• Title: The State of AI: Critical Trends for Responsible Adoption in CPD • Learning Objectives: o Evaluate the critical, real-time trends and evolving capabilities of AI tools currently impacting the field of continuing healthcare education. o Identify the top ethical, compliance, and data privacy challenges that define the responsible integration of AI in CE/CPD. • Speakers: Nuria Negrão, PhD and Greg Salinas, PhD • Moderator: David Mullins, CHCP

Learning Objectives: Describe the current state of AI adoption and governance gaps in CE. Apply a 10-point framework to your organization to identify governance risks and capability gaps. Interpret self-check results to prioritize areas of highest exposure. Speakers: Carlye Armstrong, CHCP, Vice President, Twelve:01 Consulting Annika Borvansky, MA, CHCP, President, Twelve:01 Consulting Moderators: Greg Salinas, PhD This 60-minute webinar counts for 1 hour toward CHCP certification or recertification! Apply it to CPD Informal Education/Engagement.

• Description: o Ever wondered what it takes to build an AI coach that actually helps learners? We'll go hands-on with the technical side—specifically, how to use APIs to add custom AI interactions to your courses—and build one live! You'll see how AI coaches are changing the game for learners and what you need to think about when designing with this technology. You'll get a free trial of Artha's coach making platform to make it simple for you to test and try, but the principles can be applied widely without any particular tool. o Discover how artificial intelligence can transform the way you approach performance support and training. In this interactive session, we’ll explore how to design AI-powered coaching abilities right within your authoring tools (like Storyline/Rise/Captivate) and in your LMS - that make learning more personalized, engaging, and scalable for your employees. o Imagine creating training experiences that feel like one-on-one coaching—where employees can practice real-world scenarios, get instant feedback, and receive support tailored to their unique needs. We’ll dive into practical ways to use AI to build role-play simulations, assess open-text responses, and deliver real-time, actionable feedback that drives better learning outcomes. • Learning Objectives o Understand the fundamentals of AI-powered coaching and its application in corporate training o Learn how to design AI-driven role-plays and simulations for real-world skill development o Explore methods for providing personalized feedback and adaptive learning experiences o Gain insights into leveraging AI to improve employee engagement and performance o Participate in hands-on activities and discussions to spark ideas for your organization • Speakers: Garima Gupta, M.ed. • Moderator: Núria Negrão, PhD; David Mullins, CHCP; Greg Salinas, PhD

Learning objectives: 1. Identify innovative metrics for assessing educational effectiveness. 2. Discuss informal and formal qualitative analysis assessment strategies 3. Apply strategies to use measured outcomes for internal and external stakeholders

Learning Objectives: o Describe the role of motivational interviewing (MI) in improving patient engagement and treatment adherence across various therapeutic areas o Summarize the historical development of MI training in medical education and explain why current approaches consistently fall short of producing sustained behavior change. o Distinguish between knowledge and competency gains in MI training and explain why transcript-level behavioral data reveals performance gaps that traditional assessments miss. o Analyze how AI virtual patient simulation addresses the confidence and capability gaps identified in the ALET Collaboratory Blueprint's 8-stage pathway from awareness to sustained clinical action. o Evaluate early outcomes from an AI-driven CME activity on motivational interviewing for obesity care, including changes in knowledge, self-reported confidence, and observed simulation performance across thousands of sessions.

Description: When it comes to CME compliance, sometimes things aren’t what they seem. In this session, we’ll lift the curtain on real-life accreditation scenarios—some wild, some weird, all real—and explore how they were handled. Join us to find out who finds true compliance… and who gets left unaccredited. Learning Objectives: • Identify common compliance risks and red flags in accredited education activities. • Review accreditation requirements and best practices to resolve complex compliance situations. • Evaluate strategies for maintaining independence and transparency across varying accrediting bodies.

1. Map the journey of interprofessional continuing education by describing its historical evolution and core purpose, establishing our starting point "A" (current practice) and destination "B" (desired collaborative outcomes). 2. Apply evidence-based design principles for interprofessional continuing education by identifying who should "share the ride" (which professionals) and selecting the optimal route through cognitions, affect, and behaviors. 3. Utilize master adaptive learning strategies by engaging in reflective practice—using the "rearview mirror" to examine past instructional designs and the "side mirrors" to check current approaches—to continuously improve interprofessional education.

Learning Objectives 1. Identify different AI platforms relevant to CME/CPD and differentiate their potential applications in data analytics, content development, gap analysis, and outcome measurement. 2. Formulate effective AI prompts and apply best practices to optimize AI tools for accurate, ethical, and actionable use in CME/CPD. Objective 1 Identify different AI platforms relevant to CME/CPD and differentiate their potential applications in data analytics, content development, gap analysis, and outcome measurement. Question 1 What are some of the most relevant AI platforms currently being applied in CME/CPD, and how do their strengths differ? Question 2 How can CME/CPD professionals decide which AI platform is most appropriate for a given educational challenge? Objective 2 Formulate effective AI prompts and apply best practices to optimize AI tools for accurate, ethical, and actionable use in CME/CPD. Question 1 What makes an AI prompt effective in generating useful outputs for CME/CPD? Question 2 What best practices should be followed to ensure AI is used responsibly and ethically in CME/CPD?

The new CHCP self-assessment exam is designed to help candidates evaluate their knowledge across the ten Learning Domains that form the foundation of the Certified Healthcare CPD Professional (CHCP) credential. This updated version includes detailed feedback for each question, explaining why each answer is correct or incorrect. This feature helps deepen understanding of key concepts and supports more focused exam preparation.

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