video1.0<iframe src="https://www.loom.com/embed/5453f9dd4b89407d93a0e08428267941" frameborder="0" width="1660" height="1245" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12451660Loomhttps://www.loom.com12451660https://cdn.loom.com/sessions/thumbnails/5453f9dd4b89407d93a0e08428267941-8a94897e707b8369.gif231.169In this video, I discuss the pressing issue of physician burnout, primarily driven by lost time to HR systems. We are developing a residency-like environment for clinical AI agents, allowing them to learn in an IRBA setting. Unlike traditional question-answering tasks, these agents must integrate multiple data points and reason across them, which requires reinforcement learning rather than a simple API call. We also address privacy concerns and the need for medical reasoning by simulating real-world interactions with fire servers. My goal is to create a small, efficient model that assists doctors, freeing them to focus on what only they can do.