AIM-AHEAD Year 4 Research Fellowship - Project 2185 Dataset

Project Title: Developing Transformer Models for Smarter Prescribing in Diabetes Care Project Awardee: Polina Kukhareva 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 ambulatory or telehealth encounters between 2017 and 2024 who have a diagnosis of diabetes and/or at least one recorded HbA1c measurement, enabling longitudinal modeling of treatment pathways and prescribing patterns. 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 across cardiometabolic and related comorbidity domains, laboratory results (glycemic, renal, lipid, and metabolic panels), medication exposures, procedures related to diabetes management and preventive care, immunization records, mortality indicators, and structured patient screening data capturing behavioral and contextual health information. 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.