Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients

arXiv:2404.05144v1 Announce Type: cross
Abstract: Medical documentation, including discharge notes, is crucial for ensuring patient care quality, continuity, and effective medical communication. However, the manual creation of these documents is not only time-consuming but also prone to inconsistencies and potential errors. The automation of this documentation process using artificial intelligence (AI) represents a promising area of innovation in healthcare. This study directly addresses the inefficiencies and inaccuracies in creating discharge notes manually, particularly for cardiac patients, by employing AI techniques, …

abstract artificial arxiv automation clinical communication continuity cs.cl cs.cv cs.lg documentation documents efficiency errors however llm medical notes patient patient care patients process quality through type