IP Library › Granted Patent US 12,154,684
Granted Patent B2
US 12,154,684 · App. 18/348,955 · Granted Nov 26, 2024

Information management system and method

Inventors: Ophir Ronen (Seattle, WA); Justin Kearns (Lexington, KY); Keith Boudreau (Durham, NC); Christian Bauer (Frisco, TX); Michael Gruzynski (Seattle, WA); David Garner (Bothell, WA); Thomas Dziedzic (Elmwood Park, IL)
Assignee: CALMWAVE, INC.
G16H40/40A61B5/0002A61B5/7221A61B5/7267A61B5/746G06F11/3072G06F11/327G06Q10/063G06Q10/105G08B7/06G08B29/02G16H10/60G16H15/00G16H40/20G16H40/63G16H40/67
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Quick Facts
Patent No.
US 12,154,684
App. No.
18/348,955
Granted
Nov 26, 2024
Kind
B2
Abstract

A computer-implemented method, computer program product and computing system for: monitoring a bedside monitoring device to detect the occurrence of alarms, thus defining detected alarms; processing the detected alarms to determine their authenticity; and if a detected alarm is determined to be non-authentic, adjusting one or more monitoring criteria that was instrumental in producing the non-authentic detected alarm.

Claims (72)

1. A computer-implemented method, executed on a computing device, comprising:

monitoring a bedside monitoring device to detect an occurrence of alarms, thus defining detected alarms;

processing the detected alarms to determine their authenticity, including:

defining volume information for the detected alarms, including comparing signal measures of the bedside monitoring device relative to one or more monitoring criteria over a first time span to signal measures of the bedside monitoring device relative to the one or more monitoring criteria over a second time span, the second time span being longer than the first time span, and

utilizing the volume information to determine the authenticity of the detected alarms; and

if a detected alarm is determined to be non-authentic, adjusting the one or more monitoring criteria that was instrumental in producing the non-authentic detected alarm.

2. The computer-implemented method of claim 1 further comprising:

if a detected alarm is determined to be authentic, effectuating an appropriate medical response to the authentic detected alarm.

3. The computer-implemented method of claim 1 wherein the monitoring criteria includes signal thresholds.

4. The computer-implemented method of claim 1 wherein the bedside monitoring device includes one or more bedside monitoring sub devices.

5. The computer-implemented method of claim 1 wherein processing the detected alarms to determine their authenticity includes:

defining volatility information for the detected alarms; and

utilizing the volatility information to determine the authenticity of the detected alarms.

6. The computer-implemented method of claim 1 wherein processing the detected alarms to determine their authenticity includes:

defining bias information for the detected alarms; and

utilizing the bias information to determine the authenticity of the detected alarms.

7. The computer-implemented method of claim 1 wherein processing the detected alarms to determine their authenticity includes:

defining persistence information for the detected alarms; and

utilizing the persistence information to determine the authenticity of the detected alarms.

8. The computer-implemented method of claim 1 wherein processing the detected alarms to determine their authenticity includes:

defining stationary information for the detected alarms; and

utilizing the stationary information to determine the authenticity of the detected alarms.

9. The computer-implemented method of claim 1 wherein adjusting one or more monitoring criteria that was instrumental in producing the non-authentic detected alarm includes:

defining bespoke monitoring criteria for the bedside monitoring device.

10. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:

monitoring a bedside monitoring device to detect an occurrence of alarms, thus defining detected alarms;

processing the detected alarms to determine their authenticity, including:

defining volume information for the detected alarms, including comparing signal measures of the bedside monitoring device relative to one or more monitoring criteria over a first time span to signal measures of the bedside monitoring device relative to the one or more monitoring criteria over a second time span, the second time span being longer than the first time span, and

utilizing the volume information to determine the authenticity of the detected alarms; and

if a detected alarm is determined to be non-authentic, adjusting the one or more monitoring criteria that was instrumental in producing the non-authentic detected alarm.

11. The computer program product of claim 10 further comprising:

if a detected alarm is determined to be authentic, effectuating an appropriate medical response to the authentic detected alarm.

