METHODS AND SYSTEMS FOR MONITORING PATIENT SUPPORT EXITING AND INITIATING RESPONSE

• US 20070132597A1
• Filed: 11/17/2006
• Published: 06/14/2007
• Est. Priority Date: 12/09/2005
• Status: Abandoned Application

• Current Assignee: Bee Cave LLC
• Original Assignee: Valence Broadband, Inc.
• Inventors: Rodgers, Mark
• Application Number:
  US11/561,263
• Publication Number:
  US 20070132597A1
• Time in Patent Office: Days
• US Class Current: 340/573.100
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/1117 Fall detection
• CPC Class Codes: A61B 5/1127 using markers
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/6889 Rooms
• CPC Class Codes: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G08B 21/043 detecting an emergency event, e.g. a fall
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
• CPC Class Codes: G08B 21/0461 integrated or attached to an item closely associated with the person but not worn by the person, e.g. chair, walking stick, bed sensor
• CPC Class Codes: G08B 21/0469 Presence detectors to detect unsafe condition, e.g. infrared sensor, microphone G08B21/0476 takes precedence
• CPC Class Codes: G08B 21/0476 Cameras to detect unsafe condition, e.g. video cameras
• CPC Class Codes: G08B 21/0492 Sensor dual technology, i.e. two or more technologies collaborate to extract unsafe condition, e.g. video tracking and RFID tracking
• CPC Class Codes: G08B 21/22 responsive to presence or absence of persons
• CPC Class Codes: G16H 10/65 : stored on portable record carriers, e.g. on smartcards, RFID tags or CD
• CPC Class Codes: G16H 40/20 : for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 80/00 : ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• CPC Class Codes: H04N 7/141 : between two video terminals, e.g. videophone telephonic communication systems combined with television receiver for reception of entertainment or information matter H04M11/085

Abstract

Methods, systems and computer program products for monitoring patient support exiting and initiating a response to prevent or mitigate harm. One ore more cameras provide a video data stream of a patient resting on a bed, chair, wheelchair, gurney, recliner or other support. A computer system analyses the video data stream and determines the location and/or movements of the patient relative to a fixed reference (e.g., the support). A profile containing personalized support exiting data for the patient is used to accurately predict support exiting. Intervention to prevent or mitigate harm in the event support exiting is detected may include an alarm, audio/visual communication and/or direct physical intervention. Patient profiles can be updated in response to observed behavior to better predict support exiting.

Claims

1. In a facility that includes a plurality of patients, a support upon which each patient rests at least some of the time, and a computer-controlled system for monitoring positions and/or movements of the patients that are predictive of patient support exiting and providing an appropriate response thereto, a method for monitoring a patient while resting on a support and determining whether the patient is likely preparing to exit the support, comprising:

accessing by a computer system a patient profile associated with the patient being monitored from among a plurality of different patient profiles corresponding to different patients, the patient profile including data relating to at least one position and/or movement of the patient that is predictive of support exiting by the patient and that differs from profile data relating to support exiting by at least one other patient;

the computer system generating and/or receiving a data stream representative of one or more positions and/or movements of the patient;

the computer system comparing the data stream representative of one or more positions and/or movements of the patient and comparing it with patient profile data that has been predetermined to be predictive of support exiting by the patient being monitored; and

initiating a response in order to prevent or mitigate harm to the patient upon finding a correlation between the data stream representative of one or more positions and/or movements of the patient and the patient profile data that has been predetermined to be predictive of support exiting by the patient being monitored.

4. A method as defined in claim 1 or 3, the patient profile data of the patient being monitored differing from profile data for at least one other patient with respect to one or more of the following movements relating to potential bed exiting behavior:

(a) movement towards the bottom of a bed;

(b) right side bedrail roll;

(c) left side bedrail roll;

(d) torso angle up and leg swing right;

(e) torso angle up and leg swing left;

(f) torso angle up and upper body roll right; and

/or

(g) torso angle up and upper body roll left.

5. A method as defined in claim 1, the data stream comprising a video data stream generated by at least one camera fixed on the patient while resting on the support.

6. A method as defined in claim 5, the video data stream being generated by a plurality of cameras, at least one of which is positioned so as to provide an aerial view of the patient and support and at least one other of which is positioned so as to provide a side view of the patient and support.

7. A method as defined in claim 5, at least one camera being positioned so as to provide a view of a door or other entrance to where the patient is located.

8. A method as defined in claim 5, at least one camera being positioned near a video monitor that is viewable by the patient, wherein the response includes transmitting an image of a person to the video monitor.

9. A method as defined in claim 1, the data stream being generated by a light beam matrix system comprising a plurality of spaced apart light emitters and corresponding light sensors that are positioned above and beside the patient being monitored.

10. A method as defined in claim 1, the data stream being generated by a small zone RFID grid system comprising a plurality of spaced apart RFID detectors adjacent to the patient being monitored and a plurality of RFID devices worn by the patient.

13. A method as defined in claim 1, the response including transmitting at least a portion of a video stream of the patient to a video monitor at a central station for confirmation or denial by staff of behavior consistent with patient support exiting.

14. A method as defined in claim 13, the confirmation or denial of behavior consistent with patient support exiting being used to update the patient profile in order for the computer system to more accurately determine future support exiting by the patient.

