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This presentation explores the journey from pharmacy data to informed decision-making. It emphasizes the importance of tracing analytics from logs to AI, distinguishing between data, insights, and actionable steps. The application of analytics across pharmacy practice is highlighted, focusing on data quality, safety metrics, and financial stewardship. Additionally, it addresses the transformation of signals into safe improvements by debating alarm cases, managing bias and privacy in AI, and...