System and methods for providing integrated wellness assessment

• US 8,352,408 B2
• Filed: 01/07/2009
• Issued: 01/08/2013
• Est. Priority Date: 01/07/2008
• Status: Active Grant

• Current Assignee: Noel J. Guillama
• Original Assignee: Noel Guillama, Quantum Group Inc.
• Inventors: Martinez, Pedro, Guillama, Noel
• Primary Examiner(s): Chaki, Kakali
• Assistant Examiner(s): COUGHLAN, PETER D
• Application Number:
  US12/349,714
• Publication Number:
  US 20090177613A1
• Time in Patent Office: 1,462 Days
• Field of Search: None
• US Class Current: 706/52
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A system for generating measurable indexes for providing a total wellness assessment of an individual is provided. The system can include a communications interface for accessing databases of population data derived from samplings of populations. The system further can include an integration and synthesis engine for generating weighting factors based upon a combination of the data, each weighting factor corresponding to a body region of the individual or to a health condition associated with the individual and based upon the population data. The system also can include a conditions capture engine for capturing individual-specific data corresponding to predetermined health conditions. The system can further include a modeling tool for combining the weighting factors with the individual-specific data. Moreover, the system can include a quotient generator for generating an overall health score corresponding to the individual based on the combining of weighting factors, population data, and individual-specific data.

Claims

1. A computer-implemented method for generating measurable indexes for providing a total wellness assessment of an individual, the method comprising:

accessing a plurality of databases of population data derived from samplings of one or more populations the population data comprising data regarding a plurality of health related factors for the one or more populations;

generating a plurality of weighting factors based upon a predetermined combination of the population data using a dynamic data integration and synthesis engine, each of the plurality of weighting factors corresponding to a different one of the plurality of health related factors;

computing an first overall health score corresponding to the individual by combining at least one of the plurality of weighting factors with individual-specific data corresponding to at least a portion of the health related factors associated with the individual;

computing an second overall health score corresponding to the one or more populations by combining the at least one of the plurality weighting factors with individual specific data corresponding to the portion of the health related factors associated with individuals in the one or more populations;

determining a wellness of the individual related to the one or more populations based on the first and second overall health scores;

deriving one or more sets of deviations for the plurality of health related factors the sets of deviations based upon projected changes in at least one therapeutic regime, environment, or behavior associated with the individual; and

recalculating the first overall health scores for the individual using each of the sets of deviations to yield integrated overall health scores for each of the sets of deviations.

2. The method of claim 1, further comprising generating a list of recommendations for the individual based upon the projected changes, the list of recommendations comprising at least one therapeutic regime, an environmental change, or a behavioral change.

3. The method of claim 1, wherein the plurality of database comprise at least one of a demographic database, an historical database, an actuarial database, a medical database, and a genomic database;

and wherein the step of accessing comprises retrieving at least one of demographic data from the demographic database, historical data from the historical database, actuarial data from the actuarial database, medical data from the medical database, and genomic data from the genomic database.

4. The method of claim 1, further comprising updating at least one of the weighting factors based upon a statistically estimated trend.

5. A system for generating measurable indexes for providing a total wellness assessment of an individual, the system comprising:

a processor;

a data communications interface for accessing a plurality of databases of population data derived from samplings of one or more populations the population data comprising data regarding a plurality of health related factors for the one or more populations; and

a computer readable medium have stored thereon instructions for causing the processor to perform steps comprising;

generating a plurality of weighting factors based upon a predetermined combination of the data, each of the plurality of weighting factor corresponding to a different one of the plurality of health related factors,

capturing individual-specific data corresponding to at least a portion of the health related factors associated with the individual,

computing an first overall health score corresponding to the individual by combining at least one of the plurality of weighting factors with the individual-specific data corresponding to a set of predetermined of health conditions associated with the individual,

computing an second overall health score corresponding to the one or more populations by combining the at least one of the plurality weighting factors with individual specific data corresponding to the portion of the health related factors associated with individuals in the one or more populations, and

determining a wellness of the individual related to the one or more populations based on the first and second overall health scores,

deriving one or more sets of deviations for the plurality of health-related factors the sets of deviations based upon projected changes in at least one of therapeutic regime, environment, or behavior associated with the individual and

recalculating the first overall health scores for the individual using each of the sets of deviations to yield integrated overall health scores for each of the sets of deviations.

6. The system of claim 5, the steps further comprising generating a list of recommendations for the individual based upon the projected changes, the list of recommendations comprising at least one therapeutic regime, an environmental change, or a behavioral change.

7. The system of claim 5, wherein the plurality of databases comprise at least one of a demographic database, an historical database, an actuarial database, a medical database, and a genomic database;

and wherein the step of accessing comprises retrieving at least one of demographic data from the demographic database, historical data from the historical database, actuarial data from the actuarial database, medical data from the medical database, and genomic data from the genomic database.

8. The system of claim 5, wherein the integration and synthesis engine Is further configured to update at least one of the weighting factors based upon a statistically estimated trend.

9. A non-transitory computer-readable storage medium having computer-readable code embedded therein, which, when loaded in and executed by a computing device, causes the computing device to perform the steps of:

accessing a plurality of databases of population data derived from samplings of one or more populations the population data comprises data regarding a plurality of health related factors for the one or more populations;

generating a plurality of weighting factors based upon a predetermined combination of the data using a dynamic data integration and synthesis engine, each of the plurality of weighting factors corresponding to a different one of the plurality of health related factors;

computing an first overall health score corresponding to the individual by combining at least one of the plurality of weighting factors with individual-specific data corresponding to at least a portion of the health related factors associated with the individual;

computing an second overall health score corresponding to the one or more populations by combining the at least one of the plurality weighting factors with individual specific data corresponding to the portion of the health related factors associated with individuals in the one or more populations;

determining a wellness of the individual related to the one or more populations based on the first and second overall health scores;

deriving one or more sets of deviations for the plurality of health related factors the sets of deviations based upon projected changes in at least one therapeutic regime, environment or behavior associated with the individual; and

recalculating the first overall health scores for the individual using each of the sets of deviations to yield integrated overall health scores for each of the sets of deviations.

10. The non-transitory computer readable medium of claim 9, further comprising code for causing the computer device to generate a list of recommendations for the individual based upon the projected changes, the list of recommendations comprising at least one therapeutic regime, an environmental change, or a behavioral change.

11. The non-transitory computer-readable storage medium of claim 9, wherein the plurality of databases comprise at least one of a demographic database, an historical database, an actuarial database, a medical database, and a genomic database;

and wherein the step of accessing comprises retrieving at least one of demographic data from the demographic database, historical data from the historical database, actuarial data from the actuarial database, medical data from the medical database, and genomic data from the genomic database.

12. The non-transitory computer-readable of claim 9, further comprising code for causing the computing device to update at least one of the weighting factors based upon a statistically estimated trend.