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Anticipated Regret: Why Pondering an Unpleasant Future Can Change Your Behavior Now

Anticipated Regret: Why Pondering an Unpleasant Future Can Change Your Behavior Now

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...
Celebrating National Women’s Health Week: How to Drive Healthy Behavior

Celebrating National Women’s Health Week: How to Drive Healthy Behavior

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...
3 Keys to the Future of Behavioral Medicine

3 Keys to the Future of Behavioral Medicine

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

Health Innovators – Amy Bucher

Health Innovators – Amy Bucher

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.

Lirio Research: A Novel Policy Comparison Metric for Reinforcement Learning

Lirio Research: A Novel Policy Comparison Metric for Reinforcement Learning

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.

Understanding Ingroup/Outgroup Bias to Drive Better Health Outcomes

Understanding Ingroup/Outgroup Bias to Drive Better Health Outcomes

Patrick Hunt | Jun 11, 2021 | Behavioral Science, Blog, Closing Gaps in Care

Learn how health systems can use ingroup/outgroup bias to improve patient engagement and move patients to healthier behaviors.

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