SYSTEMS AND METHODS FOR A PREDICTIVE NOTIFICATION ENGINE

• US 20120036102A1
• Filed: 10/21/2011
• Published: 02/09/2012
• Est. Priority Date: 03/20/2008
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Fletcher, Robert C., Ricamato, Anthony, Fors, Brian, Jester, Eric, Wilhelm, Mark
• Application Number:
  US13/278,994
• Publication Number:
  US 20120036102A1
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Certain embodiments of the present invention provide a system for predictive notification including a notification engine adapted to receive a sequence of data values for a parameter from a medical device. The notification engine is adapted to determine a prediction based at least in part on the sequence of data values. The notification engine is adapted to generate a notification based on the prediction.

Claims

1. A system for predictive notification, the system comprising:

at least one processor comprising;

a notification engine adapted to receive a sequence of data values for a parameter from a medical device and a sequence of messages from a clinical application, wherein the notification engine is adapted to determine a prediction based at least in part on the sequence of data values and the sequence of messages, and wherein the notification engine is adapted to generate a notification based on the prediction and a user-defined setting.

2. The system of claim 1, wherein the user-defined setting comprises a user-defined alert level.

3. The system of claim 1, wherein the user-defined setting comprises a user-specific role.

4. The system of claim 1, wherein the user-defined setting comprises a procedure type.

5. The system of claim 1, wherein the user-defined setting comprises an anesthesia type.

6. The system of claim 1, wherein the user-defined setting comprises a medical device type.

7. The system of claim 1, wherein the notification engine is adapted to generate a notification based on a combination of the prediction, the user-defined setting, and clinical data.

8. The system of claim 1, wherein the notification engine is adapted to receive a second sequence of data values for a second parameter.

9. The system of claim 1, wherein each data value in the sequence is associated with a timestamp.

10. The system of claim 1, wherein the prediction is based on a determination of a trend in the sequence.

20. The system of claim 1, wherein the prediction is based on a determination of a trend in the sequence.

11. A method for predictive notification, the method comprising:

receiving, using a processor, a sequence of data values for a parameter from a medical device and receiving a sequence of messages from a clinical application;

determining, using a processor, a prediction based at least in part on the sequence of data values and the sequence of messages; and

generating, using a processor, a notification based on the prediction and a user-defined setting.

12. The system of claim 11, wherein the user-defined setting comprises a user-defined alert level.

13. The system of claim 11, wherein the user-defined setting comprises a user-specific role.

14. The system of claim 11, wherein the user-defined setting comprises a procedure type.

15. The system of claim 11, wherein the user-defined setting comprises an anesthesia type.

16. The system of claim 11, wherein the user-defined setting comprises a medical device type.

17. The system of claim 11, wherein the notification engine is adapted to generate a notification based on a combination of the prediction, the user-defined setting, and clinical data.

18. The system of claim 11, wherein the notification engine is adapted to receive a second sequence of data values for a second parameter.

19. The system of claim 11, wherein each data value in the sequence is associated with a timestamp.

21. A tangible computer-readable storage medium including a set of instructions for execution on a computer, the set of instructions, when executed, configuring at least one processor to implement:

a notification engine adapted to receive a sequence of data values for a parameter from a medical device and a sequence of messages from a clinical application, wherein the notification engine is adapted to determine a prediction based at least in part on the sequence of data values and the sequence of messages, and wherein the notification engine is adapted to generate a notification based on the prediction and a user-defined setting.

22. The tangible computer-readable storage medium of claim 21, wherein the user-defined setting comprises at least one of a user-defined alert level, a user-specific role, a procedure type, an anesthesia type, and a medical device type.