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A Governance-Driven, Real-World Data-Calibrated Health Informatics Framework for Longitudinal Utilization Forecasting in Oncology and Complex Chronic Conditions
2026-02-26
health informatics
Title + abstract only
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BackgroundHealthcare utilization forecasting systems are often derived from static, annualized market share assumptions that fail to represent real-world treatment dynamics. Such approaches systematically misestimate future utilization by ignoring longitudinal treatment sequencing, discontinuation with surveillance, recurrence-driven re-entry, and provider adoption dynamics. ObjectiveThis study proposes a reusable, governance-driven health informatics forecasting framework designed to generate ...
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