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公开(公告)号：US20240331878A1
公开(公告)日：2024-10-03
申请号：US18193918
申请日：2023-03-31
Applicant: IQVIA Inc.
Inventor： Yong CAI , Yanping LIU , Ruoxin LI , Emily ZHAO , Yilian YUAN
Abstract: A method includes receiving data and integrating the data into a computing system. The method also includes applying a machine learning system to identify patients from the integrated data to place in one or more communities that include consumer-related data and social determinants of health data. The method also includes combining path projection, aggregation, and embedding to establish one or more paths to connect the patients to the communities based on the consumer-related data and/or the social determinants of health data in the one or more communities. The method also includes training a machine learning system to identify a correct path among the one or more established paths to place the patients on to be connected to the one or more communities.
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公开(公告)号：US12106194B1
公开(公告)日：2024-10-01
申请号：US17532478
申请日：2021-11-22
Applicant: IQVIA Inc.
Inventor： Kristy Morgan , Mark Boone Brown , Natalia Balko , April Lewis , Lucas Glass , Elizabeth Bodine , Lena Dyrved , Esther Van Hulten , Masha Kazantseva
Abstract: A computer-implemented method includes a machine learning system receiving distinct types of data associated with multiple individual entities. For each of the individual entities, the machine learning system determines a first attribute that indicates a predicted attribute of the entity based on analysis of the data. The machine learning system also determines a second attribute that indicates a predicted quality attribute of the entity, based on analysis of the data. An attribute weighting module of the machine learning system generates weight values for each of the first attribute and the second attribute of the entity. The machine learning system generates a data structure that identifies a set of entities from among the multiple individual entities, where entities of the set are ranked based on a tier indicator that corresponds to either the first attribute, the second attribute, or both.
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公开(公告)号：US12080387B1
公开(公告)日：2024-09-03
申请号：US17511075
申请日：2021-10-26
Applicant: IQVIA Inc.
Inventor： Katie Shaw , Davie Yang , Leonard Bishop , Kimberly Ray , Timothy Riely , Lucas Glass , Patrick Lample , Susan Warne
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a computing platform that identifies information about a trial program, where the information is related to healthcare data included in datasets, and identifies an investigator based on the information about the trial program. A data analytics model of the platform generates an initial provider score for each provider in a group of providers based on analysis of the information. The analyzed information of the datasets includes healthcare data describing interactions between patients and providers in the group and criteria for the trial program. The platform provides a request to a subset of providers using the initial provider scores. The request is an invitation to for each provider to join a referral network. The platform uses the request to establish referral connections between the trial investigator and a provider in the subset.
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公开(公告)号：US12050974B1
公开(公告)日：2024-07-30
申请号：US18192744
申请日：2023-03-30
Applicant: IQVIA Inc.
Inventor： Mir Tariq
IPC: G06N20/00 , G06F16/22 , G06F16/2455 , G06N5/04
CPC classification number: G06N20/00 , G06F16/22 , G06F16/2455 , G06N5/04
Abstract: A computer-implemented includes a computing system receiving one or more queries. The computing system includes one or more compute nodes that perform computations for determining a response to at least one query. The system stores, in a storage device, domain data that includes at least one of: a dataset, a metric associated with the domain data, a query time, or a usage pattern that is based, in part, on the one or more queries. The method includes the system generating a distribution model based on analysis of the domain data. The distribution model is generated using machine learning logic executed by the system. The method further includes the system using the distribution model to distribute data to the one or more compute nodes. The distributed data is used to determine, within a threshold response time, the response to the at least one query.
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公开(公告)号：USRE49865E1
公开(公告)日：2024-03-05
申请号：US17480921
申请日：2021-09-21
Applicant: IQVIA Inc.
Inventor： Jeremy Grant Docken , David Shoichi Chan
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for linking a first electronic data set to a second set of data fields in a second electronic data set. Automatically identifying a prescribing physician identifier based on the linked first and second electronic data sets. Determining a relationship between a physician associated with the prescribing physician identifier and at least one of the approved entities based on comparing the prescribing physician identifier and identifiers of the one or more approved entities to a fourth set of data fields from a fourth electronic data set. Automatically generating an electronic notification indicating that a product sold by the merchant is eligible for the discount in response to determining a relationship between a physician and the at least one of the approved entities.
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Patent Agency Ranking
公开(公告)号：US20240070054A1
公开(公告)日：2024-02-29
申请号：US18387672
申请日：2023-11-07
Applicant: IQVIA Inc.
