Healthcare Data Analytics and NPHIES Dashboards (Hospitals)

(Hospitals) The national NPHIES platform has centralized an unprecedented volume of clinical, demographic, and financial data. Compliant data generation is merely the minimum threshold; deriving predictive clinical and financial intelligence from this national data lake is the true differentiator for clusters competing in a value-based ecosystem. This course trains data analysts, strategic planners, and performance managers to mine, synthesize, and interpret large healthcare datasets with rigor. Participants learn to leverage AI-powered algorithms and NPHIES reporting dashboards to predict admission trends, optimize the Case Mix Index, identify anomalous or fraudulent billing patterns before submission, and map epidemiological shifts across the cluster's geographic footprint. The curriculum balances technical skill, covering data modeling, visualization, and predictive analytics, with the strategic translation of insight into executive decisions. Through hands-on labs grounded in realistic NPHIES data structures, participants build dashboards, design forecasting models, and construct fraud-detection logic. A recurring theme is transforming raw digital output into actionable strategic foresight, which is essential to realize the economic value of the Kingdom's investment in digital health infrastructure. By the end, analysts can deliver decision-ready intelligence that strengthens cluster performance and financial integrity.