The Virtual Immersive on Digital Psychiatry will cover a range of sessions highlighting the integration of emerging technologies in mental health care.
The event will begin by exploring the expanding digital health market, focusing on barriers to the adoption of digital interventions and strategies for increasing patient and clinician engagement. A case study on blended care models will demonstrate how combining human and digital care can improve access and quality. Another session will delve into the history, current use, and future potential of extended reality (XR) in enhancing evidence-based psychotherapies. Additionally, AI technology, including large language models (LLMs) and generative AI, will be discussed in depth.
These sessions will explore AI’s applications in psychiatric diagnosis and education, while addressing biases, risks to privacy, and challenges in ensuring safe and effective use. The event will equip participants with key knowledge to harness these technologies in psychiatric practice, emphasizing their benefits while mitigating associated risks.
Format
Live Virtual Event
Note: this event is ONLY available to view live on November 5, 2024 from 8:30 AM - 5:00 PM Eastern Standard Time.
Learning Objectives:
By the end of this learning event, learners will be able to:
- Review the market for digital mental health interventions
- Learn about the gap between the expanding digital health market and limited adoption of digital interventions
- Discuss barriers to integration of digital treatments in clinical care
- Explore the literature supporting human interaction as critical to patient engagement with digital interventions
- Introduce a case study of blended care and review key principles of digital integration
- Define and distinguish the terms extended reality (XR), virtual reality (VR), mixed reality (MR), augmented reality (AR).
- Evaluation of the evidence for XR in enhancing clinical outcomes
- Identify barriers to integrating XR into clinical care
- Identify resources for developing skills and best practices in utilizing XR behavioral health
- Identify how common language models handle psychiatric queries, particularly psychiatric emergencies.
- Identify evidence of bias in AI models as it relates to psychiatric diagnosis.
- Identify strategies to improve the ability of an AI model to recognize and respond to psychiatric emergency.
- Define key concepts in artificial intelligence, including generative AI, large language models (LLM’s), neural networks, machine learning, deep learning, and natural language processing
- Explore strategies for integrating AI concepts and tools into psychiatry education curriculum to enhance trainees’ knowledge and learning experience
- Discuss potential biases in AI-driven educational tools and understand the ethical implications of utilizing AI in education to ensure equitable learning experiences for all students.
- Show trends in existing policies that address AI in education
References
- Praptap et al. 2020. Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants. NPJ Digit Med. 3:21.
- Mohr et al. 2019. A randomized noninferiority trial evaluating remotely-delivered stepped care for depression. Behav Res Ther. 123:103485.
- Connolly et al. 2021. Digital Clinics and Mobile TEchnology Implementation for Mental Health Care. Curr Psychiatry Rep. 23(7):38.
- Bell, I.H., Pot-Kolder, R., Rizzo, A. et al. Advances in the use of virtual reality to treat mental health conditions. Nat Rev Psychol 3, 552–567 (2024). https://doi.org/10.1038/s44159-024-00334-9
- Schröder D, Wrona KJ, Müller F, Heinemann S, Fischer F, Dockweiler C. Impact of virtual reality applications in the treatment of anxiety disorders: A systematic review and meta-analysis of randomized-controlled trials. J Behav Ther Exp Psychiatry. 2023 Dec;81:101893. doi: 10.1016/j.jbtep.2023.101893. Epub 2023 Jul 1. PMID: 37453405.
- Paul M, Bullock K, Bailenson J, Burns D. Examining the Efficacy of Extended Reality-Enhanced Behavioral Activation for Adults With Major Depressive Disorder: Randomized Controlled Trial. JMIR Ment Health. 2024 Apr 15;11:e52326. doi: 10.2196/52326. PMID: 38437873; PMCID: PMC11058556.
Target Audience
Psychiatrists
Instructional Level
Intermediate
Estimate Time to Complete
Estimated Duration: 7.0 hours (excluding breaks)
Program Start Date: November 5, 2024
Program End Date: November 5, 2024
Credit must be claimed by February 4, 2025.
