Dynamic health metric reporting method and system

• US 20040030672A1
• Filed: 09/09/2003
• Published: 02/12/2004
• Est. Priority Date: 08/01/2001
• Status: Abandoned Application

• Current Assignee: Ultra Touch Corporation
• Original Assignee: Ultra Touch Corporation
• Inventors: Garwin, Jeffrey L
• Application Number:
  US10/398,297
• Publication Number:
  US 20040030672A1
• Time in Patent Office: Days
• US Class Current: 707/1
• CPC Class Codes: A61B 5/0091 for mammography
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A dynamic health metric reporting system for prospectively collecting data relevant to improve the utility of medical diagnostic technology, where the diagnostic technology produces digital data stored in an electronic database along with demo graphic and treatment data for individual patients. The reporting system includes the database system, database application logic for incorporating the data into the database, data from the diagnostic technology instrument(s), clinical and demographic data related to the individual patients and their medical history, statistical analysis programs for analyzing the database for clinically relevant group correlations between and among the diagnostic digital data, the clinical and demographic data, and the chances in these data with time for individual patients; and report-generating logic for generating a report that compares dynamically changing historical data for an individual patient in the database with clinically significant trends or findings based on group data from the entire database.

Claims

1. A method for developing a health reporting system, comprising the steps of:

a. collecting examination data for each of multiple examinations of subject bodies;

b. storing the examination data in a database;

c. comparing examination data from two or more specific examination dates for an identical subject body;

d. characterizing differences between the examination data from two or more examination dates for the identical subject body;

e. storing the differences in a database; and

f. generating a report detailing the differences in the examination data between two or more examination dates for the identical subject body, whereby the report assists in predicting a likely course of health for the subject body.

2. The method of claim 1, wherein collecting examination data occurs by receiving, from remote locations, electronically transmitted examination data.

3. The method of claim 1, wherein the examination data results from medical device detection.

4. The method of claim 1, wherein the examination data collected is digitally encoded.

5. The method of claim 1, wherein the examination data collected further includes identifiers for doctor, the subject body and the date and time of the examination.

6. The method of claim 1, wherein the examination data collected further includes individual demographic, clinical, and treatment data of the subject body.

7. The method of claim 1, wherein the database is a relational database.

8. The method of claim 1, wherein the database further includes demographic, treatment, clinical, pathological, and historical data of the subject body.

9. The method of claim 1, wherein the report further includes elapsed time between examination dates and drug or surgical treatments occurring between examination dates.

10. The method of claim 1, further including the step of creating a difference map, the difference map mapping the differences between the examination data from two different examination dates, and filing the difference map with respective examination information in a database.

11. The method of claim 10, wherein changes in examination data between different examination dates, and difference maps created therefrom, are stored by individual subject body in a database.

12. The method of claim 11, further including the step of generating a report detailing records of changes in history, treatment, demographics, pathology diagnosis, demographics, difference maps, times between examination dates and examination sequence.

13. The method of claim 11, further including the step of generating a report relating changes in difference maps to changes in clinical or pathological data, by time between difference maps.

14. The method of claim 1, wherein the examination data is directed to auditory data related the heart.

15. The method of claim 1, wherein the examination data is directed to characteristics of tissue.

16. The method of claim 15, wherein the characteristics of tissue are detected by an apparatus for detecting anomalies in tissue.

17. The method of claim 16, wherein the tissue is human breast tissue.

18. The method of claim 1, wherein the examination data is directed to CEA levels.

19. The method of claim 18, wherein characterizing and reporting differences in CEA levels is related to monitoring the efficacy of cancer treatment.

20. The method of claim 8, wherein changes in examination data between different examination dates are stored by individual subject body, for a plurality of subject bodies, in a database.

21. The method of claim 8, further comprising the step of performing a meta-analysis of changes in examination data between different examination dates by one or more criteria selected from the group consisting of demographic, treatment, clinical, pathological and historical data.

22. The method of claim 21, further comprising the step of generating a report detailing group correlations and meta-analysis and providing the report to physicians or managed care organizations to assist in diagnostic, prognostic and management evaluations and decisions.

23. The method of claim 21, further comprising the step of using meta-analysis data to inform populations through intervention, prevention and screening strategies.

24. The method of claim 1, further comprising the step of scanning the database for certain criteria for selecting pertinent patients, based upon the characterized differences, for clinical trials.

25. The method of claim 20, further comprising the step of characterizing differences between the examination data from two or more examination dates for the subject body in relation to changes in one or more criteria occurring between the respective examination dates, the criteria selected from the group consisting of demographic, treatment, clinical, pathological and historical data.

26. The method of claim 25, further comprising the step storing the characterized differences for the subject body in a relational database.

28. The method of claim 14, wherein the dynamic metric includes changes in examination data and other relevant data of occurrences between the respective examination dates.