Inventor： Pranav P. Chapagain , Massimo Franza , Ramon Eduardo Aldana Borjes
IPC: G06F11/36
CPC classification number: G06F11/3688 , G06F11/3664 , G06F11/3692
Abstract: A requirements to test (R2T) system is implemented, which provides an automated system by which a user interface (UI)-test automation script package is generated and the generated test scripts therein are executed against software. A visualized workflow is translated into some machine-consumable formatted file. The translated workflow is utilized by an artificial intelligence driven automated R2T engine to discover paths through the workflow, a series of executable steps for the paths that detail how the software will be used, and ultimately test scripts that are generated using pre-defined validation templates. An automation platform executes the test scripts through the software associated with the workflow, which automatically captures evidence of the executed test scripts to fulfill computer system validation requirements. The R2T system provides an automated solution for test script creation and system validation to expedite the validation process and thereby streamline a software's time to market.
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公开(公告)号：US20240020547A1
公开(公告)日：2024-01-18
申请号：US17864879
申请日：2022-07-14
Applicant: IQVIA Inc.
CPC classification number: G06N5/022 , G06Q30/0201 , G06Q30/0204
Abstract: A method comprises training an artificial intelligence (AI)/machine-learning (ML) system to identify one or more issues at sites, studies, or customer portfolios. The method also includes applying the trained AI/ML system to identify one or more issues at the sites, studies, or customer portfolios. The method also includes identifying one or more risks from the one or more identified issues at the sites, studies, or customer portfolios by one or more clinical leads. The one or more clinical leads identify a cause for the one or more identified risks among statistical composite risks, investigator risks, monitoring risks, and/or recruitment risks. The method also includes identifying mitigation actions for the one or more identified risks by using insights from past performance. The method also includes applying the mitigation actions onto the one or more identified risks.
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公开(公告)号：US20230409926A1
公开(公告)日：2023-12-21
申请号：US17824351
申请日：2022-05-25
Applicant: IQVIA Inc.
Inventor： Arturo SILVA
IPC: G06N5/02
CPC classification number: G06N5/022
Abstract: Methods and systems to train and use an ensemble of artificial intelligence/machine learning (AI/ML) models to extract information from social determinants of health (SDoH), including training each of multiple dimensionality reduction models to reduce dimensionality of socio-demographic variables associated with a respective one of multiple SDoH categories, training a predictive model to predict a patient behavior for a geographic region (e.g., risk of non-adherence to treatment regimens) based on dimensionally reduced SDoH (alone or in combination with selected socio-demographic variables and/or other data), training a patient classification model to classify patients based on prescription transactions, and/or training a regional similarity model to determine a measure of similarity between geographic regions based on SDoH and/or dimensionally reduced SDoH. Also disclosed are techniques to visually represent outputs of the models on a user-interactive display.
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公开(公告)号：US20230281643A1
公开(公告)日：2023-09-07
申请号：US17683894
申请日：2022-03-01
Applicant: IQVIA Inc.
Inventor： Sourav Dutta , Sunil Kumar Singh , Sriram Subramani , Sunil Sreedharan , Anil Kharde
IPC: G06Q30/02
CPC classification number: G06Q30/0201 , G06Q30/0202
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating models. In some implementations, a system obtains data that comprises promotions and parameters for an opportunity. The system generates transformation spaces based on the promotions and the parameters, wherein each transformation space comprises states, each state is based on the parameters for a particular promotion. The system iterates over a number of iterations. For each transformation space, the system adjusts a state of the transformation space based on actions. The system generates a model by combining each adjusted state. The system generates an entropy for the model. The system compares the entropy to a threshold value, wherein the threshold value corresponds to one of the parameters. In response to determining that the entropy exceeds the threshold value, the system iterates. The system provides the generated model for output.
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公开(公告)号：US20230127903A1
公开(公告)日：2023-04-27
申请号：US17512205
申请日：2021-10-27
Applicant: IQVIA Inc.
Inventor： Hao Ran Laurence Lin , Jonas Renstroem
Abstract: A method includes patient data from a centralized database to identify protocol deviations from the patient data. Natural language processing or machine-learning is performed by a cloud computing server to perform content extraction on the protocol deviations, wherein the content extraction is performed to extract keywords, phrases, and supervised text, wherein the extracted keywords, phrases, and supervised text are used to group the protocol deviations by content. The method also includes reporting, to a user interface, multiple statistical summaries of the protocol deviations, wherein the multiple statistical summaries include a patient, site, study, and country.
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