Koninklijke Philips had two patents in cloud during Q4 2023. The patent filed by Koninklijke Philips NV in Q4 2023 describes a method for a computing device to process patient data workflows and events from a patient management application using ETL pipelines, enabling visualization of patient data and metrics. GlobalData’s report on Koninklijke Philips gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Koninklijke Philips grant share with cloud 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: System for automated extraction of analytical insights from an integrated lung nodule patient management application (Patent ID: US20230367784A1)
The patent filed by Koninklijke Philips NV describes a method executed by a computing device with an analytics application used alongside a patient management application. The method involves receiving patient data workflows and events, processing them selectively through ETL pipelines triggered by workflow points, and loading the processed data into an analytics structure for visualization of patient data and derived metrics. The system focuses on managing patient data related to lung cancer screening and pulmonary findings, transforming select data into key performance indicators, and monitoring workflows for bottlenecks or non-compliance.
The method outlined in the patent involves a computing device executing an analytics application in conjunction with a patient management application, receiving patient data workflows, selectively processing them through ETL pipelines triggered by workflow points, and loading the processed data into an analytics structure for visualization. The system is specifically tailored for managing lung cancer screening and pulmonary findings data, transforming data into key performance indicators, and monitoring workflows for bottlenecks or non-compliance. The method also includes alerting and intervention triggers based on workflow limits and non-compliance, showcasing a comprehensive approach to patient data management and analytics.
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