Package Description

You must register for the webinar. Once you have successfully registered, you will be redirected back to this learning center where you can start the course. You will also receive an email with a link to this course.

Description: 
In an era where technology intersects with mental health care, my presentation explores the dynamic role of Artificial Intelligence in Behavioral Health. Aimed at clinicians and practices navigating technology in behavioral health, this presentation provides a roadmap for integrating AI into behavioral health practices, with a focus on practical strategies, protection, and ethical considerations.Key Areas of Coverage:1. Understanding AI in General and in Behavioral Health: How does AI work. Stigmas and positives. An overview of current AI applications in behavioral health, discussing both potential benefits and challenges. I’ll also address ethical concerns such as privacy, security, and client/patient consent.2. Strategic Assessment: I’ll introduce a vendor assessment workbook for download via QR code, guiding participants through the critical process of evaluating AI tools and vendors. This includes assessing AI solutions for compatibility with clinical needs, technical infrastructure, compliance with healthcare regulations, and alignment with organizational needs.3. Developing an AI Strategy: A step-by-step approach to formulating an AI strategy in behavioral health settings. I’ll cover how to align AI initiatives with the broader goals of the organization, budgeting, and creating a phased implementation plan.4. Implementation and Outcomes: Focusing on practical implementation, this section includes a discussion on staff enablement and integrating AI tools into existing workflows. Participants will also receive a section in the workbook to help them define and measure success metrics, ensuring that AI deployment is aligned with the business goals of their behavioral health organization.5. Real world example: I will provide an example of an AI based documentation tool implemented into a behavioral practice and how it improved their business; including a reduction to clinician burnout, increased revenue, and employee satisfaction.6. AI in the future: We conclude with a forward-looking perspective on the future of AI in behavioral health, discussing emerging trends, ongoing research, and how AI will further transform mental health care.Your members will leave with a deeper understanding of AI's role in behavioral health, equipped with practical tools and strategies to assess, strategize, and implement AI solutions effectively within their organizations.

Number of CE credits offered: 1 CE

Program level: Introductory

Learning Objectives:

• Understanding AI in General and Behavioral Health Contexts: Learners will be able to articulate the foundational concepts of artificial intelligence (AI) and its applications within the field of behavioral health.
• Assessing and Evaluating AI Tools and Vendors: Learners will demonstrate the ability to critically assess and evaluate AI tools and vendors, focusing on relevance, efficacy, and ethical considerations in the context of behavioral health.
• Developing a Strategy for AI Integration in Practice: Learners will acquire the skills to develop comprehensive strategies for the integration of AI technologies into their behavioral health practice, considering both clinical and administrative implications.
• Implementing AI in Operational Processes: Learners will learn to implement AI technologies into existing operational processes of their practice, ensuring seamless integration, staff training, and evaluation of impact on service delivery.

Speaker: Ross Young, CEO, Clinical Notes AI, Inc.