Methods and systems for utilizing prediction models in healthcare

• US 9,690,907 B2
• Filed: 05/29/2014
• Issued: 06/27/2017
• Est. Priority Date: 03/04/2005
• Status: Active Grant

• Current Assignee: Terumo Medical Corporation (Terumo Corporation)
• Original Assignee: Health Outcomes Sciences, Inc. (Terumo Corporation)
• Inventors: Soto, Gabriel Enrique, Spertus, John Albert
• Primary Examiner(s): Craig, Dwin M
• Application Number:
  US14/290,724
• Publication Number:
  US 20150088471A1
• Time in Patent Office: 1,125 Days
• Field of Search: 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 system, comprising:

a server computer comprising hardware including a processing device;

non-transitory computer readable memory storing a server module, that when executed by the server computer causes the system to perform operations comprising;

accessing sets of predictors associated with respective health outcomes;

determining whether there are variables that may be shared among the sets of predictors;

dynamically generating a patient information request interface based at least in part on the sets of predictors;

wherein the dynamically generated patient information request interface is configured to request patient information corresponding to the sets of predictors, and

the dynamically generated request interface is configured to reduce redundancy in the requested information based at least in part on the determined variables that may be shared among the sets of predictors.

2. The system as defined in claim 1, wherein the dynamically generated interface comprises an interface to a patient information system.

3. The system as defined in claim 1, wherein the dynamically generated interface comprises an interface to a patient information system using an XML web service.

4. The system as defined in claim 1, wherein the dynamically generated interface comprises a visual user interface including user data entry fields.

5. The system as defined in claim 1, wherein the dynamically generated interface comprises fields related to a patient'"'"'s gender, age, and history of diabetes.

6. The system as defined in claim 1, wherein the system comprises a network interface configured to transmit the dynamically generated patient information request interface over a network to a client computer.

7. The system as defined in claim 1, wherein the determined variables that may be shared among the sets of predictors associated with the respective health outcomes in the first plurality of health outcomes comprises an age variable.

8. A computer-implemented method for generating interfaces configured to receive patient variable data, the method comprising:

accessing, by a computer system, sets of predictors associated with respective health outcomes;

determining whether there are variables that may be shared among the sets of predictors;

dynamically generating, by the computer system, a patient information request interface based at least in part on the sets of predictors;

wherein the dynamically generated patient information request interface is configured to request patient information corresponding to the sets of predictors, and

the dynamically generated request interface is configured by the computer system to reduce redundancy in the requested information based at least in part on the determined variables that may be shared among the sets of predictors.

9. The method as defined in claim 8, wherein the dynamically generated interface retrieves patient information from a patient information system.

10. The method as defined in claim 8, wherein the dynamically generated interface obtains patient information from a patient information system using an XML web service without displaying the patient information request interface.

11. The method as defined in claim 8, wherein the dynamically generated interface is provided for display to a user, and patient information entered by the user is received at the computer system.

12. The method as defined in claim 8, wherein the dynamically generated interface is configured by the computer system to obtain patient information related to a patient'"'"'s gender, age, and history of diabetes.

13. The method as defined in claim 8, wherein the computer system comprises a server and a network interface configured to transmit the dynamically generated patient information request interface over a network to a client computer.

14. The method as defined in claim 8, wherein a first variable that may be shared among the sets of predictors comprises an age variable.

15. Non-transitory computer readable memory storing instructions, that when executed by a computer system comprising hardware causes the computer system to perform operations comprising:

accessing sets of predictors associated with respective health outcomes;

determining whether there are variables that may be shared among the sets of predictors;

dynamically generating a patient information request interface based at least in part on the sets of predictors;

wherein the dynamically generated patient information request interface is configured to request patient information corresponding to the sets of predictors, and

the dynamically generated request interface is configured to reduce redundancy in the requested information based at least in part on the determined variables that may be shared among the sets of predictors.

16. The non-transitory computer readable memory as defined in claim 15, wherein the dynamically generated interface comprises an interface to a patient information system.

17. The non-transitory computer readable memory as defined in claim 15, wherein the dynamically generated interface comprises an interface to a patient information system using an XML web service.

18. The non-transitory computer readable memory as defined in claim 15, wherein the dynamically generated interface comprises a visual user interface including user data entry fields.

19. The non-transitory computer readable memory as defined in claim 15, wherein the dynamically generated interface comprises fields related to a patient'"'"'s gender, age, and history of diabetes.

20. The non-transitory computer readable memory as defined in claim 15, wherein the determined variables that may be shared among the sets of predictors associated with the respective health outcomes in the first plurality of health outcomes comprises an age variable.