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Project Title: Better AI for a Strong Rural Maternal and Child Health Environment (BARE) Lab Project Awardee: Jill Inderstrodt 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 pregnancy‑related care and deliveries occurring between 2017 and 2020, supporting development and evaluation of a prediction model for preeclampsia using routinely captured clinical data. The dataset includes patient demographics (sex, age, race, ethnicity, language, payer, federal poverty level, and ZIP/ZCTA), visit‑level data across office, hospital, and telehealth encounters, vital signs (including blood pressure and weight/BMI), condition diagnoses used for pregnancy and outcome identification, laboratory results specified as model features, and selected patient screening variables noted as potential predictors. For additional information about this dataset and access requirements, please contact the Project Awardee and/or OCHIN at AI‑DataConsult[at]ochin.org.