The webinar will introduce EPINET, discuss how the EPINET learning health care model was developed, and show how it can improve care and the lives of individuals with early psychosis. The audience will learn about the Core Assessment Battery (CAB), which provides a standard set of client-level assessment measures that will be collected by over 100 early psychosis clinics nationally. Presenters will discuss the benefits of collecting CAB data, such as the enhanced ability to set up quality improvement initiatives and methods to benchmark local clinic outcome data with national norms on domains such as demographics of client populations, symptoms, recovery, and more. Finally, presenters will describe opportunities for non-EPINET clinics to partner with EPINET in CAB data collection efforts.

Presenter: Tara Niendam, PhD; Howard Goldman, MD; Abram Rosenblatt, PhD; Monica Calkins, PhD

For complete details visit: https://med.stanford.edu/peppnet/education/upcoming-webinars.html