Utilizing artificial intelligence to detect objects or patient safety events in a patient room
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 patient 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.
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;
prompts a user to confirm the patient safety event; 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.
2. The system of claim 1 , wherein if the patient safety event is confirmed, the central video monitoring system creates the recording of the patient safety event prior to using data buffering.
3. The system of claim 1 , wherein the recording is communicated to the patient safety learning system along with the patient safety event and additional parameters added by the user.
4. The system of claim 1 , wherein the central video monitoring system further prompts the user to add additional parameters to the patient safety event.
5. The system of claim 1 , wherein if no patient safety event is detected, the computerized patient safety monitoring system communicates live images of the data to the central video monitoring system for the user to view.
6. The system of claim 1 , wherein the monitored individual is represented using skeletal tracking.
7. A method for utilizing artificial intelligence to detect patient safety events for a monitored individual, the method comprising:
utilizing one or more motion sensors to collect a series of images of at least one area associated with a monitored individual;
receiving data from the one or more motion sensors at a computerized patient safety monitoring system, the computerized patient safety monitoring system communicatively coupled to the one or more motion sensors;
receiving, by a central video monitoring system, one or more of the series of images of a patient safety event from the computerized patient safety monitoring system;
enabling, at the central video monitoring system, a user to confirm the patient safety event;
upon receiving a confirmation of the patient safety event, creating a recording of the one or more of the series of images prior to, during, and after detection of the patient safety event; and
analyzing, by a patient safety learning system, the data and incorporating the confirmation of the patient safety event that occurred.
8. The method of claim 7 , further comprising communicating the recording to the patient safety learning system along with the identification of the patient safety event and any additional parameters added by the user.
9. The method of claim 7 , further comprising storing, by a database, new or modified lessons learned by the patient safety learning system.
10. The method of claim 7 , further comprising, if no patient safety event is identified by the user, communicating, by the computerized patient safety monitoring system, the series of images of the data to the central video monitoring system for the user to view, wherein the series of images are live images.
11. The method of claim 7 , wherein the monitored individual is represented using skeletal tracking.
12. The method of claim 7 , wherein the at least one area to be monitored is a residential environment.
13. A method for utilizing artificial intelligence to detect patient safety events for a monitored individual, the method comprising:
utilizing one or more motion sensors to collect a series of images of at least one area associated with a monitored individual, wherein the monitored individual is represented using skeletal tracking;
receiving data from the one or more motion sensors at a computerized patient safety monitoring system, the computerized patient safety monitoring system communicatively coupled to the one or more motion sensors;
receiving, by a central video monitoring system, one or more of the series of images of a patient safety event from the computerized patient safety monitoring system;
receiving, at the central video monitoring system, a confirmation of the patient safety event;
upon receiving the confirmation of the patient safety event, creating a recording of the one or more of the series of images prior to, during, and after detection of the patient safety event; and
analyzing, by a patient safety learning system, the data and incorporating the confirmation of the patient safety event.
14. The method of claim 13 , wherein the at least one area to be monitored is a residential environment.
15. The method of claim 13 , further comprising storing, by a database, new or modified lessons learned by the patient safety learning system.
16. The method of claim 13 , further comprising communicating the recording to the patient safety learning system.
17. The method of claim 16 , further comprising communicating the identification of the patient safety event and any additional parameters added by a user to the patient safety learning system.