AIM-AHEAD Year 4 Research Fellowship - Project 2183 Dataset

Project Title: A Two‑Stage Artificial Intelligence System to Predict Suicidal Ideation and Pathways to Treatment Engagement Among Young Adults Project Awardee: Haoyoung Donnelly This dataset is derived from the OCHIN Community Health Database – AIM‑AHEAD Year 4 and implemented as a set of views. It includes patients aged 18 to 44 with at least one ambulatory or telehealth visit between 2012 and 2024, supporting longitudinal modeling of suicide risk indicators and follow‑up treatment engagement among young adults. The dataset includes patient demographics (sex, age, race, ethnicity, language, payer, federal poverty level, ZIP/ZCTA, homelessness status, and marital status), visit‑level data, provider and care site characteristics, vital signs, condition diagnoses related to mental and behavioral health, medication exposures for central nervous system agents, procedures related to behavioral health care, mortality indicators, and patient screening data capturing substance use and other behavioral health factors. 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.