Acute Care Events During Systemic Cancer Treatment: Moving From Risk Prediction to Clinical Decision Support Using a Two-Model Approach

We present a novel approach to ACE prediction among patients receiving cancer treatment using two models to anticipate patients' risk before treatment starts and then update based on clinical trajectory, facilitated by engagement of a CAP. To prevent ACE, risk-stratified interventions should focus on the factors we observed-optimizing comorbidities, proactively managing symptoms from high-toxicity regimens, or advanced disease.