DATA BASED TRUTH MAINTENANCE METHOD AND SYSTEM

• US 20120078835A1
• Filed: 09/23/2010
• Published: 03/29/2012
• Est. Priority Date: 09/23/2010
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Attaluri, Prabhakar, Iqbal, Mickey, Lawrence, Calvin D., Trevathan, Matthew B.
• Granted Patent: US 8,538,903 B2
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A truth maintenance method and system. The method includes receiving by a computer processor, health event data associated with heath care records for patients. The computer processor associates portions of the health event data with associated patients and related records in a truth maintenance system database. The computer processor derives first health related assumption data and retrieves previous health related assumption data derived from and associated with previous portions of previous health event data. The computer processor executes non monotonic logic with respect to the first health related assumption data and the previous health related assumption data. In response, the computer processor generates and stores updated first updated health related assumption data associated with the first health related assumption data and the previous health related assumption data.

Claims

1. A method comprising:

receiving, by a computer processor of a computing device from a plurality of data sources, first health event data associated with a first plurality of heath care records associated with a plurality of patients, said computer processor controlling a cloud hosted mediation system comprising an inference engine software application, a truth maintenance system database, and non monotonic logic;

associating, by said computer processor, portions of said first health event data with associated patients of said plurality of patients;

associating, by said computer processor, said portions of said first health event data with related records in said truth maintenance system database;

deriving, by said computer processor executing said inference engine software application, first health related assumption data associated with each portion of said portions of said first health event data;

retrieving, by said computer processor from said truth maintenance system database, previous health related assumption data derived from and associated with previous portions of previous health event data retrieved from said plurality of data sources, said previous health related assumption data derived at a time differing from a time of said deriving, said previous health related event data associated with previous health related events occurring at a different time from said first health event data;

executing, by said computer processor, said non monotonic logic with respect to said first health related assumption data and said previous health related assumption data;

generating, by said computer processor executing said non monotonic logic and said inference engine software application, first updated health related assumption data associated with said first health related assumption data and said previous health related assumption data; and

storing, by said computer processor in said truth maintenance system database, said first assumption health related data and said first updated health related assumption data.

2. The method of claim 1, further comprising:

executing, by said computer processor based on said first updated health related assumption data, health related actions associated with said plurality of patients.

3. The method of claim 2, wherein said health related actions comprise treatment options for said plurality of patients.

4. The method of claim 3, wherein said health related actions comprises implementing a pay by usage cloud metering model associated with said plurality of patients.

5. The method of claim 2, further comprising:

transmitting, by said computer processor to a plurality of health care providers, data describing said health related actions associated with said plurality of patients.

6. The method of claim 1, wherein said previous health related assumption data, said first health related assumption data, and said first updated health related assumption data each comprise assumptions associated with said plurality of patients.

7. The method of claim 1, wherein said generating first updated health related assumption data comprises retracting portions of said first health related assumption data and said previous health related assumption data.

8. The method of claim 7, further comprising:

retrieving, by said computer processor, historical patient data and treatment options data;

after said retracting, associating by said computer processor, said first updated health related assumption data with said historical patient data and said treatment options data;

generating, by said computer processor, health related recommendations associated with said plurality of patients; and

presenting, by said computer processor via a dashboard view on a display device, said health related recommendations.

9. The method of claim 8, wherein said health related recommendations comprise treatment options for said plurality of patients.

10. The method of claim 1, wherein said non monotonic logic comprises code for enabling the Dempster Shafer theory with respect to said first health related assumption data and said previous health related assumption data.

11. The method of claim 1, further comprising:

providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in said computing system, wherein the code in combination with the computing system is capable of performing;

said receiving, said associating said portions with said associated patients, said associating said portions with said related records, said deriving, said retrieving, said executing, said generating, and said storing.

12. A computer program product, comprising a computer readable storage medium having a computer readable program code embodied therein, said computer readable program code comprising an algorithm that when executed by a computer processor implements a method within a computing device, said method comprising:

receiving, by said computer processor from a plurality of data sources, first health event data associated with a first plurality of heath care records associated with a plurality of patients, said computer processor controlling a cloud hosted mediation system comprising an inference engine software application, a truth maintenance system database, and non monotonic logic;

associating, by said computer processor, portions of said first health event data with associated patients of said plurality of patients;

associating, by said computer processor, said portions of said first health event data with related records in said truth maintenance system database;

deriving, by said computer processor executing said inference engine software application, first health related assumption data associated with each portion of said portions of said first health event data;

retrieving, by said computer processor from said truth maintenance system database, previous health related assumption data derived from and associated with previous portions of previous health event data retrieved from said plurality of data sources, said previous health related assumption data derived at a time differing from a time of said deriving, said previous health related event data associated with previous health related events occurring at a different time from said first health event data;

executing, by said computer processor, said non monotonic logic with respect to said first health related assumption data and said previous health related assumption data;

generating, by said computer processor executing said non monotonic logic and said inference engine software application, first updated health related assumption data associated with said first health related assumption data and said previous health related assumption data; and

storing, by said computer processor in said truth maintenance system database, said first assumption health related data and said first updated health related assumption data.

13. The computer program product of claim 12, wherein said method further comprises:

executing, by said computer processor based on said first updated health related assumption data, health related actions associated with said plurality of patients.

14. The computer program product of claim 13, wherein said health related actions comprise treatment options for said plurality of patients.

15. The computer program product of claim 14, wherein said health related actions comprises implementing a pay by usage cloud metering model associated with said plurality of patients.

16. The computer program product of claim 13, wherein said method further comprises:

transmitting, by said computer processor to a plurality of health care providers, data describing said health related actions associated with said plurality of patients.

17. The computer program product of claim 12, wherein said previous health related assumption data, said first health related assumption data, and said first updated health related assumption data each comprise assumptions associated with said plurality of patients.

18. The computer program product of claim 12, wherein said generating first updated health related assumption data comprises retracting portions of said first health related assumption data and said previous health related assumption data.

19. The computer program product of claim 18, wherein said method further comprises:

retrieving, by said computer processor, historical patient data and treatment options data;

after said retracting, associating by said computer processor, said first updated health related assumption data with said historical patient data and said treatment options data;

generating, by said computer processor, health related recommendations associated with said plurality of patients; and

presenting, by said computer processor via a dashboard view on a display device, said health related recommendations.

20. A computing system comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements a method comprising:

receiving, by said computer processor from a plurality of data sources, first health event data associated with a first plurality of heath care records associated with a plurality of patients, said computer processor controlling a cloud hosted mediation system comprising an inference engine software application, a truth maintenance system database, and non monotonic logic;

associating, by said computer processor, portions of said first health event data with associated patients of said plurality of patients;

associating, by said computer processor, said portions of said first health event data with related records in said truth maintenance system database;

deriving, by said computer processor executing said inference engine software application, first health related assumption data associated with each portion of said portions of said first health event data;

retrieving, by said computer processor from said truth maintenance system database, previous health related assumption data derived from and associated with previous portions of previous health event data retrieved from said plurality of data sources, said previous health related assumption data derived at a time differing from a time of said deriving, said previous health related event data associated with previous health related events occurring at a different time from said first health event data;

executing, by said computer processor, said non monotonic logic with respect to said first health related assumption data and said previous health related assumption data;

generating, by said computer processor executing said non monotonic logic and said inference engine software application, first updated health related assumption data associated with said first health related assumption data and said previous health related assumption data; and

storing, by said computer processor in said truth maintenance system database, said first assumption health related data and said first updated health related assumption data.