System and methods for providing dynamic integrated wellness assessment

• US 9,370,689 B2
• Filed: 01/08/2013
• Issued: 06/21/2016
• Est. Priority Date: 01/07/2008
• Status: Active Grant

• Current Assignee: Noel Guillama, Quantum Group Inc., SynaBee, Inc.
• Original Assignee: Quantum Group Inc.
• Inventors: Guillama, Noel J., Heath, Chester
• Primary Examiner(s): Hill, Stanley K
• Assistant Examiner(s): Buss, Benjamin
• Application Number:
  US13/736,145
• Publication Number:
  US 20130122476A1
• Time in Patent Office: 1,260 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A63B 24/00 Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• 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: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Systems and methods for generating and using measurable indexes for providing a total wellness assessment of an individual are provided. A method includes computing an overall health score corresponding to the individual based on a plurality of weighting factors, the weighting factors based at least on health conditions associated with the individual. The method also includes determining a set of recommended changes for the individual based on the overall health score and generating an episodic plan for the individual, the episodic plan comprising a series of episodes for the individual that when completed will result in the individual having implemented the set of recommended changes. The method further includes generating a series of prompts for the individual, the series of prompts selected to guide the individual through the episodic plan.

Claims

1. A computer-implemented method for a providing wellness program for an individual, the method comprising:

computing an overall health score corresponding to the individual based on a plurality of weighting factors, the weighting factors based at least on health conditions associated with the individual;

determining one or more recommended goals for the individual based on the overall health score;

obtaining a model identifying a plurality of episodes for a plurality of individuals associated with the recommended goals, a plurality of paths through the plurality of episodes, and criteria for classifying activities of the individual into one or more of the plurality of episodes, each of the plurality of episodes associated with a different set of finite temporal boundaries and non-temporal boundaries;

generating an episodic plan for the individual based on the model, the episodic plan comprising a series of episodes for the individual from the plurality of episodes that when completed will result in the individual having implemented the recommended goals;

generating a series of prompts for the individual, the series of prompts selected to guide the individual through the episodic plan using one or more of the plurality of paths;

generating an episodic group in which to place the individual, the episodic group consisting of one or more other individuals presently assigned a same path between a same two or more adjacent episodes along their respective episodic plans; and

as the individual completes paths associated with episodes in the episodic plan, migrating the individual to a second episodic group consisting at least partially of different individuals who are assigned to the subsequent path between updated adjacent episodes in their relative episodic plans.

2. The method of claim 1, where the generating of the series of prompts further comprises associating an incentive with a completion of at least one portion of the series of the episodes.

3. The method of claim 2, further comprising:

designating each of the episodes as one of a major goal type and a micro-goal type, and

selecting a value of the incentive based on a type of goal.

4. The method of claim 1, wherein the generating of the series of episodic group comprises:

identifying at least one other individual associated with another episodic plan comprising at least one episode from the series of episodes;

determining whether the at least one episode for the individual and the at least one other individual will occur contemporaneously; and

in response to determining that the at least one episode will occur contemporaneously for the individual and the at least one other individual, selecting incentives for the individual and the at least one other individual to induce the individual and the at least one other individual to interact during the at least one episode.

5. The method of claim 1, wherein the generating of the series of prompts is performed by a first entity, and wherein the series of prompts for at least one of the series of episodes are selected to induce the individual to perform at least one activity associated with at least one of the series of episodes with a second entity affiliated with the first entity.

6. The method of claim 1, further comprising:

updating the plurality of weighting factors after the completion of a portion of the series of episodes to yield an updated plurality of weighting factors;

recomputing the overall health score based on the updated plurality of weighting factors to yield an undated health score; and

adjusting the episodic plan for the individual based on the updated health score.

7. The method of claim 6, wherein the adjusting further comprises at least one of adding an episode to the series of episodes, removing an episode from the series of episodes, or altering an episode from the series of episodes.

8. A system for providing a wellness program for an individual, the system comprising:

a processor;

a computer-readable medium, having stored therein a plurality of instructions for causing the processor to perform steps comprising;

computing an overall health score corresponding to the individual based on a plurality of weighting factors, the weighting factors based at least on health conditions associated with the individual;

determining one or more recommended goals for the individual based on the overall health score;

obtaining a model identifying a plurality of episodes for a plurality of individuals associated with the recommended goals, a plurality of paths through the plurality of episodes, and criteria for classifying activities of the individual into one or more of the plurality of episodes, each of the plurality of episodes associated with a different set of finite temporal boundaries and non-temporal boundaries;

generating an episodic plan for the individual based on the model, the episodic plan comprising a series of episodes for the individual from the plurality of episodes that when completed will result in the individual having implemented the recommended goals; and

generating a series of prompts for the individual, the series of prompts selected to guide the individual through the episodic plan using one or more of the plurality of paths;

generating an episodic group in which to place the individual, the episodic group consisting of one or more other individuals presently assigned a same path between a same two or more adjacent episodes along their respective episodic plans; and

as the individual completes paths associated with episodes in the episodic plan, migrating the individual to a second episodic group consisting at least partially of different individuals who are assigned to the subsequent path between updated adjacent episodes in their relative episodic plans.

