This study presented the use of Autoregressive Integrated Moving Average (ARIMA) technique to modeling the diabetes patients' attendance at
Bagamoyo district hospital using monthly time series data. The data used in the analysis of this study are monthly reading of diabetes patients data
covered the period from January 2014 to December 2021. The data were retrieved from the hospital electronic health management information
system. The Autoregressive Integrated Moving Average (ARIMA) approach was applied to the diabetes patients' data through the model
identication, estimation, diagnostic checking, stationary and forecasting in R statistical software. The study identied Autoregressive Integrated
Moving Average ARIMA (0, 1, 1) model to be the best one to t for the monthly total number of diabetes patients' attendance hospital outpatient
department for seven years of monthly data. This was veried by Akaike's Information Criterion (AIC) and Bayesian Information Criterion (BIC)
of the model selection criteria, Autoregressive Integrated Moving Average ARIMA (0, 1, 1) model shown the smallest values, hence this was
selected as an adequate model to represent the Bagamoyo district hospital diabetes patients data. The forecast values indicate clearly that diabetes
patients' attendance at Bagamoyo district hospital would be on an increase rate per month during the year 2022. Therefore, the government needs to
put in place more and to engage necessary requirements for a satisfying healthcare system by increasing the medical supplies to the Bagamoyo
district hospital.