EMPLOYEE WELLNESS TRACKING AND RECOMMENDATIONS USING WEARABLE DEVICES AND HUMAN RESOURCE (HR) DATA

• US 20150220883A1
• Filed: 03/06/2014
• Published: 08/06/2015
• Est. Priority Date: 02/06/2014
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: B'FAR, REZA, LINGG, ELIZABETH, SPAULDING, KENT, CHAKRABARTI, MALINI, LEONE, CHRISTOPHER
• Granted Patent: US 9,842,313 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/105 Human resources

Abstract

Embodiments of the invention provide systems and methods for wellness tracking and recommendations. More specifically, embodiments of the present invention provide wellness applications that integrate wearable devices with Human Resource (HR) and other enterprise application data. According to one embodiment, providing integrated wellness information can comprise retrieving enterprise application data from one or more data sources, retrieving data from one or more wearable devices of one or more employees, and applying analytics to the retrieved enterprise application data and the data retrieved from the wearable devices. The integrated wellness information can be generated based on the applied analytics and can be provided to the one or more employees through a user interface.

Claims

1. A method for providing integrated wellness information, the method comprising:

retrieving, by a computer system, enterprise application data from one or more data sources;

retrieving, by the computer system, data from one or more wearable devices of one or more employees;

applying, by the computer system, analytics to the retrieved enterprise application data and the data retrieved from the wearable devices;

generating, by the computer system, the integrated wellness information based on the applied analytics; and

providing, by the computer system, the integrated wellness information to the one or more employees through a user interface.

2. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating comparative activity level information between employees and statistical activity information.

3. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating an activity leader board illustrating activity levels between employees.

4. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating a set of sedentary metrics, evaluations, and recommendations.

5. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating a score for stress level.

6. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating a sleep quality score and sleep trends.

7. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating sleep quality scores for an employee correlated to factors impacting sleep.

8. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating correlations between sleep scores and performance scores for an employee.

9. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating sleep quality metrics for an employee categorized by project type assigned to the employee.

10. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating sleep metrics for an employee categorized by location.

11. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating one or more work-life balance and wellness metrics relative to a set of user defined goals and one or more recommendations to achieve the user defined goals.

12. The method of claim 1, wherein generating the integrated wellness information based on the applied analytics comprises generating one or more wellness metrics relative to a set of organization defined wellness goals of a wellness program and one or more recommendations to achieve the organization defined wellness goals.

13. A system comprising:

a processor; and

a memory coupled with and readable by the processor and storing therein a set of instructions which, when executed by the processor, causes the processor to provide integrated wellness information by;

retrieving enterprise application data from one or more data sources,

retrieving data from one or more wearable devices of one or more employees,

applying analytics to the retrieved enterprise application data and the data retrieved from the wearable devices,

generating the integrated wellness information based on the applied analytics, and

providing the integrated wellness information to the one or more employees through a user interface.

14. The system of claim 13, wherein generating the integrated wellness information based on the applied analytics comprises one or more of generating comparative activity level information between employees and statistical activity information or generating an activity leader board illustrating activity levels between employees.

15. The system of claim 13, wherein generating the integrated wellness information based on the applied analytics comprises one or more of generating a set of sedentary metrics, evaluations, and recommendations, generating a score for stress level, generating a sleep quality score and sleep trends, generating sleep quality scores for an employee correlated to factors impacting sleep, generating correlations between sleep scores and performance scores for an employee, generating sleep quality metrics for an employee categorized by project type assigned to the employee, or generating sleep metrics for an employee categorized by location.

16. The system of claim 13, wherein generating the integrated wellness information based on the applied analytics comprises one or more of generating one or more work-life balance and wellness metrics relative to a set of user defined goals and one or more recommendations to achieve the user defined goals or generating one or more wellness metrics relative to a set of organization defined wellness goals of a wellness program and one or more recommendations to achieve the organization defined wellness goals.

17. A computer-readable memory comprising a set of instructions stored therein which, when executed by a processor, causes the processor to provide integrated wellness information by:

retrieving enterprise application data from one or more data sources,

retrieving data from one or more wearable devices of one or more employees,

applying analytics to the retrieved enterprise application data and the data retrieved from the wearable devices,

generating the integrated wellness information based on the applied analytics, and

providing the integrated wellness information to the one or more employees through a user interface.

18. The computer-readable memory of claim 17, wherein generating the integrated wellness information based on the applied analytics comprises one or more of generating comparative activity level information between employees and statistical activity information or generating an activity leader board illustrating activity levels between employees.

19. The computer-readable memory of claim 17, wherein generating the integrated wellness information based on the applied analytics comprises one or more of generating a set of sedentary metrics, evaluations, and recommendations, generating a score for stress level, generating a sleep quality score and sleep trends, generating sleep quality scores for an employee correlated to factors impacting sleep, generating correlations between sleep scores and performance scores for an employee, generating sleep quality metrics for an employee categorized by project type assigned to the employee, or generating sleep metrics for an employee categorized by location.

20. The computer-readable memory of claim 17, wherein generating the integrated wellness information based on the applied analytics comprises one or more of generating one or more work-life balance and wellness metrics relative to a set of user defined goals and one or more recommendations to achieve the user defined goals or generating one or more wellness metrics relative to a set of organization defined wellness goals of a wellness program and one or more recommendations to achieve the organization defined wellness goals