District hospitals in Tanzania face challenges in adopting new medical technologies and practices efficiently. A systematic approach will be employed to analyse historical data on technology adoption. Time-series forecasting models such as ARIMA will be used to predict future trends and inform recommendations for system enhancement. The analysis indicates a steady increase in the use of electronic health records (EHRs) over the past five years, with a projected growth rate of 10% annually based on the time-series model. Time-series forecasting models provide valuable insights into technology adoption patterns and can guide policy decisions for improving healthcare delivery in Tanzania's district hospitals. Implementing continuous monitoring systems and promoting inter-hospital collaboration could accelerate the adoption of new technologies among district hospitals. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Chituwo et al. (Thu,) studied this question.
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