Stryker had 17 patents in future of work during Q4 2023. Stryker Corp filed patents in Q4 2023 for improving surgical safety through automated detection of non-compliance to surgical protocols in operating rooms using machine-learning models. Another patent is for a control console for a powered surgical tool with a transformer, linear amplifier, and active resistors for regulating feedback voltages. GlobalData’s report on Stryker gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Stryker grant share with future of work as a theme is 76% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for non-compliance detection in a surgical environment (Patent ID: US20230402167A1)
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The patent filed by Stryker Corp. describes a method for automated detection of non-compliance to surgical protocols in an operating room using machine-learning models. The method involves receiving images of the operating room, detecting surgical milestones and activities, and determining instances of non-compliance based on the detected activities and associated surgical protocols. The system includes processors, memory, and programs for executing the method, while a computer-readable storage medium stores the programs for determining non-compliance.
The method further includes determining severity levels of non-compliance, generating alerts based on predefined thresholds, calculating audit scores for surgeries, identifying changes to surgical protocols, recommending retraining based on instances of non-compliance, and determining recommendations based on the identity or function of individuals involved. The trained machine-learning models detect various activities and objects in the operating room, such as linen changing, cleaning, disinfecting, equipment usage, staff attire, and patient preparation. Additionally, the method calculates ratios between medical staff and patients, tracks objects like surgical tables and lights, and determines surgical milestones based on detected objects or events. The system and computer-readable storage medium provide the infrastructure for implementing the automated detection method in an operating room setting.
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