Technologies for medical device usage tracking and analysis

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