Artificial Intelligence as a Decision Making Tool in Emergency Department

This is a mixed-methods study combining a prospective controlled component and a retrospective chart review. Prospective Component * Setting: Emergency Department, Rambam Health Care Campus * The LLM will receive structured patient input (chief complaint, vitals, relevant history, laboratory and imaging results) via a secure interface. * LLM-generated recommendations will be logged and made available to the treating physician; final clinical decisions remain entirely with the physician. * The system operates in decision-support mode only it does not autonomously initiate any clinical action. Retrospective Component • De-identified historical ED records will be used to evaluate LLM performance against documented clinical outcomes. Primary metrics: diagnostic concordance, appropriateness of suggested workup, and disposition accuracy.