Cook Nicole, Biel Frances M, Bet Kerry Ann, Sills Marion R, Al Bataineh Ali, Rivera Pedro, Templeton Anna R, Cartwright Natalie
OCHIN, PO Box 5426, Portland, OR, 97228, United States, 1 9546126511.
Norwich University, Northfield, VT, United States.
JMIR Form Res. 2025 Apr 21;9:e68105. doi: 10.2196/68105.
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.
衡量枪支暴力对公众健康的负担，应将除急性身体伤害外二次接触枪支暴力的人群纳入考量，但此类数据有限。通过自然语言处理（NLP）利用电子健康记录临床笔记，是获取枪支接触数据的一个潜在来源。作为NLP词汇表开发的一部分，我们邀请了不同的利益相关者来识别关键词，我们的研究结果表明，让不同的利益相关者参与能为NLP开发提供有价值的投入。
