Predictive Analytics

Predictive Analytics Platform, Certilytics to be at AHIP conference

AI-powered population health management and cross-benefit analysis solutions to be highlighted during virtual event
predictive analytics

Certilytics, Inc. today announced it will showcase its healthcare predictive analytics solutions at this year’s AHIP Institute & Expo Online.

The virtual conference will be held June 22-24.

At the event, Certilytics will highlight how it is helping some of the nation’s top health plans differentiate themselves from competitors with unique, value-focused predictive analytics that have led to savings of over $200 PMPY. This will include live demonstrations of how Certilytics’ solutions streamline and strengthen health plans’ ability to align clinical and financial incentives within their own organizations and across provider networks and employers.

Certilytics’ virtual exhibit will also feature an “opportunity calculator,” which will allow attendees to enter basic facts about their population and receive a free, sample report showing areas of opportunity and avoidable overspend. Attendees will also get an inside look at how working with Certilytics enabled one national insurer to reduce the percentage of total costs that were the result of care delivered in a hospital setting from 56% to 38%.

“Health plans need sophisticated capabilities to stand out from their competitors in today’s market,” said Andrew Ottum, Certilytics’ Chief Business Development & Client Deployment Officer. “With the standalone value of discounts decreasing and employers becoming more laser focused on improving members’ health and well-being, AI-powered analytics and a fully modernized approach to data management are now at the center of every health plan’s success and long-term growth strategy.”

“We’re excited to be a part of this year’s AHIP Institute & Expo,” Ottum continued. “Virtual conferences are still an adjustment for everyone involved – but we’re looking forward to engaging with attendees virtually, learning more about their goals for 2021 and beyond, and sharing some exciting news from our side such as new models for predicting High Cost Claimants when there’s a lack of historical data.”

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