Koninklijke Philips had one patents in blockchain during Q4 2023. The patent filed by Koninklijke Philips NV in Q4 2023 is for a health database system that receives health data and medical updates from various sources, determines relevance for the patient, and stores the updates in a patient-specific database. GlobalData’s report on Koninklijke Philips gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Koninklijke Philips grant share with blockchain as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Health database updating (Patent ID: US20230386625A1)

The patent filed by Koninklijke Philips NV describes a health database system that receives health data and medical updates from various sources, determines the relevance of the updates for a specific patient, and stores them in a database associated with that patient. The system includes a processor for this determination and a database storage for storing the data. The medical updates can include care procedures and health data, with the system capable of verifying the relevance of updates based on stored information and executing functions to match versions or assess differences in protocols for diagnosis.

Additionally, the system can compute risk scores for patients based on received data and care procedures, updating the scores accordingly and issuing warnings if the risk exceeds a predetermined threshold. The database storage can include electronic medical records, health records, and personal health records, storing various clinical information such as diagnoses, test results, medical images, genomic data, and vital signs. The system can also store care procedures and their application to patients, as well as treatment steps taken for patients based on these procedures. Furthermore, the system can utilize distributed ledgers for storing health data and care procedures, calculate patient risk values to determine evaluation frequencies, and resolve dependencies between different medical information entries.

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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.