Abstract：Objective To establish a differential autoregressive integrated moving average ( ARIMA ) model to predict the average length of stay in a tertiary hospital in Jiangsu Province and provide scientific reference for the allocation of medical resources.Methods Based on the average hospital stay data of a tertiary hospital in Jiangsu Province from January 2013 to June 2021, the ARIMA model was constructed by using R software to predict the average hospital stay in the hospital from July 2021 to May 2022, and to compare with the actual value to evaluate the prediction effect of the ARIMA model.Results The average length of stay of the hospital has been decreasing year by year since January 2013, and has certain seasonal characteristics. The best fitted ARIMA model is ARIMA ( 0, 1, 1 ) ( 0, 1, 1 ) 12 , with MAPE of 1.78% and RMSE of 0.24. In the prediction of ARIMA model, RMSE is 1.49, MAPE is 7.78%, and the prediction results are ideal.Conclusion ARIMA model has good prediction effect on the average length of stay in the hospital, and can be used for the shortterm prediction of the average length of stay in the hospital.
郭在金，周罗晶. 基于R语言的ARIMA模型在医院平均住院日预测中的应用[J]. 中国医院统计, 2022, 29(4): 279-282.
Guo Zaijin，Zhou Luojing. Prediction of ARIMA model based on R language on average length of stay. journal1, 2022, 29(4): 279-282.
［1］TSAN Y T, CHEN D Y, LIU P Y, et al. The prediction of influenza-like illness and respiratory disease using LSTM and ARIMA［J］. Int J Environ Res Public Health, 2022, 19(3):1858.
［2］黄秋瑞，王明明，乔世刚，等．基于R语言时间序列和ARIMA模型预测新建综合医院麻醉科耗材领用的研究［J］．中国医疗设备，2022，37(1)：125-127.
［3］玄春艳，亓爱杰，廉颖．时间序列模型在预测平均住院日的应用［J］．中国病案，2022，23(3)：56-61．
［4］RGUIBI M A, MOUSSA N, MADANI A, et al. Forecasting covid-19 transmission with ARIMA and LSTM techniques in Morocco［J］. SN Comput Sci, 2022, 3(2):133.
［5］王燕．时间序列分析：基于R［M］．北京：中国人民大学出版社，2015．
［6］林淑芳，周银发，张山鹰，等．2010—2019年福建省肺结核流行特征及发病预测模型应用［J］．中华疾病控制杂志，2021，25(7)：768-774．DOI:10.16462/j.cnki.zhjbkz.2021.07.006.
［7］王晨，郭倩，周罗晶．基于R语言的ARIMA模型对流感样病例发病趋势的预测［J］．中华疾病控制杂志，2018，22(9)：957-960．DOI:10.16462/j.cnki.zhjbkz.2018.09.020.
［8］初斯军，王龚奋飞．应用PDCA循环法管理平均住院日的成效分析［J］．现代医院，2021，21(4)：526-528．
