Koninklijke Philips had 13 patents in big data during Q2 2024. The patents filed by Koninklijke Philips NV in Q2 2024 include methods for providing personalized care programs for patients based on virtual readiness profiles, establishing real-time communication paths between subjects and medical devices, modifying medical image data to a common reference across different devices, determining baseline creatinine values for subjects using trained models, and material decomposition of spectral imaging projection data to reduce noise and obtain accurate estimates. GlobalData’s report on Koninklijke Philips gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Koninklijke Philips had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: System and method to assess and enhance a patient's virtual care readiness (Patent ID: US20240212856A1)
The patent filed by Koninklijke Philips NV describes a method and system for providing a care program for a patient by receiving data from various sources, determining a virtual readiness profile for the patient based on the data, and then determining and providing care elements to the patient or caregiver. The method involves utilizing a trained neural network to create the virtual readiness profile and may include both virtual and non-virtual care elements.
The system outlined in the patent includes modules for data ingestion, data analysis, and care decision, with the data analysis module utilizing a trained neural network to create a virtual care readiness profile of the patient. The virtual care readiness profile can be a single or multi-dimensional representation of the patient and may include a virtual readiness score. This system aims to assess the patient's readiness for virtual care and provide appropriate care elements for a personalized care program.
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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 across the world’s largest industries.
