Leveraging Large Language Model as Simulated Patients for Clinical Education

arXiv:2404.13066v1 Announce Type: new
Abstract: Simulated Patients (SPs) play a crucial role in clinical medical education by providing realistic scenarios for student practice. However, the high cost of training and hiring qualified SPs, along with the heavy workload and potential risks they face in consistently portraying actual patients, limit students' access to this type of clinical training. Consequently, the integration of computer program-based simulated patients has emerged as a valuable educational tool in recent years. With the rapid development of …

abstract arxiv clinical cost cs.ai cs.cl education face hiring however language language model large language large language model medical patients practice risks role students training type