AI Unplugged: What Every PA Needs to Know
November 7, 2025 from 1:30pm MST to 2:20pm MST
AI Unplugged: What Every PA Needs to Know
David Beck Jr., EdD, MPAS, PA-C, DFAAPA Dipu Patel, DMSc, MPAS, PA-C, ABAIM Gabe Demone, CD, BSc-PA, BSc, CCPA
Description
Artificial intelligence (AI) is changing healthcare by enhancing diagnostics, optimizing treatment plans, and streamlining administrative tasks. However, despite its growing presence, misconceptions persist about its capabilities and limitations. The aim of this presentation is to demystify AI in healthcare by addressing three key objectives: explaining fundamental AI concepts, identifying common misconceptions, and exploring practical ways to advocate for responsible AI adoption in clinical settings.
First, we will provide a foundational overview of AI, covering core concepts such as machine learning, natural language processing, and generative AI. We will showcase current applications in healthcare, including predictive analytics, personalized medicine, and diagnostic support, highlighting both the potential and the limitations of these technologies.
Next, we will discuss prevalent misconceptions, such as the fear that AI will replace healthcare professionals or that it can operate without human oversight. By clarifying the human-in-the-loop approach and the importance of critical thinking, we will demonstrate how AI can augment, rather than replace, clinical judgment.
Finally, we will explore practical strategies for healthcare professionals to stay informed about AI advancements and advocate for its ethical use. Emphasis will be placed on engaging in professional development, participating in interdisciplinary collaborations, and advocating for patient-centered and transparent AI policies.
Learning Objectives
At the conclusion of this session, the participant will be able to:
- Explain the fundamental concepts of AI and its current applications in healthcare
- Identify common misconceptions about AI and clarify its limitations and capabilities
- Explore practical ways to stay informed and advocate for responsible AI adoption in clinical settings