12. The computer program product of claim 10 wherein the monitoring criteria includes signal thresholds.

13. The computer program product of claim 10 wherein the bedside monitoring device includes one or more bedside monitoring sub devices.

14. The computer program product of claim 10 wherein processing the detected alarms to determine their authenticity includes:

defining volatility information for the detected alarms; and

utilizing the volatility information to determine the authenticity of the detected alarms.

15. The computer program product of claim 10 wherein processing the detected alarms to determine their authenticity includes:

defining bias information for the detected alarms; and

utilizing the bias information to determine the authenticity of the detected alarms.

16. The computer program product of claim 10 wherein processing the detected alarms to determine their authenticity includes:

defining persistence information for the detected alarms; and

utilizing the persistence information to determine the authenticity of the detected alarms.

17. The computer program product of claim 10 wherein processing the detected alarms to determine their authenticity includes:

defining stationary information for the detected alarms; and

utilizing the stationary information to determine the authenticity of the detected alarms.

18. The computer program product of claim 10 wherein adjusting one or more monitoring criteria that was instrumental in producing the non-authentic detected alarm includes:

defining bespoke monitoring criteria for the bedside monitoring device.

19. A computing system including a processor and memory configured to perform operations comprising:

monitoring a bedside monitoring device to detect an occurrence of alarms, thus defining detected alarms;

processing the detected alarms to determine their authenticity, including:

defining volume information for the detected alarms, including comparing signal measures of the bedside monitoring device relative to one or more monitoring criteria over a first time span to signal measures of the bedside monitoring device relative to the one or more monitoring criteria over a second time span, the second time span being longer than the first time span, and

utilizing the volume information to determine the authenticity of the detected alarms; and

if a detected alarm is determined to be non-authentic, adjusting the one or more monitoring criteria that was instrumental in producing the non-authentic detected alarm.

20. The computing system of claim 19 further comprising:

if a detected alarm is determined to be authentic, effectuating an appropriate medical response to the authentic detected alarm.

21. The computing system of claim 19 wherein the monitoring criteria includes signal thresholds.

22. The computing system of claim 19 wherein the bedside monitoring device includes one or more bedside monitoring sub devices.

23. The computing system of claim 19 wherein processing the detected alarms to determine their authenticity includes:

defining volatility information for the detected alarms; and

utilizing the volatility information to determine the authenticity of the detected alarms.

24. The computing system of claim 19 wherein processing the detected alarms to determine their authenticity includes:

defining bias information for the detected alarms; and

utilizing the bias information to determine the authenticity of the detected alarms.

25. The computing system of claim 19 wherein processing the detected alarms to determine their authenticity includes:

defining persistence information for the detected alarms; and

utilizing the persistence information to determine the authenticity of the detected alarms.

26. The computing system of claim 19 wherein processing the detected alarms to determine their authenticity includes:

defining stationary information for the detected alarms; and

utilizing the stationary information to determine the authenticity of the detected alarms.

27. The computing system of claim 19 wherein adjusting one or more monitoring criteria that was instrumental in producing the non-authentic detected alarm includes:

defining bespoke monitoring criteria for the bedside monitoring device.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 19, 2023
From: RONEN, OPHIR; KEARNS, JUSTIN; BOUDREAU, KEITH; BAUER, CHRISTIAN; GRUZYNSKI, MICHAEL; GARNER, DAVID; DZIEDZIC, THOMAS
To: CALMWAVE, INC.
Reel/Frame 064956/0311 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 7, 2023
From: RONEN, OPHIR; KEARNS, JUSTIN; BOUDREAU, KEITH; BAUER, CHRISTIAN; GRUZYNSKI, MICHAEL; GARNER, DAVID; DZIEDZIC, THOMAS
To: CALMWAVE, INC.
Reel/Frame 064189/0704 →
Continuity (5)
Provisional Application 63492137 · Mar 24, 2023
Provisional Application 63492145 · Mar 24, 2023
Provisional Application 63492117 · Mar 24, 2023
Provisional Application 63359129 · Jul 7, 2022
Related Publication 20240013650A1 · Jan 11, 2024