Quality and Patient Safety
Teresa Rincon, BSN, PhD, FCCM (N/A)
Disclosure(s): Baxter Healthcare: Advisory Board (Ongoing), Consulting fees or other remuneration (Ongoing), Fees for Non-CME Services Received Directly from Commercial Interest or their Agents (e.g., speakers' bureaus) (Ongoing); Blue Cirrus Consulting: Consultant (Ongoing), Consulting fees or other remuneration (Ongoing), Salary (Ongoing), Speaker/Honoraria (includes speakers bureau, symposia, and expert witness) (Ongoing); Philips Healthcare: Speaker/Honoraria (includes speakers bureau, symposia, and expert witness) (Terminated, November 30, 2023); Various paid speaking engagements: Speaker/Honoraria (includes speakers bureau, symposia, and expert witness) (Ongoing); Viven Health: Advisory Board (Ongoing), Board Member/Officer/Trustee (Ongoing), Owner/Co-Owner Founder/Co-Founder (Ongoing)
While artificial intelligence (AI) and machine learning (ML) algorithms aim to help us by identifying patterns in complex and diverse data, how do know it we can trust them? Unfortunately, many critical care providers have a limited understanding of what AI is and what it can do. This first presentation will plunge learners into concepts and terms like knowledge representation, neural networks, computer vision, large language models, and natural language processing to have an understanding of AI. In addition, they will have an understanding of where they have been using AI in the past, where AI may improve their workflow in the ICU, as well as how AI can improve the patient and family experience by preventing aspects of post-intensive care syndrome.