Decision support system using intelligent agents

Patent metadata

Field	Value
Publication number	US-10068667-B2
Application number	US-201414513961-A
Country	US
Kind code	B2
Filing date	Oct 14, 2014
Priority date	Feb 24, 2014
Publication date	Sep 4, 2018
Grant date	Sep 4, 2018

Abstract

A computing architecture, system and method are disclosed for use in a medical device for providing decision support to a caregiver. The computing architecture includes a memory, a processor in communication with the memory, and an instance of a primary rules-based service configured to provide instruction events, the instance providing a primary processing thread of instruction events for coaching treatment of a patient. A software manager module includes an artificial intelligence architecture. The artificial intelligence architecture is configured to provide an instance of a conditional rules-based service for providing instruction events. The instance provided by the artificial intelligence architecture provides a processing thread of instruction events for coaching treatment of a patient that is independent of the primary processing thread and is configured to trigger an action on the occurrence of a pre-defined set of input conditions.

First claim

We claim:

1. A medical device including a computing architecture comprising:
a memory;
a processor in communication with the memory;
an instance of a primary rules-based service configured to provide instruction events, the instance providing a primary processing thread of instruction events for coaching treatment of a patient;
a software manager module comprising an artificial intelligence architecture, the artificial intelligence architecture configured to provide an instance of a conditional rules-based service for providing instruction events, the instance providing a processing thread of instruction events for coaching treatment of a patient that is independent of the primary processing thread and is configured to trigger an action on the occurrence of a pre-defined set of input conditions.

2. The medical device of claim 1 :
wherein the artificial architecture is an intelligent agent configured with a conditional rule.

3. The medical device of claim 2 :
wherein the intelligent agent is configured to scan the memory of the medical device to determine if a predefined input or a user configured condition has occurred and should trigger an action.

4. The medical device of claim 2 :
wherein the software manager module provides a first software manager module; and
further comprising a second software manager module comprising an artificial intelligence architecture, the artificial intelligence architecture configured to provide an instance of a conditional rules-based service for providing instruction events, the instance providing a processing thread of instruction events for coaching treatment of a patient that is independent of the primary processing thread and is configured to trigger an action on the occurrence of a pre-defined set of input conditions.

5. The medical device of claim 4 wherein the artificial intelligence architecture of the second software manager module is an intelligent agent configured with a conditional rule.

6. The medical device of claim 5 :
wherein a predefined input or a user configured condition triggers an action by the second software manager module.

7. The medical device of claim 5 :
wherein the first software manager triggers a first action; and wherein the first action is applied to the second software manager module to trigger a second action.

8. The medical device of claim 1 :
wherein the artificial architecture is a rule engine configured with a conditional rule.

9. The medical device of claim 1 :
wherein the artificial intelligence architecture is an expert system configured with a conditional rule.

10. The medical device of claim 1 wherein the instance of a conditional rules-based service is configurable by an administrator of the computing architecture.

11. The medical device of claim 10 wherein the configurability of the medical device enables the administrator to configure the conditional rules-based service to a particular environment.

12. The medical device of claim 10 wherein the configurability of the medical device enables the administrator to configure the conditional rules-based service to provide a particular user interface response.

13. The medical device of claim 10 wherein the configurability of the medical device enables the administrator to configure the conditional rules-based service to operate on a set of distributed, interconnected medical devices.

14. The medical device of claim 13 wherein the set of distributed, interconnected medical devices support a plurality of system configurations.

15. The medical device of claim 13 wherein the configurability of the medical device enables the administrator to configure the conditional rules-based service to cover a predetermined number of patient conditions.

16. The medical device of claim 13 wherein the configurability of the medical device enables the administrator to configure the conditional rules-based service to cover a predetermined number of treatment paths.

17. The medical device of claim 1 further comprising:
a decision support definition editor configured to provide the instance of a conditional rules-based service for providing instruction events.

18. The medical device of claim 1 further comprising:
a user interface;
a software manager responsible for triggering a predetermined action on the user interface.

19. The medical device of claim 18 :
wherein the user interface is a display; and
wherein the predetermined action on the user interface is a rendering information on the display.

20. The medical device of claim 1 :
wherein the artificial intelligence architecture of the software manager module is further configured to provide one or more additional instances of a conditional rules-based service for providing instruction events, the one or more additional instances providing one or more additional processing threads of instruction events for coaching treatment of a patient that are independent of the primary processing thread and are configured to trigger an action on the occurrence of a pre-defined set of input conditions.

21. The medical device of claim 1 further comprising:
a user interface, the user interface configured for receiving input data for configuring the computing architecture.

22. The medical device of claim 1 :
wherein the software manager module further comprises a software manager, the software manager being selected from the group consisting of a smart vital algorithm manager, a help manager, a checklist manager, an event viewer manager, an asset manager, an alarm manager, a report generator manger, and a patient care preview manager.

23. The medical device of claim 1 wherein the instance of a conditional rules-based service for providing instruction events is for detection of sepsis.

24. The medical device of claim 1 wherein the instance of a conditional rules-based service for providing instruction events includes a set of rules including:
if ((Evidence of Infection) && ((A&&B) ll (A&&C) ll (A&&D) ll (B&&C) ll (B&&D) ll (C&&D)))
wherein:
A=Temperature>38 degrees C. or <36 degrees C.
B=Respiratory rate>20 respirations/minute
C=Heart Rate>90 beats/min
D=White Blood cell count>12.times. 10 9/L or <4.times. 10 9/L or with >10% immature forms
&&=the Boolean logical operator AND
ll=the Boolean logical operator OR.

25. The medical device of claim 1 wherein the instance of a conditional rules-based service for providing instruction events includes a device alert.

26. The medical device of claim 25 wherein the device alert is rendered on a display of a device selected from the group consisting of a smart phone; a lap top, a notebook, a PDA, a personal computer, a monitor, and any computing device.

Assignees

• Physio Control Inc

Inventors

• Peterson Kenneth J
• Lewis Dana
• Smith Michell
• Protas Cheryl
• Wootten James
• Stewart David B
• Kotlarchik Garrett
• Edwards Jeffery
• Edwards D Craig

Classifications

• G16H40/63 Primary

  for local operation · CPC title

• G06N5/025

  Extracting rules from data · CPC title

• A61N1/046

  Specially adapted for shock therapy, e.g. defibrillation · CPC title

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G06F19/3406

  Physics · mapped topic