SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING PATIENT RELATED TIME TREND DATA

• US 20110218405A1
• Filed: 11/30/2009
• Published: 09/08/2011
• Est. Priority Date: 11/30/2009
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Avinash, Gopal Biligeri, Sirohey, Saad Ahmed, Mohan, Ananth, Lin, Zhongmin Steve
• Granted Patent: US 9,271,651 B2
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A system comprising a memory device having a plurality of routines stored therein, a processor configured to execute the plurality of routines stored in the memory device, the plurality of routines comprising: a routine configured to effect, when executed, accessing of patient deviation scores indicative of differences between patient data and reference data representative of a population segment, wherein the patient deviation scores are derived from longitudinal data of the patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data; a routine configured to effect, when executed, identifying a trend in the patient deviation scores for at least one clinical parameter; a routine configured to effect, when executed, generating of a report including a visual indication of the trend; and a routine configured to effect, when executed, outputting of the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.

Claims

1. A report of non-alphanumeric visual indicia generated by a method for integrated quantifiable detection, diagnosis and monitoring of a medical condition using a plurality of medical diagnosis test results, comprising:

a plurality of different time dependent metrics corresponding to medical diagnosis test results of an identified patient at a plurality of time points including a first set of at least one time dependent metric corresponding to medical diagnosis test results of an identified patient at a plurality of time points, and a second set of time dependent reference metrics corresponding to medical diagnosis test results of an identified population at a plurality of time,

wherein each of a plurality of quantified deviations between the first and second set of of metrics are aggregated to generate a visual representation corresponding to a medical condition when considered collectively to generate the report of visual indicia therefrom.

2. The report of claim 1, wherein the report further comprises:

at least one representation of a medical image.

3. The report of claim 1, wherein:

each of the first and second sets include data from more than one medical diagnosis test.

4. The report of claim 1, wherein the second set of metrics includes:

data corresponding to more than one de-identified patient.

5. The report of claim 2, wherein the second set of metrics includes:

a plurality of different tests.

6. The report of claim 5, wherein the plurality of different tests, includes:

a single test type taken repetitively over time.

7. The report of claim 1, wherein the second set of metrics includes:

a plurality of different tests.

8. The report of claim 7, wherein the plurality of different tests, includes:

a single test type taken repetitively over time.

9. The report of claim 1, wherein the second set of metrics further includes:

normal reference data corresponding to a predefined normal sample standard.

10. The report of claim 1, wherein the second set of metrics further includes:

abnormal reference data corresponding to a predefined abnormal sample standard.

11. The report of claim 1, wherein the at least a portion of the plurality of time dependent metrics aggregated to generate a visual representation corresponding to a medical condition represented by the quantified deviations when considered collectively to generate the report of visual indicia therefrom, further includes:

comparing the medical diagnosis test results data corresponding to a selected test type that is present in both the first set and second set, and generating at least some of the plurality of metrics.

12. The report of claim 1, wherein the first set and second set, further comprises data of the type selected from the following group of data types including:

image, numeric, waveform, enumerated, Boolean logic, or text.

13. The report of claim 1, wherein the plurality of quantified deviations between the first and second set of of metrics, further includes:

at least one test type common to both the first and second set.

14. The report of claim 13, further comprising:

more than one test type common to both the first and second set.

28. The report of claim 1, wherein the plurality of quantified deviations between the first and second set of of metrics, further includes:

at least one test type common to both the first and second set.

15. A report of non-alphanumeric visual indicia generated by a method for integrated quantifiable detection, diagnosis and monitoring of a medical condition using a plurality of medical diagnosis test results, comprising:

at least one time dependent metric corresponding to medical diagnosis test results of an identified patient at a plurality of time points;

a reference set of time dependent metrics corresponding to medical diagnosis test results of an identified population at a plurality of time points; and

wherein each of a plurality of quantified deviations between more than one of the time dependent metrics corresponding to the identified patient and the reference set of time dependent metrics are aggregated to generate a visual representation corresponding to a medical condition when considered collectively to generate the report of visual indicia therefrom.

16. The report of claim 15, wherein the report further comprises:

at least one representation of a medical image.

17. The report of claim 15, wherein:

each of the first and second sets include data from more than one medical diagnosis test.

18. The report of claim 15, wherein the second set of metrics includes:

data corresponding to more than one de-identified patient.

19. The report of claim 16, wherein the second set of metrics includes:

a plurality of different tests.

20. The report of claim 19, wherein the plurality of different tests, includes:

a single test type taken repetitively over time.

21. The report of claim 15, wherein the second set of metrics includes:

a plurality of different tests.

22. The report of claim 21, wherein the plurality of different tests, includes:

a single test type taken repetitively over time.

23. The report of claim 15, wherein the second set of metrics further includes:

normal reference data corresponding to a predefined normal sample standard.

24. The report of claim 15, wherein the second set of metrics further includes:

abnormal reference data corresponding to a predefined abnormal sample standard.

25. The report of claim 15, wherein the at least a portion of the plurality of time dependent metrics aggregated to generate a visual representation corresponding to a medical condition represented by the quantified deviations when considered collectively to generate the report of visual indicia therefrom, further includes:

comparing the medical diagnosis test results data corresponding to a selected test type that is present in both the first set and second set, and generating at least some of the plurality of metrics.

26. The report of claim 15, wherein the first set and second set, further comprises data of the type selected from the following group of data types including:

image, numeric, waveform, enumerated, Boolean logic, or text.

27. The report of claim 26, wherein:

the image data is mapped to an anatomical atlas.

29. The report of claim 27, further comprising:

more than one test type common to both the first and second set.

30. A report of non-alphanumeric visual indicia generated by a method for integrated quantifiable detection, diagnosis and monitoring of a medical condition using a plurality of medical diagnosis test results, comprising:

a plurality of different time dependent metrics;

each metric corresponds to a measure of time trend of distinct quantified deviation between a first data set of medical diagnosis test results corresponding to an identified patient at a plurality of time points, and provided for comparison with a second data set of medical diagnosis test results corresponding to at least one de-identified patient, and the data corresponding to the test results within either of the first data set and second data set is not included in the other;

wherein at least some of the plurality of time dependent metrics are aggregated to generate a visual representation corresponding to a medical condition and used to observe the medical condition represented by the plurality of different metrics when considered collectively to generate the visual report therefrom.