Perfoming analytics on protected health information

• US 10,049,185 B2
• Filed: 01/28/2014
• Issued: 08/14/2018
• Est. Priority Date: 01/28/2014
• Status: Active Grant

• Current Assignee: Solventum Intellectual Properties Company (Solventum Corp.)
• Original Assignee: 3M Innovative Properties Company (3M Company)
• Inventors: Wolniewicz, Richard H.
• Primary Examiner(s): Chng, Joy
• Application Number:
  US14/166,364
• Publication Number:
  US 20150213226A1
• Time in Patent Office: 1,659 Days
• Field of Search: 705 2- 3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

This disclosure includes techniques for analyzing patient data. In one example, a method includes accessing, by a computer system, one or more databases comprising health information, with protected health information, for a plurality of patients, accessing, by the computer system, an analytical model, and receiving, by the computer system via a user interface, instructions to apply the analytical model to health information for each of the plurality of patients. The protected health information is isolated from the user interface to restrict access to the protected health information. The method further includes applying, by the computer system, the analytical model to health information for each of the plurality of patients, and storing a result of the analytical model to the one or more databases.

Claims

1. A method for analyzing patient data, the method comprising:

accessing, by a computer system, one or more databases comprising health information for a plurality of patients, the health information including protected health information;

accessing, by the computer system, an analytical model;

isolating, by the computer system, the protected health information from a user interface to restrict user access to the protected health information;

receiving, by the computer system via the user interface, instructions to apply the analytical model to health information for each of the plurality of patients;

applying, by the computer system, the analytical model using a machine-learning algorithm to health information for each of the plurality of patients to train the analytical model with the health information from the plurality of patients, the trained analytical model comprising trained weights of the analytical model, wherein the health information used to train the analytical model includes the protected health information isolated from the user interface; and

storing, by the computer system, a result comprising the trained weights of the analytical model trained with the health information to the one or more databases;

presenting, by the computer system via the user interface, a summary of the result of the analytical model, wherein the summary of the result of the analytical model excludes any of the protected health information.

2. The method of claim 1, wherein the summary of the result of the analytical model includes a statistical summary of health information resulting from the analytical model to facilitate user evaluation of the analytical model.

3. The method of claim 1, wherein the health information, including the protected health information, for the plurality of patients is isolated from the user interface.

4. The method of claim 1, further comprising updating, by the computer system, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the trained analytical model.

5. The method of claim 4, wherein updating, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the trained analytical model includes updating patient care information for at least some of the plurality of patients.

6. The method of claim 4, wherein updating, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the analytical model includes updating a patient health event risk assessment for at least some of the plurality of patients.

7. The method of claim 1, further comprising:

receiving, via the user interface, a request to access protected health information within one or more databases;

presenting, by the computer system via the user interface, the requested protected health information via the user interface; and

storing a record of the request to access the protected health information within the one or more databases.

8. A computer system for storing and analyzing health information for a plurality of patients comprising:

one or more databases comprising health information for a plurality of patients, the health information including protected health information;

a user interface; and

one or more processors configured to;

receive, via the user interface, instructions to apply an analytical model to health information for each of the plurality of patients;

isolate the protected health information from the user interface to restrict user access to the protected health information;

apply, based on instructions received via the user interface, the analytical model using a machine-learning algorithm to patient data for each of the plurality of patients to train the analytical model with the health information from the plurality of patients, the trained analytical model comprising trained weights of the analytical model, wherein the health information used to train the analytical model includes the protected health information isolated from the user interface; and

storing a result comprising the trained weights of the analytical model trained with the health information to the one or more databases;

wherein the one or more processors are further configured to present, via the user interface, a summary of the updated health information, wherein the summary of the updated health information excludes any of the protected health information.

9. The computer system of claim 8, wherein the summary of the updated health information includes a statistical summary to facilitate user evaluation of the analytical model.

10. The computer system of claim 8, wherein the health information, including the protected health information, for the plurality of patients is isolated from the user interface.

11. The computer system of claim 8, wherein the one or more processors are further configured to update, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the analytical model.

12. The computer system of claim 11, wherein updating, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the analytical model includes updating patient care information for at least some of the plurality of patients.

13. The computer system of claim 11, wherein updating, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the analytical model includes updating patient health event risk assessments for at least some of the plurality of patients.

14. The computer system of claim 8, wherein the one or more processors are further configured to:

receive, via the user interface, a request to access protected health information within one or more databases;

present, via the user interface, the requested protected health information via the user interface; and

store a record of the request to access the protected health information within the one or more databases.

15. A non-transitory computer-readable storage medium comprising instructions that, when executed, cause one or more processors to:

access one or more databases comprising health information for a plurality of patients, the health information including protected health information;

isolate the protected health information from a user interface to restrict user access to the protected health information;

receive, via the user interface, instructions to apply an analytical model to health information for each of the plurality of patients;

apply the analytical model using a machine-learning algorithm to health information for each of the plurality of patients to train the analytical model with the health information from the plurality of patients, the trained analytical model comprising trained weights of the analytical model, wherein the health information used to train the analytical model includes the protected health information isolated from the user interface; and

store a result comprising the trained weights of the analytical model trained with the health information to the one or more databases;

present, via the user interface, a summary of the updated health information, wherein the summary excludes any of the protected health information.

16. The non-transitory computer-readable storage medium of claim 15, wherein the summary of the updated health information includes a statistical summary to facilitate user evaluation of the analytical model.

17. The non-transitory computer-readable storage medium of claim 15, comprising further instructions that, when executed, cause the one or more processor to isolate the health information, including the protected health information, for the plurality of patients from the user interface.

18. The non-transitory computer-readable storage medium of claim 15, comprising further instructions that, when executed, cause the one or more processor to update, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the analytical model.

19. The non-transitory computer-readable storage medium of claim 18, wherein updating, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the analytical model includes updating patient care information for at least some of the plurality of patients.

20. The non-transitory computer-readable storage medium of claim 18, wherein updating, within the one or more databases, health information associated with at least some of the plurality of patients according to the result of the analytical model includes updating patient health event risk assessments for at least some of the plurality of patients.

21. The non-transitory computer-readable storage medium of claim 15, comprising further instructions that, when executed, cause the processor to:

receive, via the user interface, a request to access protected health information within one or more databases;

present, via the user interface, the requested protected health information via the user interface; and

store a record of the request to access the protected health information within the one or more databases.