Ghana's healthcare system faces challenges in managing district hospitals' operations efficiently. Time-series forecasting models were applied to historical data from Ghanaian district hospitals. The Box-Jenkins ARIMA model was used, with uncertainty quantified through robust standard errors. The forecast accuracy suggests a potential need for resource reallocation in certain wards within the system (e. g. , a 15% variance between actual and predicted patient admissions). Time-series forecasting models can be effective tools for assessing district hospital system reliability, with specific insights into ward-level performance. Investigate targeted interventions where forecasted discrepancies are significant to improve system efficiency. forecasting, time series, ARIMA, healthcare systems, Ghana Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Agyeiwa et al. (Fri,) studied this question.