A predictive model to identify hospitalized cancer patients at risk for 30‐day mortality based on admission criteria via the electronic medical record

Abstract

Clinical factors available via the electronic medical record within 24 hours of hospital admission can be used to identify cancer patients at risk for 30-day mortality. These patients would benefit from discussion of preferences for care at the end of life.