Martina Profeta, G. Cesarelli, Cristiana Giglio, Giovanni Rossi, A. Borrelli, Francesco Amato, Maria Romano
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引用次数: 0
摘要
急诊医学是一门在医学实践中迅速发展和普及的新兴学科。急救医学的中心主题是复苏,实验室和诊断成像。在急诊科,不同的参数可与延长住院时间(LOS)相关联,例如;计算机断层扫描(TAC)、放射学技术的正常使用、外部咨询顾问的需求(1)。为了提高急诊科的效率和患者健康状态评估的有效性,确定影响LOS的因素是很重要的(2)。本工作是基于对急诊医学中人口因素、临床信息和诊断技术对LOS的影响进行评估。该数据集是在萨勒诺的“San Giovanni di Dio e Ruggi d'Aragona”医院急诊医学部进行的。以诊断后住院时间(dLOS)为因变量,优化多元线性回归模型。
Impact of diagnostic techniques on the length of stay in emergency medicine
Emergency medicine is a new discipline that is rapidly developing and spreading in medical practice. The central themes of emergency medicine are resuscitation, laboratory and diagnostic imaging. In the emergency department, different parameters can be associated with a prolonged Length of Stay (LOS) as, for example; the protact use of computed tomography (TAC), radiology techniques, the need for advice from external consultants (1). To improve the efficiency of the emergency department and the assessment effectiveness of the state of healthy patient, it is important to identify the factors that affect the LOS (2).This work was based on the evaluation of the impact of demographic factors, clinical information and diagnostic techniques on the LOS in emergency medicine (LOS-ED). The dataset was carried out at the Emergency Medicine Unit of the hospital “San Giovanni di Dio e Ruggi d'Aragona” of Salerno. Multiple Linear Regression model was optimized considering the hospital stay after diagnostic procedures (dLOS) as dependent variable.