There are 5 item(s) tagged with the keyword "Primary Care Physician".
Displaying: 1 - 5 of 5
- Best Practices in Analytics-Powered Bariatric Management Programs
The U.S. is experiencing a crisis in obesity. More than two-thirds of adults in the United States are overweight or obese according to the U.S. Department of Health and Human Services National Institutes of Health (NIH). Obesity contributes to, and worsens, fatty liver disease, diabetes, hypertension, high cholesterol, osteoarthritis and more. Excessive weight also increases the risk of early mortality. Bariatric surgery is a means to address this issue – but it is not a magic bullet, and it is not an easy path.
- Millennials: Who Needs Primary Care Physicians? Give Us On-demand Healthcare
We'd like to extend a big thank you to our guest blog contributor - John Milne, Benefits Consultant, Corporate Synergies®
Millennials, and Generation Z behind them, are changing the way they access healthcare. In fact, 45% of 18- to 29-year-olds say they don’t have a primary care physician.1 Instead, they’re opting for on-demand healthcare.
Traditionally, individuals and families see primary care physicians several times a year and build relationships with their doctors over time. Visiting the same primary care physician when an illness strikes, or for an annual health & wellness checkup, can help the doctor notice changes in a patient’s health and catch issues before they become more serious (and costly).
But for Millennials, having a primary care physician isn’t necessarily a priority.
- Three of the Costliest Health Conditions Ravaging Your Health Plan, and Steps for Prevention
High-cost claimants are only a part of the equation. There is a secondary subset of the insured population who are at-risk of entering the 5-7% of highest cost claimants that predictive modeling can uncover and help address. Not all predictive modeling engines have the capability to identify this subset of the employee population, but with Advanced Plan for Health’s Poindexter’s predictive modeling capabilities, determining the likelihood of an occurrence of coronary events, neurological events, orthopedic events and chronic kidney disease is made easy. Once interventions are made to improve the health of at-risk patients, the analytics system can retrospectively report actual cost versus the original predictive model to measure the positive health and financial effects the interventions created. Without the predictive-modelling enabled ability to identify those at-risk and intervene with targeted prevention strategies, health plan optimization will always be an uphill battle.
- 3 Quick Tips: Open Enrollment
We are now in the midst of open enrollment season, which probably means you have been bombarded with health insurance plan options and are now ready or nearly ready to make a choice. Employer’s want to make sure you choose the plan that not only makes sense to you and your lifestyle, but to the company’s bottom line as well.
Here are a few quick tips to consider in choosing the health plan that works best for both parties.
- Data: Your Secret Weapon
So, where are your hidden health-related cost centers? The same places they’ve always been: In plain sight. But for the lack of data transparency and integration of data tools and services, they remain elusive to spot. To uncover these cost centers, consider partnering with an analytics firm that not only can access data sets from everywhere patients access healthcare, but also combine them to create nuanced action lists.
Displaying: 1 - 5 of 5