Schedule:
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Time (ET)
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Session
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Speaker
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8:30 AM – 9:30 AM:
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Evaluating AI, Apps, and Digital Solutions
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Steven Chan, MD, MBA
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9:30 AM – 10:30 AM:
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Integrating Data from Smartphones & Wearables into Psychiatric Clinical Practice
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Justin Baker, MD, PhD
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10:30 AM – 10:45 AM:
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Coffee Break
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10:45 AM – 11:45 AM:
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The Practice & Potential of Using Extended Reality (XR) in Psychiatry
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Kim Bullock, MD
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11:45 AM – 12:45 PM:
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Integration of Digital Mental Health Interventions in Clinical Settings
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Sara Johansen, MD
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12:45 PM – 1:30 PM:
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Lunch
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1:30 PM – 2:30 PM:
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Ethical Considerations While Using Large Language Models
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Darlene King, MD
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2:30 PM – 2:45 PM:
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Coffee Break
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2:45 PM – 3:45 PM:
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AI in Psychiatric Education
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Darlene King, MD
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3:45 PM – 4:45 PM:
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Mental Health Risk & AI
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Declan Grabb, MD
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4:45 PM – 5:00 PM:
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Closing Remarks
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Manu Sharma, MD
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Full schedule coming soon. All times will be listed in EST.
How to Earn Credit
Participants who wish to earn AMA PRA Category 1 Credit™ or a certificate of participation may do so by viewing the live presentation and completing the evaluation. After evaluating the program, course participants will be provided with an opportunity to claim hours of participation and print an official CME certificate (physicians) or certificate of participation (other disciplines) showing the event date and hours earned.
Continuing Education Credit
In support of improving patient care, the American Psychiatric Association is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
Physicians
The APA designates this live event for a maximum of 7.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Faculty and Planner Disclosures
The American Psychiatric Association adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Medical Education. Any individuals in a position to control the content of a CME activity — including faculty, planners, reviewers or others — are required to disclose all relevant financial relationships with ineligible entities (commercial interests). All relevant conflicts of interest have been mitigated prior to the commencement of the activity.
Instructors
- Steven Chan, MD, MBA
- Justin Baker, MD, PhD
- Kim Bullock, MD
- Sara Johansen, MD
- Darlene King, MD
- Declan Grabb, MD
- Manu Sharma, MD
Planners
- Vishal Madaan, MD, APA Deputy Medical Director, Reports no financial relationships with commercial interests.
Accessibility for Participants with Disabilities
The American Psychiatric Association is committed to ensuring accessibility of its website to people with disabilities. Please contact the American Psychiatric Association at 202-559-3900, if you require assistance seven (7) business days prior to the start of a live webinar.
Technical Requirements
This internet-based CME activity is best experienced using any of the following:
- The latest and 2nd latest public versions of Google Chrome, Mozilla Firefox, or Safari
- Internet Explorer 11+
This Web site requires that JavaScript and session cookies be enabled. Certain activities may require additional software to view multimedia, presentation, or printable versions of the content. These activities will be marked as such and will provide links to the required software. That software may be: Adobe Acrobat Reader, Microsoft PowerPoint, and Windows Media Player.
Optimal System Configuration:
- Browser: Google Chrome (latest and 2nd latest version), Safari (latest and 2nd latest version), Internet Explorer 11.0+, Firefox (latest and 2nd latest version), or Microsoft Edge (latest and 2nd latest version)
- Operating System: Windows versions 8.1+, Mac OS X 10.5 (Leopard) +, Android (latest and 2nd latest version), or iOS/iPad OS (latest and 2nd latest version)
- Internet Connection: 1 Mbps or higher
Minimum Requirements:
- Windows PC: Windows 8.1 or higher; 1 GB (for 32-bit)/2 GB (for 64-bit) or higher RAM; Microsoft DirectX 9 graphics device with WDDM driver; audio playback with speakers for programs with video content
- Macintosh: Mac OS X 10.5 or higher with latest updates installed; Intel, PowerPC G5, or PowerPC G4 (867MHz or faster) processor; 512 MB or higher RAM; audio playback with speakers for programs with video content