US 11,721,190 B2
Utilizing artificial intelligence to detect objects or patient safety events in a patient room
Bruce Howard Kusens, North Miami Beach, FL (US); and Michael Kusens, Cooper City, FL (US)
Assigned to Cerner Innovation, Inc., Kansas City, KS (US)
Filed by CERNER INNOVATION, INC., Kansas City, KS (US)
Filed on Jan. 4, 2022, as Appl. No. 17/646,942.
Application 17/646,942 is a continuation of application No. 17/117,414, filed on Dec. 10, 2020, granted, now 11,276,291.
Application 17/117,414 is a continuation of application No. 16/832,790, filed on Mar. 27, 2020, granted, now 10,922,946, issued on Feb. 16, 2021.
Application 16/832,790 is a continuation of application No. 15/856,419, filed on Dec. 28, 2017, granted, now 10,643,446, issued on May 5, 2020.
Prior Publication US 2022/0130225 A1, Apr. 28, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04N 13/204 (2018.01); G08B 21/04 (2006.01); G08B 29/18 (2006.01); G06V 20/52 (2022.01)
CPC G08B 21/0476 (2013.01) [G06V 20/52 (2022.01); G08B 29/185 (2013.01); H04N 13/204 (2018.05)] 17 Claims
OG exemplary drawing
 
1. A system for utilizing artificial intelligence to detect patient safety events for a monitored individual, the system comprising:
one or more motion sensors located to collect a series of images of at least one area associated with a monitored individual;
a computerized patient safety monitoring system communicatively coupled to the one or more motion sensors, the computerized patient safety monitoring system receiving data from the one or more motion sensors and utilizing the data to identify a patient safety event;
a central video monitoring system that:
receives one or more of the series of images of the patient safety event from the computerized patient safety monitoring system; and
upon receiving a confirmation of the patient safety event, creates a recording of the patient safety event prior, during, and after the patient safety event was detected; and
a patient safety learning system that analyzes the data and incorporates the confirmation of the patient safety event.