Abstract
Framing the public health burden of firearm violence should include people with secondary exposure to firearm violence beyond acute bodily injury, yet such data are limited. Electronic health record clinical notes, when leveraged through natural language processing (NLP), are a potential source of data on firearm exposure. As part of NLP lexicon development, diverse stakeholders were engaged to identify keywords, and our findings demonstrated that engaging diverse stakeholders adds valuable input to NLP development.