Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes.We developed a lexicon of housing-related concepts and rule-based Course a pied - Accessoires - Nutrition - Capsules natural language processing methods for identifying these housing-related concepts within clinical text.We piloted our methods on several test cohorts: a synthetic cohort generated by ChatGPT for initial infrastructure testing, a cohort with substance use disorders (SUD), and a cohort diagnosed with problems related to housing and economic circumstances (HEC).Our methods successfully identified housing concepts in our ChatGPT notes (recall = 1.
0, precision = 1.0), our SUD population (recall = 0.9798, precision = 0.9898), and our HEC population Track Jacket (recall = N/A, precision = 0.
9160).