OBJECTIVES/GOALS: The management of head and neck cancers is complicated and allows for a variety of disparate approaches from providers. However, data from several hundred or thousands of patients is necessary to decipher the optimal decisions for populations of patients. And prospective trials would take years to accrue and often are financially not possible. METHODS/STUDY POPULATION: Instead, we collated the entire electronic medical record for all patients at our institution treated for head and neck cancers. We employed a variety of clinical informatics and natural language processing to gather text data into large data frames. We found key conclusions in the diagnostic, treatment, and surveillance of our patients. RESULTS/ANTICIPATED RESULTS: First, obtaining post-operative PET/CT changes in management in over one-third of patients, highlighting the utility of optimizing diagnostic imaging. Second, using a newer silicone-based cream instead of just a moisturizer decreased the absolute risk of grade 2+ radiation dermatitis by almost 15%. Lastly, we are deploying novel autosegmentation frameworks to better understand tissue decomposition in the head and neck to identify patients in need of further nutritional support while undergoing radiation therapy. DISCUSSION/SIGNIFICANCE: Collectively, we showcase the value and opportunity of mining oncological data for the improvement of patient care.