对统计预测在医院急诊科应用的详尽综述与分析。
An exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments.
作者信息
Gul Muhammet, Celik Erkan
机构信息
Department of Industrial Engineering, Munzur University, Tunceli, Turkey.
出版信息
Health Syst (Basingstoke). 2018 Nov 19;9(4):263-284. doi: 10.1080/20476965.2018.1547348.
Abstract
Emergency departments (EDs) provide medical treatment for a broad spectrum of illnesses and injuries to patients who arrive at all hours of the day. The quality and efficient delivery of health care in EDs are associated with a number of factors, such as patient overall length of stay (LOS) and admission, prompt ambulance diversion, quick and accurate triage, nurse and physician assessment, diagnostic and laboratory services, consultations and treatment. One of the most important ways to plan the healthcare delivery efficiently is to make forecasts of ED processes. The aim this study is thus to provide an exhaustive review for ED stakeholders interested in applying forecasting methods to their ED processes. A categorisation, analysis and interpretation of 102 papers is performed for review. This exhaustive review provides an insight for researchers and practitioners about forecasting in EDs in terms of showing current state and potential areas for future attempts.
摘要
急诊科为全天随时前来就诊的患者提供各种疾病和损伤的医疗救治。急诊科医疗服务的质量和效率与诸多因素相关，如患者的总住院时长和入院情况、及时的救护车分流、快速准确的分诊、护士和医生的评估、诊断和实验室服务、会诊及治疗。有效规划医疗服务的最重要方法之一是对急诊科流程进行预测。因此，本研究的目的是为有兴趣将预测方法应用于其急诊科流程的利益相关者提供详尽的综述。为进行综述，对102篇论文进行了分类、分析和解读。这一详尽的综述为研究人员和从业者提供了关于急诊科预测的见解，展示了当前状况以及未来尝试的潜在领域。
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