Koninklijke Philips had one patents in edtech during Q1 2024. The patent filed by Koninklijke Philips NV in Q1 2024 involves tracking and analyzing clinical activity data of medical professionals and maintenance activity data of servicing personnel related to medical devices. The system predicts future activities based on this data and calculates metrics to assess knowledge and experience. It then recommends educational content units to refresh knowledge based on these metrics. 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 edtech as a theme in Q1 2024.
Recent Patents
Application: Systems and methods to reinforce learning based on historical practice (Patent ID: US20240013665A1)
The patent filed by Koninklijke Philips NV involves a system that tracks the consumption of educational content units related to medical devices by medical professionals or maintenance personnel. Based on this data, future clinical or maintenance activities are predicted, and metrics related to knowledge and experience are calculated for a future time. These metrics are used to recommend refreshment educational content units to enhance the professional's skills and expertise. The system aims to improve the quality of clinical activities and maintenance services by ensuring professionals are up-to-date with relevant knowledge and experience.
The patent also includes methods for calculating knowledge and experience metrics, predicting future activities based on various factors like schedules and performance statistics, and recommending educational content units to professionals before their knowledge or experience erodes. By utilizing databases to store activity data and educational content units, the system ensures timely access to relevant information for medical professionals and maintenance personnel. Overall, the patent focuses on enhancing the skills and expertise of professionals in the medical field through personalized educational content recommendations based on their tracked activities and predicted future tasks.
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