29. The method of claim 15, wherein the other relevant data of occurrences includes drug or surgical interventions, whereby the report assists in predicting a likely effect of drug or surgical intervention, based upon the statistical record included in the database.

30. The method of claim 16, further including the step of providing the report to a physician or managed care provider to assist in predicting a likely effect of drug or surgical intervention on the subject body.

31. The method of claim 14, further including the step of providing the report to a physician or managed care provider to assist in diagnostic, prognostic and management evaluations and decisions regarding the subject body.

27. A method for developing a dynamic health metric reporting system, comprising the steps of:

a. collecting examination data for each of multiple examinations of subject bodies;

b. storing the examination data in a database;

c. comparing examination data from two or more specific examination dates for an identical subject body, creating one dynamic metric for the subject body for each pair of examination dates compared;

d. storing the one or more dynamic metrics created for the subject body in a database;

e. comparing the one or more dynamic metrics for the subject body with dynamic metrics for a relevant comparison population of similarly situated subject bodies in the database; and

f. generating a report detailing the similarities and differences in the dynamic metrics for the subject body with the dynamic metrics of similarly situated subject bodies in the database, whereby the report assists in predicting a likely course of health for the subject body.

32. The method of claim 27, wherein the examination data is directed to auditory data related the heart.

33. The method of claim 27, wherein the examination data is directed to characteristics of tissue.

34. The method of claim 33, wherein the characteristics of tissue are detected by an apparatus for detecting anomalies in tissue.

35. The method of claim 34, wherein the tissue is human breast tissue.

36. The method of claim 27, wherein the examination data is directed to CEA levels.

37. The method of claim 36, wherein characterizing and reporting differences in CEA levels is related to monitoring the efficacy of cancer treatment.

38. The method of claim 27, wherein the database further includes demographic, treatment, clinical, pathological, and historical data of the subject bodies.

39. The method of claim 38, further comprising the step of performing a meta-analysis of dynamic metrics in relation to one or more criteria selected from the group consisting of demographic, treatment, clinical, pathological and historical data.

40. The method of claim 39, further comprising the step of generating a report detailing group correlations or meta-analysis and providing the report to physicians or managed care organizations to assist in diagnostic, prognostic and management evaluations and decisions.

41. The method of claim 39, further comprising the step of using meta-analysis data to inform populations through intervention, prevention and screening strategies.

42. The method of claim 27, further comprising the step of scanning the database for certain criteria for selecting pertinent patients, based upon the characterized differences, for clinical trials.

43. The method of claim 27, further comprising the step of characterizing differences between the examination data from two or more examination dates for the subject body in relation to changes in one or more criteria occurring between the respective examination dates, the criteria selected from the group consisting of demographic, treatment, clinical, pathological and historical data.

44. The method of claim 43, further comprising the step storing the characterized differences for the subject body in a relational database.

45. A method for developing a breast tissue density reporting system, comprising the steps of:

a. collecting breast tissue density values for each of multiple examinations of subject bodies;

b. storing the breast tissue density values in a database;

comparing breast tissue density values from two or more specific examination dates for an identical subject body;

c. characterizing differences between the breast tissue density values from two or more examination dates for the identical subject body;

d. storing the differences in a database; and

e. generating a report detailing the differences in the breast tissue density values between two or more examination dates for the identical subject body, whereby the report assists in predicting a likely course of health for the subject body.

46. A method for developing a dynamic health metric reporting system for breast tissue density, comprising the steps of:

a. collecting breast tissue density values in three dimensions, determined for each of multiple examinations of subject bodies;

b. storing the breast tissue density values in a database;

comparing breast tissue density values from two or more specific examination dates for an identical subject body, creating one dynamic metric for the subject body for each pair of examination dates compared;

c. storing the one or more dynamic metrics created for the subject body in a database;

d. comparing the one or more dynamic metrics for the subject body with dynamic metrics for a relevant comparison population of similarly situated subject bodies in the database; and

e. generating a report detailing the similarities and differences in the dynamic metrics for the subject body with the dynamic metrics of similarly situated subject bodies in the database, whereby the report assists in predicting a likely course of health for the subject body.

47. A computer-readable medium that configures a computer to perform a method for developing a health reporting system, the method comprising the steps of:

a. collecting examination data for each of multiple examinations of subject bodies;

b. storing the examination data in a database;

comparing examination data from two or more specific examination dates for an identical subject body;

c. characterizing differences between the examination data from two or more examination dates for the identical subject body;

d. storing the differences in a database; and

e. generating a report detailing the differences in the examination data between two or more examination dates for the identical subject body, whereby the report assists in predicting a likely course of health for the subject body.

