Technologies for medical device usage tracking and analysis
Summary
USPTO granted patent US12597510B2 to DePuy Synthes Products, Inc. on April 7, 2026, covering a system for medical device usage monitoring using capture devices, base stations with machine learning models, and analytics servers to track and analyze medical device usage in operating rooms. The patent includes 11 claims related to computer vision-based medical device recognition and usage analytics.
What changed
USPTO has granted patent US12597510B2 to DePuy Synthes Products, Inc. for a system that monitors medical device usage in operating rooms using image capture devices, base stations with trained machine learning models for device recognition, and analytics servers for usage data generation. The system employs trained machine learning models to recognize medical devices in captured image data and generate analytical usage data over time.
This patent grant affects medical device manufacturers and healthcare technology companies developing tracking or analytics solutions. Competitors developing similar computer vision-based medical device monitoring systems should review the patent claims for potential licensing requirements or design-around considerations. The patent covers systems and methods for inferring and analyzing medical device usage patterns in clinical settings.
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Apr 7, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Technologies for medical device usage tracking and analysis
Grant US12597510B2 Kind: B2 Apr 07, 2026
Assignee
DePuy Synthes Products, Inc.
Inventors
Timothy W. Rodts, Julio Guerrero, Stephen A. Kramer
Abstract
A system for medical device usage monitoring includes one or more capture devices, one or more base station devices, and an analytics server. The capture devices each capture image data indicative of a monitored location at a timestamp in an operating room and transmit the image data to a base station device. Each base station device recognizes medical devices in the image capture data with a trained machine learning model and transmits recognition data to the analytics server. The analytics server generates medical device usage data over time based on the recognition data. The analytics server may infer usage based on the recognition data. The analytics server may analyze the medical device usage data and generate analytical usage data. Methods associated with the system are also disclosed.
CPC Classifications
G16H 40/20 G06V 10/12 G06V 20/70 G06V 20/52 G06V 10/95 G06V 2201/034
Filing Date
2023-02-02
Application No.
18105015
Claims
11
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