R Development Health Research Institute
Survival Analysis Pipeline with ggsurvplot
Visualising time-to-event data for publication-quality reports.
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Visualising time-to-event data for publication-quality reports.
Large-scale address matching required expensive commercial software licenses and significant processing time.
Monthly population screening coverage reports required manual SQL extraction, R analysis, and Power BI visualisation — all done on-premise by a single analyst. The process was time-consuming, error-prone, and created single-point-of-failure risk.