FORMING RECOMMENDATIONS USING CORRELATIONS BETWEEN WELLNESS AND PRODUCTIVITY

• US 20150347939A1
• Filed: 06/02/2014
• Published: 12/03/2015
• Est. Priority Date: 06/02/2014
• Status: Abandoned Application

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: KING, Nigel, B'FAR, Reza, LINGG, Elizabeth, SPAULDING, Kent Arthur
• Application Number:
  US14/293,954
• Publication Number:
  US 20150347939A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• 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 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method, system, and computer program product for computer-aided administration of wellness programs. Processing commences upon collecting first observations based on direct or indirect productivity measurements, then collecting second observations pertaining based on direct or indirect employee wellness measurements. Correlations between the first observations and the second observations are made, and based on the correlations, recommendations are formed. Recommendations can be emitted to an employee or to a program manager. The employee productivity measurements comprise working hours per time period, absentee hours per time period, units produced over a time period, revenue per employee, profit per employee, revenue per work hour, and/or profit per work hour. The employee wellness measurements comprise an assessment of a number of hours of exercise per time period, a number of steps taken per time period, a nutrition intake per time period, a body characteristic, and/or a quantity of caffeine-fortified beverages consumed per time period.

Claims

1. A method comprising:

identifying a computing system having a storage subsystem, wherein the storage subsystem comprises at least a database area having a series of records stored on a computer-readable medium, where individual records are accessed using at least a primary key;

collecting, from a first database area, a plurality of first observations pertaining to employee productivity, the first observations comprising direct or indirect productivity measurements;

collecting, from a second database area, a plurality of second observations pertaining to employee wellness, the second observations comprising direct or indirect employee wellness measurements;

calculating, using the processor, one or more correlations between the first observations and the second observations; and

forming a recommendation based at least in part on at least one of the one or more correlations.

2. The method of claim 1, wherein first observations pertaining to employee productivity comprise at least one of, working hours per time period, absentee hours per time period, units produced over a time period, revenue per employee, profit per employee, revenue per work hour, and profit per work hour.

3. The method of claim 2, wherein first observations pertaining to employee productivity further comprise measures of corporate financial performance.

4. The method of claim 1, wherein second observations pertaining to employee wellness comprise an assessment of at least one of, a number of hours of exercise per time period, a number of steps taken per time period, a nutrition intake per time period, a body characteristic, and a quantity of caffeine-fortified beverages consumed per time period.

5. The method of claim 1, wherein the correlations comprise correlation of individual employee participation to individual employee productivity.

6. The method of claim 1, wherein the correlations comprise correlation between aggregate employee participation to aggregate employee productivity.

7. The method of claim 1, wherein the correlations comprise correlation between aggregate employee participation in a wellness program and corporate financial performance.

8. The method of claim 1, wherein the recommendation comprises one or more activity recommendations.

9. The method of claim 1, wherein the recommendation comprises one or more wellness program recommendations.

10. The method of claim 1, wherein the recommendation comprises a productivity recommendation.

11. A computer program product embodied in a non-transitory computer readable medium, the computer readable medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a process, the process comprising:

collecting a plurality of first observations pertaining to employee productivity, the first observations comprising direct or indirect productivity measurements;

collecting a plurality of second observations pertaining to employee wellness, the second observations comprising direct or indirect employee wellness measurements;

calculating one or more correlations between the first observations and the second observations; and

forming a recommendation based at least in part on at least one of the one or more correlations.

12. The computer program product of claim 11, wherein first observations pertaining to employee productivity comprise at least one of, working hours per time period, absentee hours per time period, units produced over a time period, revenue per employee, profit per employee, revenue per work hour, and profit per work hour.

13. The computer program product of claim 12, wherein first observations pertaining to employee productivity further comprise measures of corporate financial performance.

14. The computer program product of claim 11, wherein second observations pertaining to employee wellness comprise an assessment of at least one of, a number of hours of exercise per time period, a number of steps taken per time period, a nutrition intake per time period, a body characteristic, and a quantity of caffeine-fortified beverages consumed per time period.

15. The computer program product of claim 11, wherein the correlations comprise correlation between aggregate employee participation in a wellness program and corporate financial performance.

16. The computer program product of claim 11, wherein the recommendation comprises one or more activity recommendations.

17. The computer program product of claim 11, wherein the recommendation comprises one or more wellness program recommendations.

18. The computer program product of claim 11, wherein the recommendation comprises a productivity recommendation.

19. A system comprising:

a database server to collect a plurality of first observations pertaining to employee productivity, the first observations comprising direct or indirect productivity measurements, and to collect a plurality of second observations pertaining to employee wellness, the second observations comprising direct or indirect employee wellness measurements;

a correlation engine to calculate one or more correlations between the first observations and the second observations; and

a recommendation engine to form a recommendation based at least in part on at least one of the one or more correlations.

20. The system of claim 19, wherein first observations pertaining to employee productivity comprise at least one of, working hours per time period, absentee hours per time period, units produced over a time period, revenue per employee, profit per employee, revenue per work hour, and profit per work hour.