CMR Surgical has filed a patent for a surgical robotic system that includes a user interface console, a data logger, a portable user terminal, and a camera. The system allows for the logging of data from surgical procedures and the identification of users involved in the procedures. The patent also describes a method for analyzing the performance of the surgical robot based on the logged data and selectively reporting the performance indicator to the relevant user. GlobalData’s report on CMR Surgical gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on CMR Surgical, Surgical robots was a key innovation area identified from patents. CMR Surgical's grant share as of September 2023 was 38%. Grant share is based on the ratio of number of grants to total number of patents.
The patent filed is for a surgical robotic system
A recently filed patent (Publication Number: US20230277265A1) describes a method for analyzing the performance of a surgical robotic system. The method involves performing a surgical procedure using a surgical robot and measuring the state of the robot at multiple times during the procedure. The measured data is stored, along with information about the user involved in the procedure and their role. A dataset defining a set of metrics is also stored, with each metric indicating specific states of the robot and their associated roles.
The method then applies one of the metrics to the stored data by identifying the relevant states of the robot and deriving an indicator of performance. This indicator is selectively reported to the user who had the indicated role in the procedure. The reporting can be prioritized for certain users or blocked for others, depending on their roles.
In some embodiments, the analysis and reporting are performed at a server, with the indicator of performance being received and displayed on a mobile user terminal associated with the user.
The patent also describes additional features, such as using machine-readable codes to identify users and procedures, capturing images of these codes, and analyzing them to determine user identities and roles. The metrics defined in the dataset can include factors such as the number of end effector changes, time gaps between instrument withdrawal and reinsertion, number of sutures performed, and total distance moved by the robot's end effector.
Overall, this patent presents a method for analyzing and reporting the performance of a surgical robotic system based on measured data and predefined metrics. The method aims to provide valuable feedback to users involved in the procedures, allowing for performance improvement and optimization.
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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.
