Decision support system using intelligent agents

Patent metadata

Field	Value
Publication number	US-10559384-B2
Application number	US-201816118168-A
Country	US
Kind code	B2
Filing date	Aug 30, 2018
Priority date	Feb 24, 2014
Publication date	Feb 11, 2020
Grant date	Feb 11, 2020

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 method for providing decision support for a medical treatment, comprising:
providing a primary processing thread of instruction events for coaching treatment of a patient based on a primary rules-based service;
providing a processing thread of instruction events for coaching treatment of a patient that is independent of the primary processing thread for coaching treatment of a patient based on a conditional rules-based service; and
triggering an action by the independent processing thread of instruction events based on a conditional rules-based service on the occurrence of a pre-defined set of input conditions.

2. The method of claim 1 , further comprising configuring an instance of a conditional rules-based service by an administrator.

3. The method of claim 2 , wherein the configurability of the instance enables the administrator to configure the conditional rules-based service to a particular environment.

4. The method of claim 2 , wherein the configurability of the instance enables the administrator to configure the conditional rules-based service to provide a particular user interface response.

5. The method of claim 2 , wherein the configurability of the instance enables the administrator to configure the conditional rules-based service to operate on a set of distributed, interconnected medical devices.

6. The method of claim 5 , wherein the set of distributed, interconnected medical devices supports a plurality of system configurations.

7. The method of claim 2 , wherein the configurability of the instance enables the administrator to configure the conditional rules-based service to cover a predetermined number of patient conditions.

8. The method of claim 2 , wherein the configurability of the instance enables the administrator to configure the conditional rules-based service to cover a predetermined number of treatment paths.

9. The method of claim 8 , wherein the instance of a conditional rules-based service for providing instruction events is for detection of sepsis.

10. The method of claim 8 , wherein the instance of a conditional rules-based service for providing instruction events includes a device alert.

11. The method of claim 10 , 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 a computing device.

12. The method of claim 1 , further comprising configuring the conditional rules-based service for providing instruction events.

13. The method of claim 1 , further comprising triggering a predetermined action on a user interface based upon an action triggered by the independent processing thread of instruction events.

14. The method of claim 13 , wherein the user interface is a display, and wherein the predetermined action on the user interface is a rendering information on the display.

15. The method of claim 13 , further comprising:
triggering a predetermined action on a user interface by a software manager,
wherein the software manager is selected from the group consisting of smart vital algorithm manager, a help manager, a checklist manager, an event viewer manager, an asset manager, an alarm manager, a report generator manager, and a patient care preview manager.

16. The method of claim 1 , further comprising transmitting the triggered action to an external utility.

17. The method of claim 16 , wherein the external device is a computer.

18. The method of claim 17 , wherein the computer is a server.

19. The method of claim 16 , wherein communication between the medical device and the external utility is via a network.

20. The method of claim 1 , wherein the network is the Internet.

21. The method of claim 1 , wherein the external device is a computer selected from the group consisting of a server, a personal computer, a tablet, a mobile computing device, a video device, an ultrasound device, and a printer.

Assignees

• Physio Control Inc

Inventors

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

Classifications

• G06N5/025

  Extracting rules from data · CPC title

• A61N1/046

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

• G16H40/63 Primary

  for local operation · CPC title

• G16H50/20

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

• G06F19/00

  Physics · mapped topic