基于数据中心的住院患者等候时间分析与利用

Analysisof waiting time before hospitalization based on clinical data repository

目的:基于数据中心探索住院患者等候时间及其影响因素,为进一步提高医院服务质量提供参考。方法:从全量数据中心抽取某病房开具住院通知单及住院患者的资料,采用非参数检验和多元线性回归进行数据分析。结果:患者等候入院时间平均数为18.98天,中位数8.89天。入院目的为手术的患者较其他患者等候时间更长。相较于副高医生和带组医生,主治医生的患者等候入院时间更短。住院患者等候时间的影响因素包括患者来源、住院次数、门诊诊断个数、住院类别、入院途径、医生类别。结论:为缩短住院患者等候时间,可建立信息系统实行预住院管理,实现就医全流程追踪和医院资源合理化配置;利用大数据分析构建等待入院时间预测模型,辅助住院管理工作。

Objective: To explore influencing factors of waiting time before hospitalization based on clinical data repository to improve service quality. Methods: Data was collected from clinical data repository, which contained patients who agreed hospitalization. Nonparametric test, multiple linear regression were used to analysis waiting time before hospitalization and its influencing factors. Results: Average of waiting time before hospitalization was 18.98 days, and median of it was 8.89 days. Patients whose purpose of hospitalization was surgery waited longer than other patients. Attending doctors’ patients had shorter waiting time compared with deputy senior doctors’ and team-leader doctors’ patients. Influencing factors of waiting time before hospitalization were source of patient, hospitalization times, number of diagnosis, type of hospitalization, type of hospitalizing, type of doctor. Conclusion: Based on information system, it could help doctors to follow the whole process of hospitalization and optimizing resource allocation if pre-registration hospitalization model was put into effect, which could decrease waiting time before hospitalization. Also, big data analysis of forecasting waiting time before hospitalization could help assisting hospital management.