Nurse handoff notes are a critical component of patient care, ensuring smooth transitions between shifts and across departments, and preventing communication breakdowns that can lead to errors and patient safety risks. The Joint Commission has identified communication breakdown as a primary and ongoing contributor to sentinel events; and both The Joint Commission and Agency for Healthcare Research and Quality strongly support the use of standardized communication tools. Recent results from the AHRQ 2022 Survey on Hospital Patient Safety Culture indicate there are still significant issues with the quality and completeness of information exchange from one unit to another. Several mnemonics are available to guide clinicians in the efficient communication of all critical information; SBAR (Situation, Background, Assessment, Recommendation) has become the most widely used framework, likely due to its simplicity, clear organization of information, and the ability to harmonize different communication styles. However, the challenge is supporting nurses to uniformly adopt and integrate the SBAR format into their workflows; according to a recent systematic review, the use of EHR-based tools for the nurse handoff has been demonstrated to promote the timely and accurate completion of handoff notes, as well as improve the overall quality and satisfaction with the communication process. This presentation explores the potential of generative AI to streamline and enhance the process of nurse handoff documentation, improving both the efficiency and quality of communication between clinicians. It describes the real-world application of generative AI to create an SBAR-formatted handoff note for patient transfers from ED to inpatient setting at a large, non-profit health system. The case study provided will examine change management processes associated with the integration of novel AI technology, including organizational and end-user education required and collection of end-user feedback; it will also outline the introduction of a new standardized workflow and identification of throughput metrics to monitor workflow performance. By leveraging large language models, generative AI can augment the creation of concise, standardized, and comprehensive handoff notes that capture vital patient information, reduce errors, and ensure continuity of care.