Objective: To analyze and predict the flow direction of hospital emergency patients and provide guidance for the treatment of patients, and to achieve the deployment of medical resources by means of information technology. Methods: Based on the Hadoop parallel computing platform, construct the data warehouse of the patients, and use big data mining analysis technology to analyze the behavior of the patients and the direction of the flow. Results: Combined with hospital emergency information construction, the introduction of Hospital Internet applications, emergency flow analysis and prediction model can provide the emergency population to provide advice, and provide data for emergency management. Conclusion: The big data era of hospital emergency management needs to be fine management, patient flow analysis and prediction model can help the hospital to allocate medical resources, improve the emergency medical environment.%目的：利用病人就诊行为数据，分析预测医院急诊病人流向，为病人就诊提供导引，通过信息技术手段实现医疗资源调配。方法：基于Hadoop并行计算平台，构建患者就诊诊疗数据仓库，利用大数据挖掘分析技术，对患者就诊行为属性与就诊流向进行多维度关联分析，建立急诊流向分析与预测模型。结果：结合医院急诊信息化建设，引入医院互联网应用，急诊流向分析与预测模型能为患者提供急诊人群提供建议，并为急诊管理提供数据依据。结论：大数据时代医院急诊管理需要进行精细化管理，病人流向分析与预测模型能帮助医院调配医疗资源，改善急诊医疗环境。
展开▼
