PATIENT DATA MANAGEMENT APPARATUS FOR COMPARING PATIENT DATA WITH AILMENT ARCHETYPES TO DETERMINE CORRELATION WITH ESTABLISHED AILMENT BIOMARKERS

• US 20110015942A1
• Filed: 09/24/2010
• Published: 01/20/2011
• Est. Priority Date: 07/17/2009
• Status: Active Grant

• Current Assignee: Wavii, Inc. (Alphabet Inc.)
• Original Assignee: Wavii, Inc. (Alphabet Inc.)
• Inventors: Jash, Ambarish, Robertson, Owen S., Oakley, David
• Granted Patent: US 8,930,212 B2
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/291 for electroencephalography [EEG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4088 Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

The Medical Diagnostic Apparatus implements a physician-operated medical data analysis system for assisting a physician in identifying ailments and conditions which correlate to anomalies identified in a set of patient medical data relating to an identified patient. This system includes a plurality of biomarkers which relate to interpreting patient medical data and possible ailments associated with patient medical data. A data characterization module displays biomarkers selected by a physician and a set of patient medical data, collected from and about an identified patient, to compare the set of patient medical data with biomarkers of known ailments to enable the physician to identify an ailment representative of the patient medical data.

Claims

1. A physician operated medical data analysis system for assisting a physician in identifying ailments and conditions which correlate to anomalies identified in a set of patient medical data relating to an identified patient, comprising:

a plurality of biomarkers which relate to interpreting patient medical data and possible ailments associated with patient medical data;

a data characterization module for displaying biomarkers selected by a physician and a set of patient medical data, collected from and about an identified patient, to compare said set of patient medical data with biomarkers of known ailments to enable said physician to identify an ailment representative of said patient medical data.

2. The medical data analysis system of claim 1, further comprising:

data relations search process, responsive to a physician identified ailment, for identifying published literature in a Digital Library, which contains a plurality of published literature which relate to interpreting patient medical data and possible ailments associated with patient medical data, to identify published literature associated with said physician identified ailment.

3. The medical data analysis system of claim 1 wherein said data characterization module comprises:

a statistical analyzer for comparing said set of patient medical data to a set of physician selected demographic-matched reference control data.

4. The medical data analysis system of claim 3 wherein said data characterization module further comprises:

an ailment identifier for generating data which identifies at least one ailment that corresponds to a variation of said set of patient medical data from said physician selected demographic-matched reference control data.

5. The medical data analysis system of claim 4 wherein said data characterization module further comprises:

an ailment correlator for identifying published literature relating to said identified ailments.

6. The medical data analysis system of claim 3 wherein said data characterization module further comprises:

an ailment filter, responsive to data received from said physician indicative of at least one known ailment, for activating said statistical analyzer to select demographic-matched reference control data relating to said at least one known ailment.

7. The medical data analysis system of claim 3 wherein said data characterization module comprises:

a predictive analyzer, responsive to said set of patient medical data, for using at least one of correlative databases, predictive databases, and trait indices to generate an estimation of a likelihood that said identified patient will develop particular ailments.

8. The medical data analysis system of claim 7 wherein said characterization module comprises:

an ailment correlator, responsive to said predictive analyzer generating an estimation of a likelihood that said identified patient will develop particular ailments, for identifying published literature relating to said particular ailments.

9. The medical data analysis system of claim 1 wherein said set of patient medical data comprises:

monitoring data collected from medical devices operable to measure physiological data relating to said identified patient.

10. A method of operating a physician-operated medical data analysis system for assisting a physician in identifying ailments and conditions which correlate to anomalies identified in a set of patient medical data relating to an identified patient, comprising:

storing a plurality of biomarkers which relate to interpreting patient medical data and possible ailments associated with patient medical data; and

displaying biomarkers selected by a physician and a set of patient medical data, collected from and about an identified patient, to compare said set of patient medical data with biomarkers of known ailments to enable said physician to identify an ailment representative of said patient medical data.

11. The method of operating a medical data analysis system of claim 10, further comprising:

identifying, in response to a physician-identified ailment, published literature in a Digital Library, which contains a plurality of published literature which relate to interpreting patient medical data and possible ailments associated with patient medical data, to identify published literature associated with said physician identified ailment.

12. The method of operating a medical data analysis system of claim 10 wherein said step of displaying comprises:

comparing said set of patient medical data to a set of physician-selected demographic-matched reference control data.

13. The method of operating a medical data analysis system of claim 12 wherein said step of displaying further comprises:

generating data which identifies at least one ailment that corresponds to a variation of said set of patient medical data from said physician-selected demographic-matched reference control data.

14. The method of operating a medical data analysis system of claim 13 wherein said step of displaying further comprises:

identifying published literature relating to said identified ailments.

15. The method of operating a medical data analysis system of claim 12 wherein said step of displaying further comprises:

activating, in response to data received from said physician indicative of at least one known ailment, said statistical analyzer to select demographic-matched reference control data relating to said at least one known ailment.

16. The method of operating a medical data analysis system of claim 12 wherein said step of displaying comprises:

using, in response to said set of patient medical data, at least one of correlative databases, predictive databases, and trait indices to generate an estimation of a likelihood that said identified patient will develop particular ailments.

17. The method of operating a medical data analysis system of claim 16 wherein said step of displaying comprises:

identifying, in response to said predictive analyzer generating an estimation of a likelihood that said identified patient will develop particular ailments, published literature relating to said particular ailments.

18. The method of operating a medical data analysis system of claim 10 wherein said set of patient medical data comprises:

monitoring data collected from medical devices operable to measure physiological data relating to said identified patient.