US 12,008,880 B2Granted

Utilizing artificial intelligence to detect objects or patient safety events in a patient room

AssigneeCerner Innovation, Inc.

InventorsBruce Howard Kusens, Michael Kusens

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Abstract

Methods and systems are provided for detecting objects or patient safety events in a patient room. Artificial intelligence is utilized to enhance safety issue recognition capabilities by the methods and systems. Sensors collect a series of images and depth data in a room of a patient. Data (corresponding to images and depth data of an object or patent safety event) is received from the sensors and compared to stored data to identify the object or patient safety event. The images are communicated to a central video monitoring system and a user may be prompted to confirm if the object requires learning or a patient safety event occurred (or identify the object or patient safety event) or to provide additional parameters or actions. A patient safety learning system analyzes the data and incorporates the user response to enhance safety issue recognition capabilities of the system and reduce false alerts.

Claims17

Dependent claims

A method comprising:

collecting images of a scene including at least one object;
detecting the at least one object within at least one image of the images, wherein the at least one object is detected by comparing one or more features of the at least one object to one or more reference features;
in response to detecting that the at least one object is within the at least one image, presenting the at least one object in a graphical user interface;
receiving an indication that the at least one object has been selected in the graphical user interface;
in response to receiving the indication that the at least one object has been selected, updating a machine learning model using the one or more features of the at least one object, the updated machine learning model configured to predict that an event has occurred in the scene;
detecting that an event has occurred within the scene;
in response to detecting that the event has occurred, presenting information associated with the event in the graphical user interface;
receiving an indication that the event has been confirmed in the graphical user interface;
and
in response to receiving the indication that the event has been confirmed, further updating the updated machine learning model.

7 more elements

One or more non-transitory computer-readable media storing computer-readable instructions that, when executed by a processing system, cause a system to perform operations comprising:

collecting images of a scene including at least one object;
detecting that at least one object within at least one image of the images, wherein the at least one object is detected by comparing one or more features of the at least one object to one or more reference features;
in response to detecting that the at least one object is within the at least one image, presenting the at least one object in a graphical user interface;
receiving an indication that the at least one object has been selected in the graphical user interface;
in response to receiving the indication that the at least one object has been selected, updating a machine learning model using the one or more features of the at least one object, the updated machine learning model configured to predict that an event has occurred in the scene;
detecting that an event has occurred within the scene;
in response to detecting that the event has occurred, presenting information associated with the event in the graphical user interface;
receiving an indication that the event has been confirmed in the graphical user interface;
and
in response to receiving the indication that the event has been confirmed, further updating the updated machine learning model.

7 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/314,502Filed 9 May 2023 · continuation
Priority: 28 Dec 2017
Published: US 2023/0282090 A17 Sep 2023
Granted: 11 Jun 2024
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G08B 21/0476
Sensor means for detecting: cameras to detect unsafe condition, e.g. video cameras
G08B 25/08
Characterised by the transmission medium: using communication transmission lines
G06V 20/52
Context or environment of the image: surveillance or monitoring of activities, e.g. for recognising suspicious objects
G08B 29/185
Prevention or correction of operating errors: signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability…

Family

Application15/856,419Parent of this continuation · filed 28 Dec 2017
Application16/832,790Parent of this continuation · filed 27 Mar 2020
US 10,643,446 B2Parent of this continuation · filed 5 May 2020
Application17/117,414Parent of this continuation · filed 10 Dec 2020
US 10,922,946 B2Parent of this continuation · filed 16 Feb 2021
Application17/646,942Parent of this continuation · filed 4 Jan 2022
US 11,276,291 B2Parent of this continuation · filed 15 Mar 2022
US 2023/0282090 A1Pre-grant publication · published 7 Sep 2023
US 11,721,190 B2Parent of this continuation
US 2019/0206218 A1Published application
US 2020/0226905 A1Published application
US 2021/0090420 A1Published application
US 2022/0130225 A1Published application
US 12,008,880 B2This patent

From the US filing history. Foreign family members aren’t listed.

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