Importance of Calibration in Prediction Models for Patient Outcomes

This chapter delves into the crucial aspect of calibration in prediction models for patient outcomes, emphasizing the need for models to accurately predict actual outcomes versus predicted outcomes. It highlights the challenges and significance of calibrating models to specific populations and the importance of communicating uncertainty to patients and families when using these models in medical practice. The chapter also underlines the necessity for ongoing research to incorporate more comprehensive variables and patient-centered outcomes in prospective trials to enhance prognostication in critical care settings.