Systems and methods for a predictive notification engine

• US 8,069,135 B2
• Filed: 03/20/2008
• Issued: 11/29/2011
• Est. Priority Date: 03/20/2008
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Fletcher, Robert C., Fors, Brian, Jester, Eric, Wilhelm, Mark, Ricamato, Anthony
• Primary Examiner(s): FERNANDEZ RIVAS, OMAR F
• Application Number:
  US12/051,974
• Publication Number:
  US 20090240651A1
• Time in Patent Office: 1,349 Days
• Field of Search: None
• US Class Current: 706/62
• 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 computer 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 an experience level for a user.

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

3. The system of claim 2, wherein the second sequence is from a second medical device.

4. The system of claim 2, wherein the second sequence is from the same medical device.

5. The system of claim 2, wherein the prediction is further based at least in part on the second sequence of data values.

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

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

8. The system of claim 1, wherein a second notification is generated based on a second prediction determined based at least in part on the sequence of data values and subsequent data values for the parameter, wherein the second notification is generated after the first notification, and wherein the second notification is generated when the second prediction indicates that a previously detected condition has not been corrected.

9. The system of claim 1, wherein the prediction is determined by detecting a common mistake made in a teaching environment.

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

performing by one or more computer processors, at least;

receiving a sequence of data values for a parameter from a medical device;

receiving a sequence of messages from a clinical application;

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

generating a notification based on the prediction and an experience level for a user.

11. The method of claim 10, further including receiving a second sequence of data values for a second parameter.

12. The method of claim 11, wherein the second sequence is from a second medical device.

13. The method of claim 11, wherein the second sequence is from the same medical device.

14. The method of claim 11, wherein the prediction is further based at least in part on the second sequence of data values.

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

16. A non-transitory computer-readable medium including a set of instructions for execution on a computer, the set of instructions comprising:

a data reception routine configured to receive a sequence of data values for a parameter from a medical device;

a message reception routine configured to receive a sequence of messages from a clinical application;

a prediction processing routine configure to determine a prediction based at least in part on the sequence of data values and the sequence of messages; and

a notification routine configured to generate a notification based on the prediction and an experience level for a user.