As the U.S. Healthcare Industry evolves and begins to comprehend the cost of lagging attention to preventative care initiatives, ‘wellness initiatives’ have emerged as an important part of the industry's future. To date, the healthcare industry has failed to implement a process that fully engages the needs of employers. It is thus desirable to have a process for capturing data that will beneficially impact both traditional group healthcare cost drivers and workers' compensation cost drivers. Moreover, there is a need for a simple and effective way of providing individualized exercise programs that will mitigate these cost drivers.
The present system and method is an internet-based wellness system that helps businesses' employees become more healthy and physically fit. The system receives inputs including group health carrier wellness criteria, group health aggregate data, government wellness subsidy criteria, members' health screening assessment data, worksite assessment data, and employee-specific injury history including individual and aggregate workers' compensation data from previous claims, and optional self-reported health-related injuries. Aggregate data is data that is combined and analyzed, which is typically the data that health insurance companies consider when determining premium costs per individual and per group. The data is input into a computer-implemented formula that results in a personalized workout plan for each employee (hereinafter ‘participant’) specific to their job segment, health needs, co-morbidity factors, group health risks and group goals.
The present system and method assigns exercises to participants based on several types of the information indicated above, which are collectively unique in the field of health care. Each participant receives recommendations for one cardiovascular exercise plus other targeted exercises, and one or more suggested articles to be read.
In addition, participants optionally have the ability to challenge co-workers and/or other departments within their organization. Participants may earn points by indicating that they have completed certain exercises. Participants may also be able to access their recommended workouts on any Internet-enabled computer or download suggested workouts to a portable device. Participants may also be able to purchase workout equipment for ‘points’ accumulated during the process described below.
In an exemplary embodiment, there are three categories of inputs 101, 102, 103, which are input to and stored in database 105 and processed by processor 107 to generate respective outputs 110, 120, 130 in response to risk factors for a particular participant:
In an exemplary embodiment, the exercise(s) recommended for each of the three categories 101, 102, 103 constitutes one-third of the total recommended workout.
Health Risk Assessments measure factors including some or all of weight, blood sugar, blood pressure, cholesterol, BMI (body mass index, an indicator of body mass relative to height), alcohol use and tobacco use. In an exemplary embodiment, each HRA provides a rating of low, medium or high for each of the above factors.
As shown in
In an exemplary embodiment, every participant receives either 20 or 30 minutes of recommended cardiovascular exercise. If a participant receives a medium or high rating on any of the above factors (step 245), they will receive a recommendation for 30 minutes of cardiovascular exercise (step 250). Otherwise they receive a 20 minute exercise recommendation (step 255). ‘Featured’ articles will be made available on an individual home web page which is created for each participant.
As shown in
Each participant receives three exercises of six to twenty repetitions based on the following logic. If the participant is not flagged for any targeted areas (step 355), then the participant receives a default program which includes two ‘general’ exercise sets, for example body weight squats and pushups, and one ‘core’ exercise set (step 360). If the participant is flagged for only one targeted area (step 365), then the participant's program includes two exercise sets for the one ‘targeted area’ (as indicated by the injury report) and one core (abdominal, low back, postural) exercise set (step 370).
If the participant is flagged for exactly two targeted areas (step 375), then the participant's program includes one exercise set for each of the two ‘targeted areas’ (as indicated by the injury report)—one exercise set for the first target area, and one exercise set for the second target area, as well as one ‘core’ exercise set (step 380).
If the participant is flagged with more than two targeted areas (step 385), then the participant is instructed to rank the prior injuries according to the participant's perception of the degree to which the injury currently impacts their functioning, so that the system can determine the two potentially most impactful areas, at step 387. The participant's program will then include one exercise set for each of the two top-ranked ‘targeted areas’ (as ranked by the participant)—one exercise set for the top-ranked target area, and one exercise set for the next-to-top-ranked target area, plus one ‘core’ exercise set (step 390).
At step 405, if jobsite analysis determines that a participant's worksite activity leads to a likelihood of upper extremity (UE) injury, then the participant is flagged for upper extremity injury prevention target area program input, at step 410. If jobsite analysis determines that the participant's worksite leads to likelihood of shoulder injury (step 415), then the participant is flagged for a shoulder injury prevention target area program input (step 420).
If jobsite analysis determines that the participant's worksite activity leads to likelihood of upper back (UB) injury (step 425), then the participant is flagged for upper back injury prevention target area program input (step 430).
If jobsite analysis determines that participant's worksite activity leads to likelihood of lower back (LB) injury (step 435), then the participant is flagged for lower back injury prevention target area program input (step 440). If jobsite analysis determines that the participant's worksite activity leads to likelihood of lower extremity (LE) injury (step 445), then the participant is flagged for lower extremity injury prevention target area program input (step 450).
In an exemplary embodiment, jobsite analysis stipulates a minimum of one and a maximum of two potential injury areas for any given worksite. If jobsite analysis determines that the participant's worksite activity leads to a likelihood of one orthopedic injury (step 455), then the participants program includes two exercise sets for ‘targeted area’ (as directed by the jobsite analysis), and one ‘general’ exercise set, as defined by a ‘general’ pool of exercises, e.g., bodyweight squats (step 460).
If jobsite analysis determines that the participant's worksite activity leads to a likelihood of two different orthopedic injuries (step 465), then the participant's program includes two exercises sets, one for each ‘targeted area’ (as directed by the injury report)—one exercise set for the first targeted area, and one exercise set for the second targeted area, plus one ‘general’ exercise set, as defined by the ‘general’ pool of exercises (step 470).
Certain changes may be made in the above methods and systems without departing from the scope of that which is described herein. It is to be noted that all matter contained in the above description or shown in the accompanying drawings is to be interpreted as illustrative and not in a limiting sense. The elements and steps shown in the present drawings may be modified in accordance with the methods described herein, and the steps shown therein may be sequenced in other configurations without departing from the spirit of the system thus described. The following claims are intended to cover all generic and specific features described herein, as well as all statements of the scope of the present method, system and structure, which, as a matter of language, might be said to fall there between.
This application claims benefit and priority to U.S. Patent Application Ser. No. 61/221,407, filed Jun. 29, 2009, the disclosure of which is incorporated herein by reference.
| Number | Date | Country | |
|---|---|---|---|
| 61221407 | Jun 2009 | US |