Malaria remains a significant public health issue in rural Ethiopia. Digital Health Records (DHRs) have been introduced to improve malaria treatment accuracy. A systematic review of existing literature including randomized controlled trials (RCTs) and observational studies conducted between and . Digital health records were found to improve diagnostic accuracy by an average of 20% in malaria cases, with a confidence interval suggesting this is within the range of 18-22%. DHRs significantly enhance treatment accuracy through real-time data sharing and automated reminders for follow-up care. Implementing DHRs should be prioritised to improve diagnostic precision in rural healthcare settings, with ongoing monitoring and support from health authorities. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.