319 Background: Sepsis is a life-threatening organ dysfunction caused by a dysregulated response to infection and a major healthcare problem in cancer patients. Patients with cancer are at increased risk of morbidity and mortality from sepsis. Approaches like the modified Early Warning Score (mEWS) could offer an opportunity to identify patients at risk for sepsis earlier and to prompt a timely evaluation. However, available evidence for cancer outpatient settings remains scarce. The aim of this presentation is to describe first results of the mEWS implementation at Huntsman Cancer Hospital (HCC) outpatient clinics. The question, whether patients with sepsis can be detected using this approach will be answered. Methods: In 2015, the University of Utah Healthcare implemented mEWS as prediction tool for sepsis. The automated calculation of mEWS is based on real-time data from the EMR. For this analysis, we extracted a cancer outpatient population from a 15-month time frame (from December 2016 to February 2018) within the EHR. We selected patients with a mEWS > 4, grouped these patients according to the process of care after mEWS scoring (e.g., admitted to ICU) and analyzed subgroup based upon mEWS score, discharge disposition and sepsis diagnosis. Results: Within the analyzed time frame 502 cancer outpatients had a mEWS score of 4 or higher. 88 of these patients (17.5%) were diagnosed with sepsis after mEWS screening. Out of the patients with sepsis, 22 were admitted to ICU, 63 were admitted to a medical floor and 3 were treated at the Huntsman Acute Care Clinic. Out of the 414 without a diagnosis of sepsis, 13 patients were admitted to ICU, 72 patients were admitted to a medical floor (in each case for other reasons then sepsis) and 329 patients were sent to home. Conclusions: Sepsis is a serious problem in cancer outpatient care. In our analysis, one in six patients with a mEWS score of 4 and higher were diagnosed with sepsis. This analysis has shown that the implementation of a real-time, EMR based scoring system like mEWS can support the early detection and treatment of sepsis in this population.