151 Background: Cancer Staging is critical for prognosticating, treatment planning, outcomes analysis, registry reporting and clinical trial eligibility determination. Oncology EHRs have structured staging modules but use by physicians is inconsistent. Typically, stage is entered as unstructured free text in clinical notes and cannot be used for reporting. Instead, institutions depend the tumor registry (TR) which typically lag 6 months behind. Our Cancer Committee determined that real-time capture of structured cancer staging was an imperative. Methods: We created an EPIC best practice advisory (BPA) decision support tool that requires physicians to enter cancer stage if the following criteria are met: 1)unstaged cancer on the problem list 2)EPIC staging module exists for that cancer 3)physician is from a specialty with staging expertise. This BPA was implemented 12/18/14. If physicians chose not to stage they had to enter a reason why. Choices were: 1) cancer diagnosed before 2014, at which the BPA was permanently removed 2) staging studies not yet completed, at which the BPA fired at a future encounter 3) Not a staging provider, at which the BPA no longer fires for that individual provider 4) Cannot stage: document reason, at which the BPA was permanently removed. Results: We used TR data to determine the number of patients who were eligible for staging. In 12 months prior to the intervention, 1480/5222, or 28% of patients who were eligible for staging were staged in the structured staging module. After we launched the intervention, between 12/18/14 and 4/30/15, 1654/1831 or 90% of eligible patients were staged electronically. This is an absolute improvement of > 200% Conclusions: Electronic decision support can dramatically improve rates of structured staging. Such data allows automated reports for clinical trial screening, outcomes analysis, quality comparisons, and reporting. We are now building automated reports for: clinical trial eligibility, Commission on Cancer/ QOPI breast, colon and lung measures, rates of palliative care consultation for advanced disease and outcome measures like disease free interval by stage and overall survival.