Systems and methods for dynamically determining data-identity information

• US 20080046291A1
• Filed: 08/15/2006
• Published: 02/21/2008
• Est. Priority Date: 08/15/2006
• Status: Active Grant

• Current Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Original Assignee: Palo Alto Research Center, Inc. (Xerox Holdings Corp.)
• Inventors: Huang, Qingfeng, Reich, James E.
• Granted Patent: US 7,774,212 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Techniques are presented for determining threshold probability or confidence levels for associating various types of health information with a set of users. Spatio-temporal information associated with one or more of the subjects is determined. Health information associated with spatial-temporal information is also determined. Candidate health-subject associations are associated with probabilities based on the spatio-temporally tagged identity and spatio-temporally tagged health information. Candidate health-subject associations with probabilities exceeding a threshold probability level are assigned as actual health-subject associations. Treatment plans, reports, remedial procedures and or other health related tests, procedures or the like are determined based on the associated health information.

Claims

1. A method for dynamically determining data-identity information comprising the steps of:

determining identity information associated with spatio-temporal information for at least one subject;

determining health information associated with the spatio-temporal information;

determining probable associations between the health information and the identity information based on the spatio-temporal information; and

determining health related procedures based on the determined health-subject information associations.

2. The method of claim 1, in which the spatio-temporal information is determined based on sensor information.

3. The method of claim 2, in which the sensor information is at least one of video, sound, chemical, weight, and height based sensor information.

4. The method of claim 2 where health information is based on at least one of cardio-vascular information, body fluids and video information.

5. The method of claim 1, in which identity information is based on at least one of:

a code, historical sensor information and spatio-temporal information.

6. The method of claim 1, in which health information is based on at least one of:

a code, historical sensor information and spatio-temporal information.

7. The method of claim 1, in which probable associations are scored based on at least one of:

the identity information and the health information.

8. The method of claim 7, in which probable associations having a score that exceeds a threshold are explicitly associated and associations with scores below the threshold may be retained for later resolution.

9. The method of claims 7, in which the identity and health information is comprised of different types of information.

10. The method of claim 9, in which the different types of information are associated with different thresholds.

22. The method of claim 1, further comprising the steps of:

determining variance models for at least one of;

the identity information, the health information and the measurement method; and

where the determining the probable associations and identity information is further based on the variance models.

11. A system for dynamically determining data-identity information comprising:

a spatio-temporal information determination circuit for retrieving spatio-temporally tagged location and subject-identity sensor information;

a health information determination circuit for retrieving spatio-temporally tagged health information;

an association determination circuit that associates health information with subjects based on the spatio-temporally tagged location and identity information and the spatio-temporally tagged health information; and

a processor that determines health related procedures based on the determined health-subject associations.

12. The system of claim 11, in which the spatio-temporal information is determined based on sensor information.

13. The system of claim 12, in which the sensor information is at least one of video, sound, chemical, weight, and height based sensor information.

14. The system of claim 12 where health information is based on at least one of cardio-vascular information, body fluids and video information.

15. The system of claim 11, in which identity information is based on at least one of:

a code, historical sensor information and spatio-temporal information.

16. The system of claim 11, in which health information is based on at least one of:

a code, historical sensor information and spatio-temporal information.

17. The system of claim 11, in which probable associations are scored based on at least one of:

the identity information and the health information.

18. The system of claim 17, in which probable associations having a score that exceeds a threshold are explicitly associated.

19. The system of claims 17, in which the identity and health information is comprised of different types of information.

20. The system of claim 19, in which the different types of information are associated with different thresholds.

23. The system of claim 11, in which the processor determines variance models for at least one of:

the identity information the health information and the measurement method; and

the probable associations and identity information is further based on the variance models.

21. A computer readable storage medium comprising computer readable program code embodied on the computer readable storage medium, the computer readable program code useable to program a computer to dynamically determine data-identity information comprising the steps of:

determining identity information associated with spatio-temporal information for at least one subject;

determining health information associated with the spatio-temporal information;

determining probable associations between the health information and the identity information based on the spatio-temporal information; and

determining health related procedures based on the determined health-subject information associations.