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

1. A system for utilizing artificial intelligence to detect patient safety events in a patient room, the system comprising:

one or more motion sensors located to collect a series of images of a room of a patient;

a computerized patient safety monitoring system communicatively coupled to the one or more motion sensors, the computerized monitoring system receiving data from the one or more motion sensors and comparing the data to stored data in a database 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 whether the patient safety event occurred; and

upon receiving an indication that the patient safety event occurred, 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 whether the patient safety event occurred to enhance safety issue recognition capabilities of the system and reduce false alerts.

2. The system of claim 1 , wherein if the patient safety event occurred, 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 , further comprising the database that stores new or modified lessons learned by the patient safety learning system.

5. The system of claim 1 , wherein the central video monitoring system further prompts the user to add additional parameters to the patient safety event.

6. 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.

7. Computer-readable storage media having embodied thereon instructions which, when executed by one or more computer processors, cause the processors to:

utilize one or more motion sensors to collect a series of images of an area associated with a monitored individual;

receive 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;

utilize the data from the one or more motion sensors to identify a patient safety event;

communicate, to a central video monitoring system, one or more of the series of images of the patient safety event from the computerized patient safety monitoring system;

receive an indication that the patient safety event occurred;

upon receiving the indication that the patient safety event occurred, create a recording of the patient safety event prior to, during, and after the patient safety event was detected; and

analyze, by a patient safety learning system, the data.

8. The computer-readable storage media of claim 7 , further comprising communicating the recording to the patient safety learning system along with the patient safety event and additional parameters added by the user.

9. The computer-readable storage media of claim 7 , further comprising storing, by a database, new or modified lessons learned by the patient safety learning system.

10. The computer-readable storage media of claim 7 , further comprising prompting, by the central video monitoring system, the user to add additional parameters to the patient safety event.

11. The computer-readable storage media of claim 7 , further comprising, if no patient safety event is detected, 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.

12. 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 identify the patient safety event occurred and to add additional parameters to the patient safety event;

upon receiving an indication that the patient safety event occurred, creating a recording of the one or more of the series of images object prior to, during, and after detection of the patient safety event; and

analyzing, by a patient safety learning system, the data and incorporating the identification of the patient safety event that occurred.

13. The method of claim 12 , further comprising communicating the recording to the patient safety learning system along with the identification of the patient safety event and the additional parameters added by the user.

14. The method of claim 12 , further comprising storing, by a database, new or modified lessons learned by the patient safety learning system.

15. The method of claim 12 , 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.

16. The method of claim 12 , wherein the monitored individual is represented using skeletal tracking.

17. The method of claim 12 , wherein the at least one area to be monitored is a residential environment.