298 Background: In 2009, the Institute for Healthcare Improvement (IHI) conceived the Global Trigger Tool (GTT), a method for identifying adverse events that relies on correlated clinical documentation, “triggers”, in the medical record. This method is intended to augment traditional quality of care, data collection initiatives that primarily depend on voluntary reporting or error tracking. However, the original trigger tool called for a manual identification of trigger events and is too broad to be useful in an oncology setting. We propose a method for the development, selection, electronic extraction and management of triggers relevant to an oncology setting, with the primary aim of improving our understanding of the prevalence of adverse events occurring during an inpatient stay. Methods: Our implementation of an Electronic Trigger Tool includes three parts: trigger selection, review system development, and the chart review process. Through literature review, we developed a library of 40 oncology-relevant trigger tools. We then selected two pilot triggers based on expert opinion and a trigger analysis on length of stay, cost, and patient satisfaction. Next, we developed a web-app that allows reviewers to automatically receive trigger events. Finally, two clinical professionals reviewed five trigger events from each trigger for five subsequent weeks. Results: We selected Narcan administration (M9) and unexpected/unplanned ICU admission after non-emergent surgical procedure (S3) as pilot triggers. Our reviewers each performed a chart review on 25 for each trigger, resulting in 100 independent reviews. We found that M9 had a positive predictive value (PPV) of .52 (26 AEs / 50 reviews) and S3 had a positive predictive value of .88 (44 AEs / 50 reviews). We also found that most of these adverse events were not found by other quality systems. Conclusions: Our pilot of two triggers demonstrated we can capture adverse events that exist outside known quality and safety resources on a small scale and with high PPV. We anticipate using novel trigger information to inform process improvement and quality of care for patients with cancer at our hospital.