Webinar

Towards scalable digital mental health interventions: Understanding and optimising models of care

Date

15 October 2025
1 pm – 2 pm (AEDT)
7 pm – 8 pm (PDT)

Delivery

Online
Professionalism Trainees

About

Considerable evidence has suggested that digital mental health interventions are effective, especially for common mental health issues like anxiety, depression, and sleep. 

However, these interventions face considerable challenges to uptake and implementation. 

In this session, Dr Stephen Schueller will summarise the current state of digital mental health interventions and provide examples of projects focused on their dissemination and implementation with a focus on delivering effective and scalable options. 

These projects explore different models of human support and technological intervention to emphasize the focus on digital mental health interventions not as products, but as technology-enabled services. 

Register now to secure your place at this insightful and exclusive RANZCP webinar!

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Speakers

Professor Stephen Schueller

Stephen Schueller, PhD is a Professor of Psychological Science and Informatics at the University of California, Irvine.

He received his bachelor’s degree in psychology from the University of California, Riverside, his PhD in clinical psychology from the University of Pennsylvania and completed his clinical internship and postdoctoral fellowship at the University of California, San Francisco as part of the Public Health and Minority Cluster at San Francisco General Hospital.

As a clinical psychologist and mental health services researcher, Dr. Schueller’s work focuses on how technology can improve mental health services by expanding access and improving accessibility.
This includes the development, evaluation, and implementation of digital mental health treatments in diverse settings and populations.

At UCI, he directs the Technology and Mental Health (TEAM) Lab, is the Director of the Dissemination and Implementation Unit for the Institute of Clinical and Translational Science and is a member of UCI’s Connected Learning Lab and the Jacobs CERES Center.

He is a founding board member of the Society for Digital Mental Health and a panel member on the American Psychological Association’s Clinical Practice Guideline for the Treatment of Depression.  

Stephen Schueller, PhD is a Professor of Psychological Science and Informatics at the University of California, Irvine.

He received his bachelor’s degree in psychology from the University of California, Riverside, his PhD in clinical psychology from the University of Pennsylvania and completed his clinical internship and postdoctoral fellowship at the University of California, San Francisco as part of the Public Health and Minority Cluster at San Francisco General Hospital.

As a clinical psychologist and mental health services researcher, Dr. Schueller’s work focuses on how technology can improve mental health services by expanding access and improving accessibility.
This includes the development, evaluation, and implementation of digital mental health treatments in diverse settings and populations.

At UCI, he directs the Technology and Mental Health (TEAM) Lab, is the Director of the Dissemination and Implementation Unit for the Institute of Clinical and Translational Science and is a member of UCI’s Connected Learning Lab and the Jacobs CERES Center.

He is a founding board member of the Society for Digital Mental Health and a panel member on the American Psychological Association’s Clinical Practice Guideline for the Treatment of Depression.  

Disclaimer 

This session is a member benefit of the RANZCP and for educational purposes only. The information may represent views of the author and not necessarily the views of the College. Information is subject to change and the College does not warrant that the information is current at the time of viewing and accepts no liability for any loss or damage suffered by you or a patient directly or indirectly as a result of relying on information provided and should not be a substitute for individual clinical judgement. By accessing e-learning sessions you also agree to the RANZCP Website Terms of Use Agreement.