Methods and systems for utilizing prediction models in healthcare

• US 8,560,281 B2
• Filed: 09/13/2012
• Issued: 10/15/2013
• Est. Priority Date: 03/04/2005
• Status: Active Grant

• Current Assignee: Terumo Medical Corporation (Terumo Corporation)
• Original Assignee: Health Outcomes Sciences, LLC
• Inventors: Soto, Gabriel Enrique, Spertus, John Albert
• Primary Examiner(s): Craig, Dwin M
• Application Number:
  US13/615,401
• Publication Number:
  US 20130006662A1
• Time in Patent Office: 397 Days
• Field of Search: 703/2
• US Class Current: 703/2
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method for providing decision support includes using a programmed computer to input a regression model specification, and to repeat the input a plurality of times to obtain and store a plurality of regression model specifications. The method further includes using the programmed computer to analyze selected regression model specifications to determine at least one of common variables and functions of common variables, to thereby determine a reduced-redundancy request for input of variables, when a plurality of the stored regression model specifications are selected for use.

Claims

1. A method for generating interfaces configured to receive patient variable data to be processed by mathematical health outcome prediction models, the method comprising:

receiving, by a computer system, an identification of a first plurality of mathematical health outcome prediction models;

accessing the first plurality of mathematical health outcome prediction models;

dynamically generating, by the computer system, an interface based at least in part on respective definitions of the first plurality of mathematical health outcome prediction models,

wherein the dynamically generated interface is configured to request patient information corresponding to patient variables of the first plurality of mathematical health outcome prediction models,

wherein the dynamically generated interface is configured by the computer system to reduce redundancy in the requested information at least in part by identifying one or more variables that may be shared among the first plurality of mathematical health outcome prediction models based at least in part upon the respective definitions of the first plurality of mathematical health outcome prediction models.

2. The method as defined in claim 1, wherein the interface retrieves patient information from a patient information system.

3. The method as defined in claim 1, wherein the interface obtains patient information from a patient information system using an XML web service without displaying the request.

4. The method as defined in claim 1, wherein the interface is provided for display to a user, and patient information entered by the user is received at the computer system.

5. The method as defined in claim 1, wherein the interface is configured to obtain patient information related to a patient'"'"'s gender, age, and history of diabetes.

6. The method as defined in claim 1, the method further comprising providing a user interface for inputting a plurality of regression model specifications related to medical treatment and outcome.

7. The method as defined in claim 1, the method further comprising:

(a) inputting a regression model specification related to providing health related predictions; and

(b) repeating (a) a plurality of times to obtain and store a plurality of the regression model specifications.

8. The method as defined in claim 1, the method further comprising:

(a) inputting a regression model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of the regression model specifications; and

using results of the plurality of regression model specifications to create an informed consent document and/or patient educational material including a discussion of treatment risks and benefits.

9. The method as defined in claim 1, the method further comprising:

(a) inputting a regression model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of the regression model specifications; and

using results of the plurality of regression model specifications to create a clinical decision aid.

10. The method as defined in claim 1, the method further comprising:

(a) inputting a health outcome prediction model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of health outcome prediction model specifications related to providing health related predictions;

executing the plurality of health outcome prediction model specifications, the plurality of health outcome prediction model specifications corresponding to the first plurality of mathematical health outcome prediction models; and

providing for display results of execution of the health outcome prediction model specifications.

11. The method as defined in claim 1, the method further comprising:

(a) obtaining a health outcome prediction model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of health outcome prediction model specifications related to providing health related predictions;

executing the plurality of health outcome prediction model specifications, the plurality of health outcome prediction model specifications corresponding to the first plurality of mathematical health outcome prediction models; and

providing for display results of the execution of the plurality health outcome prediction model specifications.

12. A computer system configured to facilitate the use of health outcome prediction models, the computer system comprising:

at least one computing device;

memory coupled to the at least one computing device, the memory having instructions stored therein that when executed by the at least one computing device are configured to cause the computer system to perform operations comprising;

receiving an identification of a first plurality of mathematical health outcome prediction models;

accessing the first plurality of mathematical health outcome prediction models;

dynamically generating an interface based at least in part on respective definitions of the first plurality of mathematical health outcome prediction models,

wherein the dynamically generated interface is configured to request patient information corresponding to patient variables of the first plurality of mathematical health outcome prediction models,

wherein the dynamically generated interface is configured to reduce redundancy in the requested information at least in part by identifying one or more variables that may be shared among the first plurality of mathematical health outcome prediction models based at least in part upon the respective definitions of the first plurality of mathematical health outcome prediction models.

13. The computer system as defined in claim 12, wherein the interface is configured to analyze patient information from a patient information system.

