Systems and methods for detecting attempted bed exit
Systems and methods for identifying someone intending to leave a bed or chair generally before or shortly after the bed or chair is exited. These can allow intervention where necessary to prevent some falls before they occur. The systems and methods typically collect and aggregate real-time patient data to detect “attempted bed exits”—attempts made by a patient which indicate that the patient may be attempting to leave the bed or chair and, determine their risk for falling. Where done in real time, a patient making an “attempt” to exit can be stopped before or shortly after an actual exit is made, permitting staff to assist with, or prevent, the exit as necessary.
1. A system for determining the risk of a patient falling after exiting a bed, the system comprising:
a bed including a bed sensor therein for monitoring a bed that is occupied by a patient;
a depth camera for imaging said patient; and
a computer running appropriate software to:
determine movement specifics of how said patient moves immediately prior to exiting said bed from both said bed sensor and said depth camera, said movement specifics including at least an amount of time it takes said patient to go from a prone to a sitting position obtained from at least one of said bed sensor or said depth camera;
based on said movement specifics, evaluate a patient's instantaneous risk of falling after exiting said bed; and
if said instantaneous risk is sufficiently high, issuing an alert for said patient.
2. The system of claim 1 , wherein said computer obtains from said bed sensor at least on of said patient's current heart rate, respiration, or body temperature.
3. The system of claim 1 , wherein said computer determines from said depth camera if an assistive device of said patient is within reach of said patient.
4. The system of claim 1 , wherein said computer determines from said depth camera if said patient is connected to an IV line.
5. The system of claim 1 , wherein said computer compares data from said bed sensor to historical data for said patient.
6. The system of claim 1 , wherein said computer compares data from said depth camera to historical data for said patient.
7. The system of claim 6 wherein said historical data was generated from said patient previously walking before entering said bed.
8. The system of claim 1 , wherein said computer compares data from said bed sensor to data for patients who previously fell.
9. The system of claim 1 , wherein said computer compares data from said depth camera to data for patients who previously fell.
10. The system of claim 1 , wherein said computer evaluates data from said depth camera to determine said patient's walking speed.
11. The system of claim 1 , wherein said computer evaluates data from said depth camera to determine said patient's gait while walking.
12. The system of claim 1 wherein said alert is made to medical personnel caring for said patient.
13. The system of claim 1 wherein said alert is made to said patient.
14. A system for determining the risk of a patient falling after exiting a bed, the system comprising:
a bed including a bed sensor therein for monitoring a bed that is occupied by a patient;
a depth camera for imaging said patient; and
a computer running appropriate software to:
determine movement specifics of how said patient moves immediately prior to exiting said bed from both said bed sensor and said depth camera, said movement specifics including at least an amount of time it takes said patient to go from a sitting to a standing position obtained from at least one of said bed sensor or said depth camera;
based on said movement specifics, evaluate a patient's instantaneous risk of falling after exiting said bed; and
if said instantaneous risk is sufficiently high, issuing an alert for said patient.
15. The system of claim 14 , wherein said computer obtains from said bed sensor at least on of said patient's current heart rate, respiration, or body temperature.
16. The system of claim 14 , wherein said computer determines from said depth camera if an assistive device of said patient is within reach of said patient.
17. The system of claim 14 , wherein said computer determines from said depth camera if said patient is connected to an IV line.
18. The system of claim 14 , wherein said computer compares data from said bed sensor to historical data for said patient.
19. The system of claim 14 , wherein said computer compares data from said depth camera to historical data for said patient.
20. The system of claim 19 , wherein said historical data was generated from said patient previously walking before entering said bed.
21. The system of claim 14 , wherein said computer compares data from said bed sensor to data for patients who previously fell.
22. The system of claim 14 , wherein said computer compares data from said depth camera to data for patients who previously fell.
23. The system of claim 14 , wherein said computer evaluates data from said depth camera to determine said patient's walking speed.
24. The system of claim 14 , wherein said computer evaluates data from said depth camera to determine said patient's gait while walking.
25. The system of claim 14 , wherein said alert is made to medical personnel caring for said patient.
26. The system of claim 14 , wherein said alert is made to said patient.