Tag Archives: predictive analytics

A Word from Data Science: What’s Next for Evive Plan Choice

Additional contributors to this post include Vijendra S.K, Saksham Garg, and Ishmeet Singh of the Evive Data Science team.   Evive Plan Choice is a new-generation decision support product for employees who find themselves overwhelmed by their annual enrollment options—and employers who want to help them choose the right option for their individual needs. Without […]

eOS: The Evive Operating System

eOS is the technology platform that fuels our applications, providing the guidance and flexibility people want when using benefits. It’s how employees get ever closer to important things like better health and financial security. And it’s how employers get a stronger bottom line and a thriving workforce. Everybody benefits.

Can Predicting Medical Issues Help Prevent Them?

Imagine: You are in your car, pull up Google Maps, punch in your directions, and get on your way. Halfway through the drive, the app begins to recalibrate, indicating heavy traffic and suggesting an alternate route to get you to your destination faster.  What if a similar platform could give you just as smart of […]

More Than a Hub: Solving All Pain Points with Data-Driven Guidance

You build your benefits ecosystem with offerings that check all the boxes: health insurance, retirement savings, and let’s not forget the work/life perks like employee assistance programs or gym discounts. These are the sorts of things people expect to receive from their employer, and they generally know what problems these benefits will solve. But what […]

Big Data + Little Nudges = Love

Sometimes a nudge is just a nudge. And sometimes, a nudge becomes a revolution. Nudge theory (behavioral economists and social psychologists have many labels for this concept) entered the public conversation more than a decade ago. Some think the landmark book that became the multimedia phenomenon known as Freakonomics had something to do with it, […]

Artificial Intelligence is Everywhere. How Will it Affect Benefits?

Most people know time is of the essence when diagnosing a stroke: the quicker the diagnosis, the better the chances for a good outcome. The Food and Drug Administration recently approved an artificial intelligence app that can identify the possibility of a stroke in about six minutes! The power of AI is undeniable—and it’s everywhere […]

Layer Technology with Human Support: The Importance of Both in Benefits Communications

“Hey, Alexa! Which benefits should I choose?” We may not be that far from the day when artificial intelligence can assess an individual’s unique circumstances, stage in life, number of dependents, and past benefits utilization, and determine an optimal benefits package that is relevant to that person. Or are we already there? Selecting benefits is […]

Recommendation Engines for Healthcare Consumers are Here

A key component of creating healthcare consumers who feel empowered to make decisions that will bring them the most value, is reaching them with relevant, personalized information at just the right time. Real-time predictive guidance technology gives us unprecedented new ways to reach people at the right place and time. Fueled by big data and […]