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<h3>Background and Importance</h3> Discharge medication services at a tertiary hospital faced significant challenges from manual prescription processing during limited hours (11:30–13:00), resulting in patient waiting times of 45–90 minutes and pharmacy overcrowding. The medication error rate reached 6.62 pre-dispensing errors (PDE) per 1,000 patient-days, raising critical patient safety concerns. These challenges necessitated urgent system redesign using technology-driven interventions and value stream mapping methodology to streamline workflow and enhance medication safety. <h3>Aim and Objectives</h3> To evaluate and compare waiting times and medication error rates before and after implementing a technology-enhanced discharge medication system. <h3>Material and Methods</h3> A retrospective descriptive study was conducted December 1–26, 2025, involving 360 discharged inpatients. The intervention included prescription scanning, semi-automated dispensing cabinets, smart shelving, and QR code-based medication collection. Primary outcomes were waiting time at pharmacy counter, medication processing time, and total time from physician order to medication collection. Secondary outcomes were prescribing errors (PE) and pre-dispensing errors (PDE) per 1,000 patient-days. Data from hospital information systems were analysed using paired t-tests and chi-square tests (p < 0.05). <h3>Results</h3> Post-intervention mean waiting time was 6.71 minutes, processing time 37.66 minutes, and total time 157.54 minutes. Medication error rates were 2.45 PE and 0.88 PDE per 1,000 patient-days. No significant association existed between number of medications and processing time (p = 0.126). Workflow redesign reduced waiting time from 45–90 minutes to 6.71 minutes (p < 0.001). PE increased by 0.57 due to improved error detection, while PDE decreased from 6.62 to 0.88 per 1,000 patient-days (p < 0.001), indicating enhanced safety. Further improvements eliminated three non-value-added steps. Computerised Physician Order Entry (CPOE) integration and bedside counselling reduced total processing time from 157.54 to 66.03 minutes. <h3>Conclusion and Relevance</h3> Technology-driven redesign with value stream mapping achieved 86% reduction in waiting time and 87% reduction in PDE, demonstrating significant clinical impact. The PE increase reflected improved error detection rather than quality deterioration. This study provides a replicable model for hospitals facing similar challenges, showing that systematic workflow analysis combined with appropriate technology dramatically improves efficiency and safety while enhancing patient-centred care and satisfaction. <h3>Conflict of Interest</h3> No conflict of interest