms are assigned a GxP chain ID that enables identification of production details associated with respective algorithms. Trained algorithms, each of which are respectively associated with a GxP chain ID, are containerized and can be utilized through an application programing interface (API) to provide a service. The GxP chain ID is linked to production details stored within a database, in which the production details can include information such as data used to train the algorithm, a history version, a date/time stamp when the algorithm was validated, software and hardware on which the algorithm was developed and trained, among other details. Changes to the algorithm can be tracked using an immutable ledger facilitated by the implementation of blockchain.

公开(公告)号：US20250054640A1

公开(公告)日：2025-02-13

申请号：US18443857

申请日：2024-02-16

Applicant: IQVIA Inc.

Inventor： Scott Josephson ,  Gary Shorter

IPC: G16H50/70 ,  G06F16/901 ,  G06F16/903 ,  G06F40/30 ,  G06N5/02 ,  G06N5/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for responding to a query. In some implementations, a computer obtains a query. The computer determines a meaning for each term in the query. The computer determines user data for the user that submitted the query. The computer identifies one or more ontologies based on the meanings for at least some of the terms. The computer identifies a knowledge graph based on the identified ontologies and the user data. The computer generates a response to the query by traversing a path of the identified knowledge graph to identify items in the knowledge graph based on the determined meaning for each of the terms. The computer generates path data that represents the path taken by the computer through the identified knowledge graph. The computer provides the generated response and the path data to the client device.

公开(公告)号：US20230282368A1

公开(公告)日：2023-09-07

申请号：US18180209

申请日：2023-03-08

Applicant: IQVIA Inc.

Inventor： Scott Josephson ,  Gary Shorter

IPC: G16H50/70 ,  G06F16/901 ,  G06F40/30 ,  G06N5/02 ,  G06N5/04 ,  G06F16/903

CPC classification number: G16H50/70 ,  G06F16/9024 ,  G06F40/30 ,  G06N5/02 ,  G06N5/04 ,  G06F16/90344

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for responding to a query. In some implementations, a computer obtains a query. The computer determines a meaning for each term in the query. The computer determines user data for the user that submitted the query. The computer identifies one or more ontologies based on the meanings for at least some of the terms. The computer identifies a knowledge graph based on the identified ontologies and the user data. The computer generates a response to the query by traversing a path of the identified knowledge graph to identify items in the knowledge graph based on the determined meaning for each of the terms. The computer generates path data that represents the path taken by the computer through the identified knowledge graph. The computer provides the generated response and the path data to the client device.

公开(公告)号：US20220350854A1

公开(公告)日：2022-11-03

申请号：US17242770

申请日：2021-04-28

Applicant: IQVIA, INC.

Inventor： Gary Shorter ,  Jaffershah Jahangeer

IPC: G06F16/955 ,  G06K19/06 ,  G06K7/14 ,  G16H20/00

Abstract: Embodiments of the present disclosure provide a method for monitoring/tracking the lifecycle of a drug from build (e.g., as part of clinical trial development), to approval (e.g., regulatory), to in-market (e.g., distribution and safety information). The use of artificial intelligence (AI) and blockchain technology may enable the system to track the drug down to the prescription level and may support a digital label that can be updated as necessary based on such monitoring (e.g., that can be amended based on safety information detected while the drug is in market and warnings sent out upon amendment).