Continuous Health Improvement
We believe small changes start here.
The CHI program is based on a 12 month cycle. During the cycle, participants are health coached twice, take two classes and receive biometric testing once. See a visual representation of our CHI cycle.
We take it personally
Using analytics, health coaches work closely with doctors to develop a health improvement plan tailored to individual needs and circumstances. Health coaches work personally with each participant throughout the process while guiding the participant towards their goals.
The staff at Access Health has expertise in many areas such as: Exercise Science, Nutrition, Tobacco Cessation Education, Stress Management/Behavioral Health, Diabetes, Asthma, COPD, Cardiovascular Education, Nursing and much more.
We believe in population health management
By “population health management”, we mean identifying health risks in the group and developing a plan to address them. Access Health was a pioneer in using population health management for the uninsured residents in Muskegon County, Michigan. This program has helped thousands of individuals, like you, to become healthier by making small, positive health changes that have made a big local health impact.
Essentially, our entire CHI program is an integrated form of population health management. We identify risks. We spot patterns in behavior. We work with you to find solutions. It’s all that simple.
Learn More – CHI program brochure
Our data’s impressive
Our integrated CHI process begins with data collection:
- Individual data is collected from HRAs, biometric screenings and claims.
- The data is analyzed using the Johns Hopkins health analytic software.
- Member and group risks are identified and stratified using a predictive modeler.
- Health coaches connect with members to help them manage their health risks.
- Individual health plans are developed for all members in collaboration with their physicians.
- All members are engaged in health education and activities that help improve their health outcomes and sustain long-lasting change.
However, our data is only as good as the analytics we can offer. Access Health uses the Johns Hopkins analytics and predictive modeling software to identify and stratify risks. The data is clustered into Adjusted Diagnostic Groups (ADGs) to determine the health status and risk at both the individual and group levels. Using the ADGs, the analytics software can predict which members are likely to be hospitalized in the coming 12 months, and what the underlying causes will likely be. This enables the care managers to engage these individuals in the CHI program that is designed to reduce the likelihood of hospitalization and improve the individual’s health status.