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基于ARIMA和GM(1,1)模型的互联网肿瘤专科门诊接诊现状预测研究 被引量:1

Predictive analysis of internet-based oncology outpatient visits trend based on ARIMA and GM(1,1) models
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摘要 目的充分了解互联网肿瘤门诊接诊现状的变化趋势,为互联网医院的发展及管理提供支持。方法利用某肿瘤专科医院2021年1月—2023年6月互联网门诊接诊数据,分别构建ARIMA和GM(1,1)模型,采用平均绝对误差(MAE)和均方根误差(RMSE)评价拟合效果,基于优势模型预测2023年7—12月互联网门诊接诊比例及互联网门诊人次占线下门诊比例。结果通过ARIMA(1,1,2)和GM(1,1)模型对互联网门诊接诊比例进行预测,平均绝对误差分别为2.06%和2.41%,均方根误差分别为3.01%和3.17%;通过ARIMA(0,1,1)和GM(1,1)模型对互联网门诊人次占线下门诊比例进行预测,平均绝对误差分别为0.58%和1.08%,均方根误差分别为0.75%和1.31%,表明ARIMA模型的预测效果更好。预测结果显示,2023年12月互联网门诊接诊比例预测值为90.35%,互联网门诊人次占线下门诊比例预测值为16.46%。结论2021—2023年某肿瘤专科医院互联网接诊比例呈现持续稳定趋势,互联网门诊人次占线下门诊比例呈现持续上升的趋势。因此,医院需建立持续的监测机制,不断调整管理策略和措施,以满足患者的需求,持续推动互联网医疗服务高质量发展。 Objective To investigate the changing trend of the current situation of Internet-based oncology outpatient treatment and provide support for the development and management of Internet hospitals.Methods The ARIMA and GM(1,1)models were constructed based on the Internet-based outpatient data of a cancer hospital from January 2021 to June 2023,and the fitting effect was evaluated by mean absolute error(MAE)and root mean square error(RMSE).Based on the model,the proportion of Internet-based outpatient visits and the offline outpatient visits were predicted from July to December 2023.Results ARIMA(1,1,2)and GM(1,1)models were used to predict the proportion of Internet-based outpatient visits.The average absolute errors were 2.06%and 2.41%,and the root-mean-square errors were 3.01%and 3.17%,respectively.The ARIMA(0,1,1)and GM(1,1)models were used to predict the proportion of Internet-based outpatient visits to the offline outpatient visits,with the rate of the average absolute errors of 0.58%and 1.08%,respectively,and the rate of the root mean square errors 0.75%and 1.31%,respectively.The figures indicated that the ARIMA model had a better prediction effect.The forecast results showed that the predicted value of Internet outpatient service in December 2023 was 90.35%,and the predicted value of Internet-based outpatient service accounted for 16.46%of the offline outpatient service.Conclusion In 2021—2023,the proportion of Internet-based outpatient visits in the cancer hospital showed a steady trend,and the proportion of Internet outpatient visits in the offline outpatient visits showed a rising trend.Therefore,hospitals need to establish a continuous monitoring mechanism,constantly adjust management strategies and measures to meet the needs of patients and continue to promote the high-quality development of Internet-based medical services.
作者 徐彦杰 辛亮 刘俊卿 李岩 李世云 王若臻 董恒磊 XU Yanjie;XIN Liang;LIU Junqing;LI Yan;LI Shiyun;WANG Ruozhen;DONG Henglei(Tianjin Medical University Cancer Institute&Hospital,National Clinical Research Center for Cancer,Tianjin Key Laboratory of Cancer Prevention and Therapy,Tianjin’s Clinical Research Center for Cancer,Tianjin 300060,China)
出处 《现代医院》 2024年第2期275-279,共5页 Modern Hospitals
基金 国家卫生健康委医院管理研究所《公立医院精细化管理与评价研究项目》(NIHA23JXH012)。
关键词 ARIMA GM(1 1) 互联网 接诊现状 预测研究 ARIMA GM(1,1) Internet Current situation of medical treatment Predictive study
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