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.
CLIAMS:We claim:
1. A patient monitoring method, the method comprising:
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.
2. The method of claim 1, further comprising generating 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 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.
Dated this 27th day of December, 2013
Madhusudan S.T.
Of K&S Partners
Attorney for the Applicant
,TagSPECI:TECHNICAL FIELD
This disclosure relates generally to patient monitoring techniques, and more specifically to a method and system to reduce false clinical alerts triggered by the patient monitoring system, the false clinical alerts being associated with a clinical condition of a patient.
| Section | Controller | Decision Date |
|---|---|---|
| # | Name | Date |
|---|---|---|
| 1 | 6130-CHE-2013-IntimationOfGrant05-09-2022.pdf | 2022-09-05 |
| 1 | Form-9(Online).pdf | 2013-12-30 |
| 2 | 6130-CHE-2013-PatentCertificate05-09-2022.pdf | 2022-09-05 |
| 2 | IP25910-SPEC.pdf | 2013-12-31 |
| 3 | IP25910-FIG.pdf | 2013-12-31 |
| 3 | 6130-CHE-2013-PETITION UNDER RULE 137 [23-03-2022(online)].pdf | 2022-03-23 |
| 4 | FORM 5.pdf | 2013-12-31 |
| 4 | 6130-CHE-2013-Written submissions and relevant documents [23-03-2022(online)].pdf | 2022-03-23 |
| 5 | FORM 3.pdf | 2013-12-31 |
| 5 | 6130-CHE-2013-AMENDED DOCUMENTS [28-02-2022(online)].pdf | 2022-02-28 |
| 6 | 6130-CHE-2013-FER.pdf | 2019-10-09 |
| 6 | 6130-CHE-2013-Correspondence to notify the Controller [28-02-2022(online)].pdf | 2022-02-28 |
| 7 | 6130-CHE-2013-OTHERS [08-04-2020(online)].pdf | 2020-04-08 |
| 7 | 6130-CHE-2013-FORM 13 [28-02-2022(online)].pdf | 2022-02-28 |
| 8 | 6130-CHE-2013-POA [28-02-2022(online)].pdf | 2022-02-28 |
| 8 | 6130-CHE-2013-Information under section 8(2) [08-04-2020(online)].pdf | 2020-04-08 |
| 9 | 6130-CHE-2013-FORM 3 [08-04-2020(online)].pdf | 2020-04-08 |
| 9 | 6130-CHE-2013-US(14)-HearingNotice-(HearingDate-08-03-2022).pdf | 2022-02-14 |
| 10 | 6130-CHE-2013-ABSTRACT [08-04-2020(online)].pdf | 2020-04-08 |
| 10 | 6130-CHE-2013-FER_SER_REPLY [08-04-2020(online)].pdf | 2020-04-08 |
| 11 | 6130-CHE-2013-CLAIMS [08-04-2020(online)].pdf | 2020-04-08 |
| 11 | 6130-CHE-2013-DRAWING [08-04-2020(online)].pdf | 2020-04-08 |
| 12 | 6130-CHE-2013-COMPLETE SPECIFICATION [08-04-2020(online)].pdf | 2020-04-08 |
| 12 | 6130-CHE-2013-CORRESPONDENCE [08-04-2020(online)].pdf | 2020-04-08 |
| 13 | 6130-CHE-2013-COMPLETE SPECIFICATION [08-04-2020(online)].pdf | 2020-04-08 |
| 13 | 6130-CHE-2013-CORRESPONDENCE [08-04-2020(online)].pdf | 2020-04-08 |
| 14 | 6130-CHE-2013-CLAIMS [08-04-2020(online)].pdf | 2020-04-08 |
| 14 | 6130-CHE-2013-DRAWING [08-04-2020(online)].pdf | 2020-04-08 |
| 15 | 6130-CHE-2013-ABSTRACT [08-04-2020(online)].pdf | 2020-04-08 |
| 15 | 6130-CHE-2013-FER_SER_REPLY [08-04-2020(online)].pdf | 2020-04-08 |
| 16 | 6130-CHE-2013-FORM 3 [08-04-2020(online)].pdf | 2020-04-08 |
| 16 | 6130-CHE-2013-US(14)-HearingNotice-(HearingDate-08-03-2022).pdf | 2022-02-14 |
| 17 | 6130-CHE-2013-POA [28-02-2022(online)].pdf | 2022-02-28 |
| 17 | 6130-CHE-2013-Information under section 8(2) [08-04-2020(online)].pdf | 2020-04-08 |
| 18 | 6130-CHE-2013-OTHERS [08-04-2020(online)].pdf | 2020-04-08 |
| 18 | 6130-CHE-2013-FORM 13 [28-02-2022(online)].pdf | 2022-02-28 |
| 19 | 6130-CHE-2013-FER.pdf | 2019-10-09 |
| 19 | 6130-CHE-2013-Correspondence to notify the Controller [28-02-2022(online)].pdf | 2022-02-28 |
| 20 | FORM 3.pdf | 2013-12-31 |
| 20 | 6130-CHE-2013-AMENDED DOCUMENTS [28-02-2022(online)].pdf | 2022-02-28 |
| 21 | FORM 5.pdf | 2013-12-31 |
| 21 | 6130-CHE-2013-Written submissions and relevant documents [23-03-2022(online)].pdf | 2022-03-23 |
| 22 | IP25910-FIG.pdf | 2013-12-31 |
| 22 | 6130-CHE-2013-PETITION UNDER RULE 137 [23-03-2022(online)].pdf | 2022-03-23 |
| 23 | IP25910-SPEC.pdf | 2013-12-31 |
| 23 | 6130-CHE-2013-PatentCertificate05-09-2022.pdf | 2022-09-05 |
| 24 | Form-9(Online).pdf | 2013-12-30 |
| 24 | 6130-CHE-2013-IntimationOfGrant05-09-2022.pdf | 2022-09-05 |
| 1 | 2019-10-0300-31-51_04-10-2019.pdf |