Risk score methodologies are essential to getting the most from your healthcare and benefits data. Here's why Artemis Health is switching to Milliman Advanced Risk Adjusters (MARA) to replace the Johns Hopkins methodology.
How To Track The Success Of Your Telemedicine Benefits
With the rising popularity of telemedicine services, benefits teams are also tasked with making sure they’re getting the most from their investment. Here are a few ways our customers are using data to track the success of their telemedicine benefits.
Three Reasons Innovative Benefit Teams Are Looking Beyond Carrier Reports For Data Insights
Some benefit professionals are working on puzzles with the pieces missing. They tell us, “We have our carrier reports, so we don’t need a data partner.” But if you’re relying on carrier reports, you aren’t getting holistic, actionable insights.
How Do Your Benefits Stack Up?
Galileo suggested that we “Measure what is measurable, and make measurable what is not so.” Easier said than done. Because every business and population face unique challenges, unique situations, and unique needs, it’s a big ask to “make measurable what is not so.”
How to Track and Address Low Back Pain in Your Benefits Data
You’ll find members suffering from low back pain in just about every member population, and it can be a high-cost condition for both employers and employees. Here’s how we’re addressing it with benefits data.
The "Home Alone Burglars" Would Have Been High Cost Claimants
When you rewatch the classic holiday movie “Home Alone” as an adult, it’s hard to understand why those burglars were so persistent. Sure, little Kevin and his house made a great target, but one might think after the first BB-gun shot to the face, you’d find an easier target (and seek care at an emergency room).
Do You Have One Hour A Week To Improve Your Benefits?
Time and resources. It’s one of the top five things we hear from employers when we ask why they’re not using a benefits data tool. However, even with the barrier of time, 89% of employers said they’re very likely or somewhat likely to use benefits data analytics in the next 12-18 months.