Systems and methods for dynamically determining data-identity information

• US 7,774,212 B2
• Filed: 08/15/2006
• Issued: 08/10/2010
• 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.
• Primary Examiner(s): O'Connor; Gerald J.
• Assistant Examiner(s): Holcomb; Mark
• Application Number:
  US11/504,465
• Publication Number:
  US 20080046291A1
• Time in Patent Office: 1,456 Days
• Field of Search: 705/2, 705/3, 706 1- 9, 707/5
• US Class Current: 705/2
• 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, in a computer system, spatio-temporal information associated with at least one subject;

wherein the spatio-temporal information is determined from multiple sensors; and

wherein the spatio-temporal information is insufficient to identify a subject;

determining, in the computer system, a mapping between identity information and the spatio-temporal information for at least one subject, wherein the determining is based on inferring the at least one subject'"'"'s path or trajectory using tagged location information;

determining, in the computer system, a mapping between health information and the spatio-temporal information;

determining, in the computer system, probable mappings between the health information and the identity information based on the determined mapping between the spatio-temporal information and the identity information, as well as the determined mapping between the health information and the spatio-temporal information;

determining mappings between the health information and the identity information from the probable mappings, wherein ambiguity in the determination is resolved using additional spatio-temporal, identity, and health information;

and

determining, in the computer system, health related procedures based on the determined mappings between the health information and the identity information.

2. The method of claim 1, in which the sensor information is at least one of video, sound, chemical, weight, and height based sensor information.

3. The method of claim 1 where health information is based on at least one of cardio-vascular information, body fluids and video information.

4. 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.

5. 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.

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

the identity information and the health information.

7. The method of claim 6, in which probable mappings having a score that exceeds a threshold are explicitly associated and mappings with scores below the threshold are retained for later resolution.

8. The method of claim 6, in which the identity information is comprised of different types of information, and the health information is comprised of different types of information.

9. The method of claim 8, in which the different types of information comprising the identity information and the health information are associated with different thresholds.

10. 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 mappings 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 determining mappings between spatio-temporally tagged location information and subject-identity information,

wherein the spatio-temporal information is determined from multiple sensors;

wherein the spatio-temporal information is insufficient to identify a subject; and

wherein the mapping determination is based on inferring the at least one subject'"'"'s path or trajectory using tagged location information

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

a mapping determination circuit that establishes mappings between the health information and the identity information based on the mappings between the spatio-temporally tagged location information and subject-identity information, and the spatio-temporally tagged health information, wherein ambiguity in the determination is resolved using additional spatio-temporal location, identity, and health information; and

a processor that determines health related procedures based on the determined mappings between the health information and the subjects.

12. The system of claim 11, in which the sensor information is at least one of video, sound, chemical, weight, and height based sensor information.

13. The system of claim 11 where health information is based on at least one of cardio-vascular information, body fluids and video information.

14. 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.

15. 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.

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

the identity information and the health information.

17. The system of claim 16, in which probable mappings having a score that exceeds a threshold are explicitly associated.

18. The system of claim 16, in which the identity information is comprised of different types of information, and the health information is comprised of different types of information.

19. The system of claim 18, in which the different types of information comprising the identity information and the health information are associated with different thresholds.

20. 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 mappings and identity information is further based on the variance models.

21. A tangible computer readable storage medium storing instructions that, when executed by a computer, cause the computer to perform a method for dynamically determining data-identity information, the method comprising:

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

wherein the spatio-temporal information is determined from multiple sensors; and

wherein the spatio-temporal information is insufficient to identify a subject;

determining a mapping between identity information and the spatio-temporal information for at least one subject, wherein the determining is based on inferring the at least one subject'"'"'s path or trajectory using tagged location information;

determining a mapping between health information and the spatio-temporal information;

determining probable mappings between the health information and the identity information based on the determined mapping between the spatio-temporal information and the identity information, as well as the determined mapping between the health information and the spatio-temporal information;

determining mappings between the health information and the identity information from the probable mappings, wherein ambiguity in the determination is resolved using additional spatio-temporal, identity, and health information;

and

determining health related procedures based on the determined mappings between the health information and the identity information.