14. The computer system as defined in claim 12, wherein the interface is configured to obtain patient information from a patient information system using an XML web service without displaying the request.

15. The computer system as defined in claim 12, the operations further comprising providing the interface for display to a user, and receiving patient information entered by the user via the interface.

16. The computer system as defined in claim 12, wherein the interface is configured to obtain patient information related to a patient'"'"'s gender, age, and history of diabetes.

17. The computer system as defined in claim 12, the operations further comprising providing a user interface for inputting a plurality of regression model specifications related to medical treatment and outcome.

18. The computer system as defined in claim 12, the operations further comprising:

(a) inputting a regression model specification related to providing health related predictions; and

(b) repeating (a) a plurality of times to obtain and store a plurality of the regression model specifications.

19. The computer system as defined in claim 12, the operations further comprising:

(a) inputting a regression model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of the regression model specifications; and

using results of the plurality of regression model specifications to create an informed consent document and/or patient educational material including a discussion of treatment risks and benefits.

20. The computer system as defined in claim 12, the operations further comprising:

(a) inputting a health outcome prediction model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of health outcome prediction model specifications related to providing health related predictions;

executing the plurality of health outcome prediction model specifications, the plurality of health outcome prediction model specification corresponding to the first plurality of mathematical health outcome prediction models; and

providing for display results of execution of the plurality health outcome prediction model specifications.

21. The computer system as defined in claim 12, the operations further comprising:

(a) obtaining a health outcome prediction model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of health outcome prediction model specifications related to providing health related predictions;

executing the plurality of health outcome prediction model specifications, the plurality of health outcome prediction model specification corresponding to the first plurality of mathematical health outcome prediction models; and

providing for display results of the execution of the plurality health outcome prediction model specifications.

22. The computer system as defined in claim 12, further comprising a server including a network interface configured to receive at least a portion of the patient variables from one or more client systems.

23. A non-transitory computer readable storage medium having instructions stored thereon that, if executed by a computing system, cause the computing system to perform operations comprising:

receiving an identification of a first plurality of mathematical health outcome prediction models;

accessing the first plurality of mathematical health outcome prediction models;

dynamically generating an interface based at least in part on respective definitions of the first plurality of mathematical health outcome prediction models,

wherein the dynamically generated interface is configured to request patient information corresponding to patient variables of the first plurality of mathematical health outcome prediction models,

wherein the dynamically generated interface is configured to reduce redundancy in the requested information at least in part by identifying one or more variables that may be shared among the first plurality of mathematical health outcome prediction models based at least in part upon the respective definitions of the first plurality of mathematical health outcome prediction models.

24. The non-transitory computer readable storage medium as defined in claim 23, wherein the interface is configured to retrieve patient information from a patient information system.

25. The non-transitory computer readable storage medium as defined in claim 23, wherein the interface is configured to obtain patient information from a patient information system using an XML web service without displaying the request.

26. The non-transitory computer readable storage medium as defined in claim 23, the operations further comprising providing the interface for display to a user, and receiving patient information entered by the user via the interface.

27. The non-transitory computer readable storage medium as defined in claim 23, wherein the interface is configured to obtain patient information related to a patient'"'"'s gender, age, and history of diabetes.

28. The non-transitory computer readable storage medium as defined in claim 23, the operations further comprising providing a user interface for inputting a plurality of regression model specifications related to medical treatment or condition and outcome.

29. The non-transitory computer readable storage medium as defined in claim 23, the operations further comprising:

(a) inputting a regression model specification related to providing health related predictions; and

(b) repeating (a) a plurality of times to obtain and store a plurality of the regression model specifications.

30. The non-transitory computer readable storage medium as defined in claim 23, the operations further comprising:

(a) inputting a regression model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of the regression model specifications; and

using results of the plurality of regression model specifications to create an informed consent document and/or patient educational material including a discussion of treatment risks and benefits.

31. The non-transitory computer readable storage medium as defined in claim 23, the operations further comprising:

(a) inputting a health outcome prediction model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of health outcome prediction model specifications related to providing health related predictions;

executing the plurality of health outcome prediction model specifications, the plurality of health outcome prediction model specification corresponding to the first plurality of mathematical health outcome prediction models; and

providing for display results of the execution of the plurality health outcome prediction model specifications.

32. The non-transitory computer readable storage medium as defined in claim 23, the operations further comprising:

(a) obtaining a health outcome prediction model specification related to providing health related predictions;

(b) repeating (a) a plurality of times to obtain and store a plurality of health outcome prediction model specifications related to providing health related predictions;

executing the plurality of health outcome prediction model specifications, the plurality of health outcome prediction model specifications corresponding to the first plurality of mathematical health outcome prediction models; and

providing for display results of execution of the health outcome prediction model specifications.