15. A method as defined in claim 13, upon confirming behavior consistent with patient support exiting by a staff member, the response further including establishing two-way audio-video communication between the staff member and the patient.

16. A method as defined in claim 13, upon confirming behavior consistent with patient support exiting, the response further including sending an alert to a caregiver able to provide assistance to the patient.

17. A method as defined in claim 13, in the absence of confirmation or denial of behavior consistent with support exiting within a predetermined time period, the response further including transmitting a pre-recorded message to the patient.

18. A method as defined in claim 13, upon confirming behavior consistent with patient support exiting, the response further including at least one of bed lowering, raising a bedrail, turning on a light, or actuation of a patient restraint device in order to prevent or mitigate potential harm to the patient.

19. A method as defined in claim 13, further comprising providing an alert to the patient that the video data stream is available for viewing by a third party.

20. A method as defined in claim 1 or 2, further comprising the computer receiving and analyzing biometric data relating to the patient.

21. A method as defined in claim 1, the support being selected from a bed, bed with side rails, wheelchair, gurney, couch, chair, or recliner.

22. A system for monitoring one or more positions and/or movements of a patient on a support that are predictive of preparation for patient support exiting and providing an appropriate response thereto comprising means for performing the method of claim 1.

2. In a computer-controlled system for monitoring one or more positions and/or movements of a patient on a support that are predictive of patient support exiting and providing an appropriate response thereto, a method for monitoring the patient while resting on the support and determining whether the patient is likely preparing to exit the support, comprising:

a computer system accessing a patient profile associated with the patient being monitored that includes data relating to at least one position and/or movement of the patient that has been predetermined to be predictive of support exiting by the patient;

the computer system receiving a video data stream of the patient while resting on the support;

the computer system analyzing the video data stream, determining at least one position and/or movement of the patient from the video data stream, and comparing the at least one position and/or movement of the patient determined from the video data stream with patient profile data that has been predetermined to be predictive of support exiting by the patient; and

the computer system initiating a response in order to prevent or mitigate harm to the patient upon finding a correlation between the at least one position and/or movement of the patient determined from the video data stream and the patient profile data.

3. A method as defined in claim 2, the patient profile data relating to predicted support exiting by the patient being monitored differing from patient profile data relating to predicted support exiting by at least one other patient.

11. A method as defined in claim 2 or 5, the video data stream being buffered by the computer system and then deleted from the computer system upon being analyzed in the absence of an archival triggering event in order to preserve patient privacy.

12. A method as defined in claim 11, upon the occurrence of an archival triggering event, the video data stream being archived for later viewing.

23. A computer-program product comprising one or more computer-readable media having stored thereon computer-executable instructions that, when executed by a processor of a computer system, causes the computer system to perform the method of claim 2.

24. In a facility that includes a plurality of patients, supports upon which the patients rest at least some of the time, and a computer-controlled system for monitoring one or more positions and/or movements of each patient that are predictive of patient support exiting and providing an appropriate response thereto, a method for monitoring the plurality of patients while resting on the supports and determining whether one or more of the patients are likely preparing to exit a support, comprising:

inputting into a computer system a plurality of patient profiles that include data relating to at least one position and/or movement of each patient that has been predetermined to be predictive of support exiting by that patient, at least two of the patient profiles differing with respect to data relating to predicted support exiting in order to more accurately distinguish, as between different patients, behavior that is predictive of support exiting from non support exiting behavior;

sending video data streams of two or more patients while resting on respective supports to the computer system;

the computer system analyzing the video data streams, determining at least one position and/or movement of each patient from the video data streams, and comparing the at least one position and/or movement of each patient determined from the video data streams with corresponding patient profile data that has been predetermined to be predictive of support exiting by that patient; and

initiating a response in order to prevent or mitigate harm to a patient upon finding a correlation between the at least one position and/or movement of the patient determined from the video data stream and patient profile data corresponding to the patient.

25. A method as defined in claim 24, the computer system including a facility master computer and a plurality of in room controllers, the facility master computer storing and periodically updating the plurality of patient profiles, the in room controllers being associated with respective rooms containing respective patients being monitored, each in room controller accessing profile data and analyzing a video data stream corresponding to a patient being monitored in a respective room,

27. A patient monitoring system comprising means for performing the method of claim 24 or 26.

26. In a facility that includes a patient, a bed upon which the patient rests at least some of the time, and a computer-controlled system for monitoring one or more positions and/or movements of the patient that are predictive of patient bed exiting and providing an appropriate response thereto, a method for monitoring the patient while resting on the bed and determining whether the patient is likely preparing to exit the bed, comprising:

inputting into a computer system a patient profile associated with the patient being monitored that includes data relating to one or more of the following movements that are predictive of potential bed exiting by the patient;

(a) movement towards the bottom of a bed;

(b) right side bedrail roll;

(c) left side bedrail roll;

(d) torso angle up and leg swing right;

(e) torso angle up and leg swing left;

(f) torso angle up and upper body roll right; and

/or

(g) torso angle up and upper body roll left;

sending a video data stream of the patient while resting on the bed to a computer system;

the computer system analyzing the video data stream, determining at least one movement of the patient from the video data stream, and comparing the at least one movement of the patient determined from the video data stream with one or more movements in the patient profile; and

initiating a response in order to prevent or mitigate harm to the patient upon finding a correlation between the at least one movement of the patient determined from the video data and the one or more movements in the patient profile.