Workshop Registration: Virtual Solutions for Substance Use conference

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Thank you for registering for this exciting virtual event. Please select one workshop from each block to attend. Most workshops will be recorded and posted online soon after the event.

To learn more about the workshops and speakers, please visit our website: https://acdresearch.med.ubc.ca/events/virtual-solutions-for-substance-use-care-conferences/virtual-solutions-for-substance-use-care-conference-2022/

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Block 1: Service Development (9:20-10:20am PST)

Chatbots in Substance Use Care (Andy Tai, Jane Kim)

Virtual substitution - Integration of physical and virtual settings (Dr. Michael Krausz)

Overdose prevention and Risk management - RAMP Approach (Dr. Alireza Kazemi)

Blended use of online resources – integration into the current system of education and healthcare (Dr. Jeanette Roerig, Jean Westenberg)

Online resources for the management of Addictive Disorders: Initiatives for South East Asia Region (Dr. Yatan Balhara)

Lightning Talks: Service Development (Multiple presenters)

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Block 2: Improvement of Care (11:15-12:15pm PST)

Digital psychotherapy for substance use – Risk management in RAMP (Ava Outadi)

What works in engagement with online substance use interventions? (Farhud Shams)

The Assist project in Germany (Dr. Maurice Cabanis, Lorenz Sutter)

Controlled Cannabis use – CANreduce 2.0 study in Switzerland (Dr. Michael Schaub)

COGITO - Metacognitive training for Gambling (Swantje Borsutzky)

Lightning Talks: Improvement of Care (Multiple presenters)

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Block 3: Special needs in the clinical trajectory (1:30-2:30pm PST)

The short cut concept for youth (Dr. Fiona Choi)

Users with high-risk self-harm and suicide – crisis line experiences and online potentials (Gurpreet Chopra, Janet Suen, Raha Masoudi)

Implementation of the HABITs platform in school settings for screening and access to digital wellbeing tools (Sarah Hopkins, Karolina Stasiak)

Minder and student substance use (Dr. Daniel Vigo, Melissa Vereschagin, Angel Wang)

Machine learning and prediction of risks (Dr. Raymond Ng)

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