48. A computer-readable medium that configures a computer to perform a method for developing a dynamic health metric reporting system, the method comprising the steps of:

a. collecting examination data for each of multiple examinations of subject bodies;

b. storing the examination data in a database;

c. comparing examination data from two or more specific examination dates for an identical subject body, creating one dynamic metric for the subject body for each pair of examination dates compared;

d. storing the one or more dynamic metrics created for the subject body in a database;

e. comparing the one or more dynamic metrics for the subject body with dynamic metrics for a relevant comparison population of similarly situated subject bodies in the database; and

f. generating a report detailing the similarities and differences in the dynamic metrics for the subject body with the dynamic metrics of similarly situated subject bodies in the database, whereby the report assists in predicting a likely course of health for the subject body.

49. A computer-readable medium that configures a computer to perform a method for developing a breast tissue density reporting system, the method comprising the steps of:

a. collecting breast tissue density values for each of multiple examinations of subject bodies;

b. storing the breast tissue density values in a database;

comparing breast tissue density values from two or more specific examination dates for an identical subject body;

c. characterizing differences between the breast tissue density values from two or more examination dates for the identical subject body;

d. storing the differences in a database; and

e. generating a report detailing the differences in the breast tissue density values between two or more examination dates for the identical subject body, whereby the report assists in predicting a likely course of health for the subject body.

50. A computer-readable medium that configures a computer to perform a method for developing a dynamic health metric reporting system for breast tissue density, the method comprising the steps of:

a. collecting breast tissue density values in three dimensions, determined for each of multiple examinations of subject bodies;

b. storing the breast tissue density values in a database;

c. comparing breast tissue density values from two or more specific examination dates for an identical subject body, creating one dynamic metric for the subject body for each pair of examination dates compared;

d. storing the one or more dynamic metrics created for the subject body in a database;

e. comparing the one or more dynamic metrics for the subject body with dynamic metrics for a relevant comparison population of similarly situated subject bodies in the database; and

f. generating a report detailing the similarities and differences in the dynamic metrics for the subject body with the dynamic metrics of similarly situated subject bodies in the database, whereby the report assists in predicting a likely course of health for the subject body.

51. A computer-readable medium that stores a program for developing a health reporting system, the program comprising:

a. means for collecting examination data for each of multiple examinations of subject bodies;

b. means for storing the examination data in a database;

means for comparing examination data from two or more specific examination dates for an identical subject body;

c. means for characterizing differences between the examination data from two or more examination dates for the identical subject body;

d. means for storing the differences in a database; and

e. means for generating a report detailing the differences in the examination data between two or more examination dates for the identical subject body, whereby the report assists in predicting a likely course of health for the subject body.

52. A computer-readable medium that stores a program for developing a dynamic health metric reporting system, the program comprising:

a. means for collecting examination data for each of multiple examinations of subject bodies;

b. means for storing the examination data in a database;

c. means for comparing examination data from two or more specific examination dates for an identical subject body, creating one dynamic metric for the subject body for each pair of examination dates compared;

d. means for storing the one or more dynamic metrics created for the subject body in a database;

e. means for comparing the one or more dynamic metrics for the subject body with dynamic metrics for a relevant comparison population of similarly situated subject bodies in the database; and

f. means for generating a report detailing the similarities and differences in the dynamic metrics for the subject body with the dynamic metrics of similarly situated subject bodies in the database, whereby the report assists in predicting a likely course of health for the subject body.

53. A computer-readable medium that stores a program for developing a breast tissue density reporting system, the program comprising:

a. means for collecting breast tissue density values for each of multiple examinations of subject bodies;

b. means for storing the breast tissue density values in a database;

means for comparing breast tissue density values from two or more specific examination dates for an identical subject body;

c. means for characterizing differences between the breast tissue density values from two or more examination dates for the identical subject body;

means for storing the differences in a database; and

d. means for generating a report detailing the differences in the breast tissue density values between two or more examination dates for the identical subject body, whereby the report assists in predicting a likely course of health for the subject body.

54. A computer-readable medium that stores a program for developing a dynamic health metric reporting system for breast tissue density, the program comprising:

a. means for collecting breast tissue density values in three dimensions, determined for each of multiple examinations of subject bodies;

b. means for storing the breast tissue density values in a database;

c. means for comparing breast tissue density values from two or more specific examination dates for an identical subject body, creating one dynamic metric for the subject body for each pair of examination dates compared;

d. means for storing the one or more dynamic metrics created for the subject body in a database;

e. means for comparing the one or more dynamic metrics for the subject body with dynamic metrics for a relevant comparison population of similarly situated subject bodies in the database; and

f. means for generating a report detailing the similarities and differences in the dynamic metrics for the subject body with the dynamic metrics of similarly situated subject bodies in the database, whereby the report assists in predicting a likely course of health for the subject body.