DarioHealth (NSDQ:DRIO) recently presented data supporting its artificial intelligence (AI)-powered diabetes management platform.
New York-based Dario’s research examined users who were given access to a new product experience designed to drive better health habits and behaviors through its AI-driven personalization engine.
According to a news release, results —presented at the American Diabetes Association (ADA) 81st Scientific Sessions — for close to 10,000 members suggested that personalized interventions better help users understand the relationship between their behaviors and their health indicators, with user engagement increasing by 56% compared to the engagement baseline of all users before the new experience.
Results remained stable, with average ratios of high-blood glucose readings (180-400 mg/dL) reducing by 12% over six months, Dario said.
A second study of 11,101 high-risk, type 2 diabetic members after 12 months of engagement found that the average ratio of target in-range readings increased significantly from 28.4% to 54.8%, while the average number of days between blood glucose readings (recency) for Dario members was 3.3 days.
“Consistent self-management of health conditions is one of the most crucial healthy behaviors we can help our members develop, and also one of the most difficult,” DarioHealth scientific & clinical director Yifat Hershcovitz said in the release. “Customizing the experience of health management with real-time data and feedback to offer tangible, actionable insights drives better engagement which leads to positive behavior change and improved clinical outcomes.”
“This study offers yet more data supporting our personalized approach as a means to drive sustainable behavior change for improved clinical outcomes,” added DarioHealth CMO Dr. Omar Manejwala.
