Amy Bucher, Ph.D. | Sep 28, 2022 | Behavioral Science, Closing Gaps in Care, Condition Management, Consumer Acquisition & Engagement, Consumer Satisfaction & Loyalty, Digital Health, News
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.
Ashley West and Karilyn Housworth | May 24, 2022 | Behavioral Science, Blog, Briefs
It’s New Year’s Day, 2022, and you just woke up. You pour yourself a cup of coffee and settle into your favorite spot on the couch. As you gaze out the window, you feel a sense of calm and hope. There’s a brand-new year ahead of you. As you think about what lies...
Lirio | May 11, 2022 | Behavioral Science, Blog, Closing Gaps in Care, Consumer Acquisition & Engagement
May 8 – May 14 is National Women’s Health Week (NWHW), a time to focus on and emphasize women’s health. This year’s theme, Forward Focus: Achieving Healthier Futures Together, is about reflecting on individual health needs and actions as well as greater...
Lirio | May 10, 2022 | Behavioral Science, Blog
Our team of academically trained behavioral science experts delivered several presentations on various BeSci topics and how they apply to the Lirio platform
Patrick Hunt | Apr 11, 2022 | Behavioral Science, Digital Health, News
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.
Christopher Symons, Ph.D. | Sep 3, 2021 | Artificial Intelligence, Behavioral Science, Blog
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.
