Course Overview

The Future of Mental Health

In this course, learn about precision mental health, scalable data-driven technologies and neuroscientific innovations.
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2023 Annual Conference

October 6-8, 2023

Required Lessons

1 lesson with video, quiz, and evaluation

Time to Complete

43 minutes

CME Eligible*

.75 credit(s)

Detailed Course Info

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Course Description
Learning Objectives
Accreditation/CME

Course Description

Dr. Mishra will discuss precision mental health, scalable data-driven technologies and neuroscientific innovations that are enhancing our understanding of the diverse nature of mental health that can be unique to each individual. She will show how closed-loop learning applications are applicable in this context and provide exemplar of partnerships with communities and clinics to promote personalized wellbeing. 

Accreditation/CME

Accreditation Statement

This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the University of California, Irvine School of Medicine and the Academy of Integrative Health & Medicine. The University of California, Irvine School of Medicine is accredited by the ACCME to provide continuing medical education for physicians. 
The University of California, Irvine School of Medicine designates this enduring material for a maximum of .75 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity. All other healthcare professionals completing this activity will be issued a certificate of participation. 
To successfully earn credit, participants must review the content, complete a quiz with a score of 75% or higher, and submit an evaluation. This course is CME-eligible ending on October 5, 2024. After this date, you will continue to have access to your purchased content, however you will no longer be able to claim CME credits for your participation in the course.

California Assembly Bill 1195 and 241

This activity is in compliance with California Assembly Bill 1195 and 241, which require CME activities with patient care components to include curriculum in the subjects of cultural and linguistic competency & implicit bias. It is the intent of AB 1195 and AB 241 to encourage physicians and surgeons, CME providers in the State of California, and the Accreditation Council for Continuing Medical Education to meet the cultural and linguistic concerns of a diverse patient population and reduce health disparities through appropriate professional development. Please see the CME website, www.meded.uci.edu/cme, for AB 1195 and AB 241 resources.
For questions about CME credit, please contact us at https://www.aihm.org/contact/. The views and opinions expressed in this activity are those of the faculty and do not necessarily reflect the views of the University of California, Irvine School of Medicine and/or the Academy of Integrative Health & Medicine.
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Learning Objectives

By the end of the course, learners will be able to:
  • Attendees will learn how new neural and cognitive technology approaches are being embedded in clinical translational settings to enhance evaluation of mental health.
  • Attendees will learn the concept of closed-loop applications in mental wellness.
  • Attendees will learn application of AI/machine learning for personalized solutions that inform patient stratification to different interventions.

What's included in this course?

This course includes the following:
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  • Video Recording
  • Downloadable Audio
  • Speaker Handout(s)
  • Quiz
  • Evaluation
  • Certificate of Completion
  • CME/CEUs

Course Outline

Meet Your Faculty

Jyoti Mishra, PhD, MBA

Dr. Mishra is trained in the cognitive, computational and translational neurosciences. She is the founder and director of the Neural Engineering and Translational Labs (NEATLabs) in the department of Psychiatry at UC San Diego, and also the co-director of the UC Climate Change and Mental Health Initiative. Her lab develops digital health and neuro-technologies for mental healthcare. She emphasizes accessible tech implementation for our diverse communities and solutions that can help address important issues including sustainable psychological health and wellbeing, as well as resilience in the context of climate change. Her research is regularly featured in the media, recently in the TIME magazine, The Hill, Washington Post, World Economic Forum, Scientific American, among others.

Disclosure

No financial relationships with any ineligible companies to disclose.