METHOD AND SYSTEM FOR FAIL-PROOF PATIENT MONITORING

• US 20150182174A1
• Filed: 02/07/2014
• Published: 07/02/2015
• Est. Priority Date: 12/27/2013
• Status: Active Grant

• Current Assignee: Wipro Limited
• Original Assignee: Wipro Limited
• Inventors: Rath, Satish Prasad
• Granted Patent: US 9,380,983 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0276 Determining malfunction
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

This disclosure relates generally to patient monitoring techniques, and more specifically to a method and a system to reduce false alarms generated by the patient monitoring system, the false alarms being associated with clinical condition of the patient. Disclosed herein is a patient monitoring method that includes monitoring one or more clinical parameters associated with condition of a patient, identifying a clinical condition based on deviation of the monitored one or more clinical parameters from corresponding one or more first predefined criteria, determining a status associated with one or more devices that monitor the deviated one or more clinical parameters, and generating a clinical alert based on the determined status not indicating an error by the one or more devices.

Claims

1. A patient monitoring method, the method comprising:

monitoring, by a patient monitoring apparatus, one or more clinical parameters associated with condition of a patient;

identifying, by the patient monitoring apparatus, a clinical condition based on deviation of the monitored one or more clinical parameters from corresponding one or more first predefined criteria;

determining, by the patient monitoring apparatus, a status associated with one or more devices that monitor the deviated one or more clinical parameters; and

generating, by the patient monitoring apparatus, a clinical alert based on the determined status not indicating an error by the one or more devices.

2. The method of claim 1, further comprising generating, by the patient monitoring apparatus, a machine alert based on the determined status indicating the error by the one or more devices.

3. The method of claim 2, wherein the clinical alert and the machine alert are represented visually and are different from each other.

4. The method of claim 2, further comprising monitoring, by the patient monitoring apparatus, one or more machine parameters associated with operation of the one or more devices.

5. The method of claim 4, wherein the determined status indicating the error by the one or more devices is based on deviation of the monitored one or more machine parameters from one or more second predefined criteria.

6. The method of claim 1, wherein the one or more clinical parameters comprise blood pressure, electrocardiography, heart rate, respiration rate, and body temperature.

7. The method of claim 4, wherein the one or more machine parameters comprise electrical contacts, battery in the one or more devices, signal to noise (SNR) ratio, and connectivity.

8. A patient monitoring system, the system comprising:

at least one processor;

at least one memory coupled to the at least one processor, the at least one memory storing processor executable instructions which when executed by the at least one processor causes the at least one processor to;

instruct each of one or more devices, in communication with the processor, to monitor an associated clinical parameter;

identify a clinical condition of a patient based on deviation of the monitored one or more clinical parameters from a corresponding one or more first predefined criteria;

determine a status associated with each of the one or more devices monitoring the deviated one or more clinical parameters; and

generate a clinical alert based on the status not indicating an error by the one or more devices.

9. The system of claim 8, wherein a machine alert is generated based on the status indicating the error by the one or more devices.

10. The system of claim 9, wherein the clinical alert and the machine alert are represented visually and are different from each other.

11. The system of claim 10, wherein the clinical alert and the machine alert are displayed on a display.

12. The system of claim 9, wherein the status indicating the error by the one or more devices is based on deviation of one or more machine parameters from a corresponding one or more second predefined criteria associated with operation of the one or more devices.

13. The system of claim 12, wherein the memory stores the one or more first predefined criteria and the one or more second predefined criteria.

14. The system of claim 8, wherein the one or more clinical parameters comprise blood pressure, electrocardiography, heart rate, respiration rate, and body temperature.

15. The system of claim 12, wherein the one or more machine parameters comprise electrical contacts, battery in the one or more devices, signal to noise (SNR) ratio, and connectivity.

16. A non-transitory computer readable medium having stored thereon instructions for monitoring a patient comprising executable code which when executed by a processor, causes the processor to perform steps:

monitoring, by a patient monitoring apparatus, one or more clinical parameters associated with condition of a patient;

identifying, by the patient monitoring apparatus, a clinical condition based on deviation of the monitored one or more clinical parameters from corresponding one or more first predefined criteria;

determining, by the patient monitoring apparatus, a status associated with one or more devices that monitor the deviated one or more clinical parameters; and

generating, by the patient monitoring apparatus, a clinical alert based on the determined status not indicating an error by the one or more devices.

17. The medium of claim 16, further comprising generating, by the patient monitoring apparatus, a machine alert based on the determined status indicating the error by the one or more devices.

18. The medium of claim 17, wherein the clinical alert and the machine alert are represented visually and are different from each other.

19. The medium of claim 17, further comprising monitoring, by the patient monitoring apparatus, one or more machine parameters associated with operation of the one or more devices.

20. The medium of claim 19, wherein the determined status indicating the error by the one or more devices is based on deviation of the monitored one or more machine parameters from one or more second predefined criteria.

21. The medium of claim 16, wherein the one or more clinical parameters comprise blood pressure, electrocardiography, heart rate, respiration rate, and body temperature.

22. The medium of claim 19, wherein the one or more machine parameters comprise electrical contacts, battery in the one or more devices, signal to noise (SNR) ratio, and connectivity.