9. The system of claim 8, wherein the generating of the series of prompts further comprises associating an incentive with a completion of at least one portion of the series of the episodes.

10. The system of claim 9, the computer-readable medium further comprising instructions for causing the processor to perform steps comprising:

designating each of the episodes as one of a major goal type and a micro-goal type, and

selecting a value of the incentive based on a type of goal.

11. The system of claim 8, wherein the generating of the episodic group comprises:

identifying at least one other individual associated with another episodic plan comprising at least one episode from the series of episodes;

determining whether the at least one episode for the individual and the at least one other individual will occur contemporaneously; and

in response to determining that the at least one episode will occur contemporaneously for the individual and the at least one other individual, selecting the incentives for the individual and the at least one other individual to induce the individual and the at least one other individual to interact during the at least one episode.

12. The system of claim 8, wherein the generating of the series of prompts is performed by a first entity, and wherein the series of prompts for at least one of the series of episodes are selected to induce the individual to perform at least one activity associated with at least one of the series of episodes with a second entity affiliated with the first entity.

13. The system of claim 8, the computer-readable medium further comprising instructions for causing the processor to perform steps comprising:

updating the plurality of weighting factors after the completion of a portion of the series of episodes to yield an updated plurality of weighting factors;

recomputing the overall health score based on the updated plurality of weighting factors to yield an undated health score; and

adjusting the episodic plan for the individual based on the updated health score.

14. The system of claim 13, wherein the adjusting further comprises at least one of adding an episode to the series of episodes, removing an episode from the series of episodes, or altering an episode from the series of episodes.

15. A computer-readable storage medium, having stored thereon a plurality of instructions comprising code sections for performing a method comprising:

computing an overall health score corresponding to the individual based on a plurality of weighting factors, the weighting factors based at least on health conditions associated with the individual;

determining one or more recommended goals for the individual based on the overall health score;

obtaining a model identifying a plurality of episodes for a plurality of individuals associated with the recommended goals, a plurality of paths through the plurality of episodes, and criteria for classifying activities of the individual into one or more of the plurality of episodes, each of the plurality of episodes associated with a different set of finite temporal boundaries and non-temporal boundaries;

generating an episodic plan for the individual based on the model, the episodic plan comprising a series of episodes for the individual from the plurality of episodes that when completed will result in the individual having implemented the recommended goals;

generating a series of prompts for the individual, the series of prompts selected to guide the individual through the episodic plan using one or more of the plurality of paths;

generating an episodic group in which to place the individual, the episodic group consisting of one or more other individuals presently assigned a same path between a same two or more adjacent episodes along their respective episodic plans; and

as the individual completes paths associated with episodes in the episodic plan, migrating the individual to a second episodic group consisting at least partially of different individuals who are assigned to the subsequent path between updated adjacent episodes in their relative episodic plans.

16. The computer-readable storage medium of claim 15, where the generating of the series of prompts further comprises associating an incentive with a completion of at least one portion of the series of the episodes.

17. The computer-readable storage medium of claim 16, the method further comprising:

designating each of the episodes as one of a major goal type and a micro-goal type, and

selecting a value of the incentive based on a type of goal.

18. The computer-readable storage medium of claim 15, wherein the generating of the episodic group comprises:

identifying at least one other individual associated with another episodic plan comprising at least one episode from the series of episodes;

determining whether the at least one episode for the individual and the at least one other individual will occur contemporaneously; and

in response to determining that the at least one episode will occur contemporaneously for the individual and the at least one other individual, selecting the incentives for the individual and the at least one other individual to induce the individual and the at least one other individual to interact during the at least one episode.

19. The computer-readable storage medium of claim 15, wherein the generating of the series of prompts is performed based on inputs from a first entity, and wherein the series of prompts for at least one of the series of episodes are selected to induce the individual to perform at least one activity associated with at least one of the series of episodes with a second entity affiliated with the first entity.

20. The computer-readable storage medium of claim 15, the method further comprising:

updating the plurality of weighting factors after the completion of a portion of the series of episodes to yield an updated plurality of weighting factors;

recomputing the overall health score based on the updated plurality of weighting factors to yield an undated health score; and

adjusting the episodic plan for the individual based on the updated health score.