Speaker: Arjun Athreya, M.S., Ph.D. 

Title: Digital Health Technology and AI in Psychiatry and Psychology

Introduction:  Dr. Arjun P. Athreya is the Associate Dean of Faculty in the Mayo Clinic Graduate School of Biomedical Sciences and an Associate Professor of Pharmacology and Psychiatry in the College of Medicine at Mayo Clinic. As a Principal Investigator, his program of research is training-centered and is supported by NSF, ARPA-H, and NIH with a focus on innovating engineering technologies for mental health and health sciences broadly. As the Director of the Mayo Clinic Health Engineering and Analytics Laboratory (HEAL), his research team builds end-to-end computer engineering systems to enable precision medicine and improve health and well-being. One of our focus areas conducts longitudinal, decentralized digital health studies using wearables such as smartwatches and artificial intelligence approaches to amass physiological and psychological data for prediction of pharmacological effects, health outcomes, including mental wellness, burnout, and overall wellbeing.  

Learning Objectives: 
Upon completion of this activity, participants should be able to:

• Distinguish Digital Health in Psychiatry. 

• Describe how Digital Health Technology can be used for predicting long-term behavior change. 

• Describe how Digital Health Technology can be used for predicting short-term behavior change.  

ATTENDANCE / CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

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