Practical guidance to select, validate, calibrate, and operationalize predictive models that identify high‑risk patients for targeted outreach and care pathways.
Interactive checklist to guide technical validation, clinical plausibility checks, pilot deployment, monitoring setup, governance, and safe operationalization of predictive models in clinical settings.
An actionable, clinician- and analytics-friendly checklist to validate, gate, deploy, monitor, and govern predictive models used to identify high-risk patients. Includes concrete checks for data, performance, fairness, calibration, governance, deployment gates, pilot guidance, an example validation report structure, and sample monitoring KPIs.
A pragmatic checklist for validating predictive models and safely integrating them into clinical workflows.