Scientific Clinical Diffusion Network
Summary
USPTO granted patent US12603185B1 to IQVIA Inc. covering methods and systems for generating heterogeneous networks that connect clinical healthcare provider networks with scientific researcher networks. The patent includes 20 claims and covers techniques for predicting cross-network links and identifying clinical and scientific leaders through graph-based analysis. The invention applies to health informatics analytics platforms that integrate clinical and scientific evidence.
What changed
USPTO granted patent US12603185B1 titled 'Scientific Clinical Diffusion Network' to IQVIA Inc. The patent covers computer-implemented methods and systems for generating heterogeneous networks by obtaining clinical data from healthcare provider networks and scientific data from researcher networks, then generating graph representations and predicting cross-network links. The patent identifies clinical leaders and scientific leaders as target nodes within the respective networks.
This patent grant affects manufacturers developing health informatics technology and healthcare providers using analytics platforms that integrate clinical and scientific evidence networks. The intellectual property rights granted to IQVIA create competitive advantages in the health informatics sector and may influence how clinical data analytics solutions are developed and marketed.
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Apr 17, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Scientific clinical diffusion network
Grant US12603185B1 Kind: B1 Apr 14, 2026
Assignee
IQVIA INC.
Inventors
Yanping Liu, Steve Eichert, Yong Cai, Vishwaraj Dilesh Doshi, Tong Wu, Emily Zhao
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a heterogenous network and determining diffusion weights of scientific evidence in the heterogenous network. The computer obtains clinical data associated with a clinical network of healthcare providers and scientific data associated with a scientific network of scientists. The computer generates a first graph network representing the clinical network and a second graph network representing the scientific network. The computer identifies a first set of target nodes in the first graph network representing clinical leaders, and a second set of target nodes in the second graph network representing scientific leaders. The computer predicts links connecting the first graph network to the second graph network and generates a heterogenous network with nodes from the first graph network and from the second graph network, and the links connecting the first graph network to the second graph network.
CPC Classifications
G16H 50/70 G16H 10/60
Filing Date
2024-07-19
Application No.
18778330
Claims
20
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