Teladoc Health (NYSE: TDOC), the global leader in whole-person virtual care, released new data today from two studies, presented at the American Diabetes Association’s 84th Scientific Sessions, that illustrate the company’s unmatched predictive modeling capabilities to help members with type 2 diabetes control their blood sugar through participation in Teladoc Health’s diabetes management program.
The new data shows a 3X increase in engagement leading to an additional 0.4 reduction in A1c (8.2 to 7.8) for members targeted with personalized health nudges (notifications that are sent to mobile or cellular connected devices) after being identified as at-risk for uncontrolled diabetes through artificial intelligence (AI). Additionally, diabetes members that received personalized next-best actions, powered by predictive modeling, in their weekly email were 50% more likely to engage with a health coach.
“Teladoc Health has a long-standing history of successfully using data to improve health outcomes for our members, and new applications of AI are helping us accelerate our impact,” said Sal Shafiq, chief data and analytics officer at Teladoc Health. “Our ability to use data to empower members in the moment is crucial, but the true power lies in our ability to predict health risks and make prevention a reality.”
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