AI and Physiatry: Opportunities, Pitfalls, and Discussions-Session Recording

Video Transcription

Video Summary

The panel discussion focused on the application of artificial intelligence (AI) in clinical, administrative, and educational settings. Evan Sheldon, a clinical assistant professor, introduced AI as a tool that has presented both opportunities and challenges across various fields. AI has rapidly become an integral part of society, leading to questions about how it might change job functions, particularly within healthcare.<br /><br />Richard Kaplan emphasized AI's utility in searching medical literature and summarizing patient records, advocating caution against using AI for clinical charting due to potential for errors. He shared tools and approaches for integrating AI in medical practice and research, emphasizing that AI should supplement rather than replace human analysis.<br /><br />Mike Salino discussed using AI in administrative tasks, sharing a personal experience of implementing a policy to mitigate clinician burnout. He highlighted AI's role in assisting with predictive modeling and decision-making processes, stressing the importance of human oversight alongside AI.<br /><br />Jen Zumsteg discussed AI's potential in educational contexts, noting both opportunities and risks. She pointed out that AI could assist in program administration and application processes by generating summaries and templates, highlighting the importance of considering confidentiality and data privacy.<br /><br />The discussion included real-life applications of AI tools such as ambient scribe technologies like DAX, reflecting mixed results on their effectiveness and accuracy. Participants emphasized the necessity of understanding institutional policies on AI use, data privacy, and the importance of maintaining rigorous oversight to complement AI's capabilities.

Keywords

artificial intelligence

clinical settings

healthcare

medical literature

patient records

predictive modeling

decision-making

educational contexts

data privacy

ambient scribe technologies

institutional policies