Testing an mHealth System for Individuals With Mild to Moderate Alcohol Use Disorders: Protocol for a Type 1 Hybrid Effectiveness-Implementation Trial

The extent of human interaction needed to achieve effective and cost-effective use of mobile health (mHealth) apps for individuals with mild to moderate alcohol use disorder (AUD) remains largely unexamined. This study from HIP Investigator Dr. Andrew Quanbeck seeks to understand how varying levels of human interaction affect the ways in which an mHealth intervention… Read more »

Statewide Partnership to Advance Health Equity Launches “Healthy Metric”

Healthy Metric went live today, releasing five new brief reports focused on health disparities in Wisconsin. These first reports provide an initial look at the impact the COVID-19 pandemic has had on health and health disparities. The first five reports provide an initial look at the impact the COVID-19 pandemic has had on health and… Read more »

Dashboarding for Machine Learning-based Clinical Decision Support Implementation and Monitoring Toolkit available on HIPxChange

Machine learning-based clinical decision support (ML-CDS) tools hold enormous promise to simultaneously improve clinical care and reduce clinician burden. ML-CDSs can streamline the process of identifying the right care for the right patient and presenting that information to providers at the right time. However, many challenges with ML-CDS still exist, and these tools require monitoring… Read more »

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HIPxChange Toolkits

HIP supports the development and dissemination of tools for evidence-based health system and healthcare change through its website, HIPxChange. HIPxChange accelerates the translation of new and existing knowledge into clinical and community practice to improve healthcare delivery and health outcomes.

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