Diabetes is associated with significant long-term costs for both patients and health systems. Regular primary care visits aligned with American Diabetes Association guidelines could help mitigate those costs while generating near-term revenue for health systems. Digital interventions prompting primary care visits among unengaged patients could provide significant economic value back to the health system as well as individual patients, but only few economic models have been put forth to understand this value. Lirio’s model has been published in JMIR Formative.
Our team of academically trained behavioral science experts delivered several presentations on various BeSci topics and how they apply to the Lirio platform
Editor in Chief of pharmaphorum Jonah Comstock spoke with Amy Bucher, Chief Behavioral Officer for Lirio, about behavioral science and designing for effective behavior change in pharmaphorum’s Health Innovators series.
Lirio’s Behavioral Reinforcement Learning Lab (BReLL) recently published a paper describing a new approach, the Limited Data Estimator, for comparing reinforcement learning policies using limited historical data.