IQVIA‘s patent involves a method using deep learning to identify influential entities in a physician network. By analyzing peer influence and control factors, the technology aims to optimize information diffusion and product distribution among physicians. GlobalData’s report on IQVIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on IQVIA, was a key innovation area identified from patents. IQVIA's grant share as of February 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.
Method for identifying influential physicians in a network
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A recently granted patent (Publication Number: US11923074B2) outlines a method that involves generating a multi-relational network of physicians based on peer network data, where each link represents one physician influencing another with a specific weight of influence. Using a deep learning engine, the method decomposes treatment decisions made by physicians into peer influence and control factor influence, considering environmental and patient factors. By training the model with patient data, the system identifies factors affecting treatment decisions and projects them into a smaller dimensional space for analysis. The method further involves distributing peer influence among physicians to optimize information diffusion and product adoption within the network.
Additionally, the patent describes a system and a non-transitory computer-readable medium implementing the method outlined above. The system includes a processing device and memory to generate the multi-relational network, decompose treatment decisions, and optimize information diffusion among physicians. The computer-readable medium stores instructions for executing the method, including identifying missing links among physicians, training the deep learning model, and determining roles for each physician in the network based on their influence. Overall, the patent presents a comprehensive approach to understanding and leveraging peer influence in medical decision-making, utilizing deep learning techniques to optimize information dissemination and product adoption among physicians within a network structure.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies
