AIM-AHEAD Year 4 Research Fellowship - Project 2173 Dataset

Project Title: Toward Precision Behavioral Health: AI‑Driven Depression Subtyping and Risk Modeling Using EHRs Project Awardee: Destiny Gilliland This dataset is derived from the OCHIN Community Health Database – AIM‑AHEAD Year 4 and implemented as a set of views. It includes adults aged 18 and older with documented depression diagnoses and at least one recorded PHQ‑9 assessment between 2012 and 2024, supporting longitudinal analysis of depression symptom patterns and clinical risk profiles. The dataset includes patient demographics (sex, age, race, ethnicity, language, payer, federal poverty level, homelessness status, and marital status), visit‑level data, provider and care site characteristics, vital signs, condition diagnoses across mental, behavioral, and selected physical health domains, laboratory results, medication exposures, and structured patient screening data capturing behavioral and contextual factors relevant to depression outcomes. If you are interested in learning more about this dataset and understanding access requirements, we recommend you reach out to the named Project Awardee and/or OCHIN at AI‑DataConsult[at]ochin.org.