METHODS AND SYSTEMS FOR GENERATION OF PERSONALIZED HEALTH PLANS

• US 20120130732A1
• Filed: 07/26/2011
• Published: 05/24/2012
• Est. Priority Date: 07/27/2010
• Status: Active Grant

• Current Assignee: Segterra, Inc.
• Original Assignee: Segterra, Inc.
• Inventors: Blander, Gil, Reich, Christian, Lester, David
• Granted Patent: US 8,762,167 B2
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16B 25/00 ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
• CPC Class Codes: G16B 25/10 Gene or protein expression profiling; Expression-ratio estimation or normalisation
• CPC Class Codes: G16B 40/00 ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
• CPC Class Codes: G16B 50/30 Data warehousing; Computing architectures
• CPC Class Codes: G16B 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Personalized, health and performance programs are generated for individuals based on various biomarkers and performance and lifestyle assessments. In one embodiment, a diagnostic test of blood or other biological specimen(s) is used to determine key biological marker levels. Information and assessments of the user'"'"'s physical performance, life style and health and wellness goals is also collected and provided to an expert system that matches the biomarker levels and assessments to a knowledgebase of scientific knowledge about biomarker levels and health and fitness outcomes. Personal recommendations and advice on nutrition and exercise is then generated, which may be used to help individuals reach their diet, fitness, and wellness goals and improve their physical and mental performance and well being in measurable ways.

Claims

1. A system for deriving a personalized health and fitness plan for an individual, said system comprising:

a data storage device for storing (i) an electronic knowledgebase of medical and health data collected from a plurality of sources and (ii) a plurality of questions;

an inference engine for (i) determining, based on a computerized comparison between said knowledgebase and biomarker data for a plurality of biomarkers for said individual, a subset of said plurality of questions to be presented to said individual and (ii) generating, based on said biomarker data and answers received from said individual to said subset of said plurality of questions, a series of lifestyle recommendations specific to said individual; and

a communication server for transmitting said series of lifestyle recommendations to said individual over a secure network connection.

2. The system of claim 1, wherein said electronic knowledgebase includes second biomarker data for said plurality of biomarkers having been collected for said individual prior to said biomarker data.

3. The system of claim 2, wherein said computerized comparison between said knowledgebase and said biomarker data includes comparison between said biomarker data and said second biomarker data.

4. The system of claim 1, wherein said biomarker data is collected using a sample of blood from said individual.

5. The system of claim 1, wherein said biomarker data is collected using a biological specimen from said individual where said biological specimen does not comprise blood.

6. The system of claim 1, wherein said plurality of biomarkers comprises creatine kinase.

7. The system of claim 1, wherein said plurality of biomarkers comprises ferritin.

8. The system of claim 1, wherein said subset of said plurality of questions comprises questions about said individual'"'"'s demographic data.

9. The system of claim 1, wherein said subset of said plurality of questions comprises questions about said individual'"'"'s athletic activity.

10. The system of claim 1, wherein said lifestyle recommendations comprise dietary recommendations.

11. The system of claim 1, wherein said lifestyle recommendations comprise exercise recommendations.

11A. A. The system of claim 1, wherein said biomarkers comprise:

Creatine Kinase, Magnesium, Calcium, Ferritin, Folate, Vitamin B12, Vitamin D, Hemoglobin, Lactic acid, White Blood Cells, IL6, Thiamin, Sodium, Zinc, Glycerol, Glutamine, IL-1b, sTNF-R I, CRP, b-2 microglobulin, Neopterin, TNF-a

11B. B. The system of claim 1, wherein said biomarkers comprise:

Beta-2-microglobulin, IL6, Calcium, Calcitonin, Ferritin, Sodium, GCSF, CRP, Folate, IL2, Creatin Kinase, Vitamin B12, IL1b, Magnesium, Vitamin D

12. A computer-implemented method for deriving a personalized health and fitness plan for an individual, said method comprising the steps of:

collecting biomarker data for a plurality of biomarkers for said individual;

determining, based on a computerized comparison between said biomarker data and an electronic knowledgebase of medical and health data collected from a plurality of sources, a series of questions to be presented to said individual;

presenting said series of questions to said individual;

receiving answers to said series of questions from said individual;

generating, based on said biomarker data and said answers, a series of lifestyle recommendations specific to said individual; and

transmitting said series of lifestyle recommendations to said individual over a secure network connection.

13. The method of claim 12, further comprising the steps of:

collecting second biomarker data for said plurality of biomarkers for said individual at a time subsequent to said step of transmitting; and

comparing said biomarker data to said second biomarker data in order to determine the difference between said biomarker data and said second biomarker data.

14. The method of claim 12, wherein said biomarker data is collected using a sample of blood from said individual.

15. The method of claim 12, wherein said biomarker data is collected using a biological specimen from said individual where said biological specimen does not comprise blood.

16. The method of claim 12, wherein said plurality of biomarkers comprises creatine kinase.

17. The method of claim 12, wherein said plurality of biomarkers comprises ferritin.

17A. A. The method of claim 12, wherein said biomarkers comprise:

Creatine Kinase, Magnesium, Calcium, Ferritin, Folate, Vitamin B12, Vitamin D, Hemoglobin, Lactic acid, White Blood Cells, IL6, Thiamin, Sodium, Zinc, Glycerol, Glutamine, IL-1b, sTNF-R I, CRP, b-2 microglobulin, Neopterin, TNF-a

17B. B. The method of claim 12, wherein said biomarkers comprise:

Beta-2-microglobulin, IL6, Calcium, Calcitonin, Ferritin, Sodium, GCSF, CRP, Folate, IL2, Creatin Kinase, Vitamin B12, IL1b, Magnesium, Vitamin D

18. The method of claim 12, wherein said series of questions comprises questions about said individual'"'"'s demographic data.

19. The method of claim 12, wherein said series of questions comprises questions about said individual'"'"'s athletic activity.

20. The method of claim 12, wherein said lifestyle recommendations comprise dietary recommendations.

21. The method of claim 12, wherein said lifestyle recommendations comprise exercise recommendations.