AIM-AHEAD Year 4 Research Fellowship - Project 2234 Dataset

Project Title: Digital Twins Enabled Framework for Modeling Health Systems and Delivery of Care Project Awardee: Alan Pan 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 at least one ambulatory or telehealth visit between 2012 and 2024, focusing on patients with a diagnosis of heart failure or diabetes, as well as a comparison population without these conditions to support longitudinal modeling of care trajectories and outcomes. The dataset includes patient demographics (sex, age, race, ethnicity, language, payer, federal poverty level, and ZIP/ZCTA), visit‑level data, provider and care site characteristics, vital signs (blood pressure, BMI, height, weight, tobacco use), condition diagnoses related to cardiometabolic and cerebrovascular disease, mortality indicators, and longitudinal encounter data needed to characterize care pathways, utilization patterns, and clinical 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.项目名称：赋能卫生系统建模与医疗服务交付的数字孪生（Digital Twins）框架 项目负责人：艾伦·潘 本数据集源自OCHIN社区健康数据库——AIM-AHEAD项目第四年数据，以视图集形式实现。本数据集纳入2012年至2024年间至少完成1次门诊或远程医疗就诊的18岁及以上成年人，重点覆盖心力衰竭或糖尿病确诊患者，并设置无上述两类疾病的对照人群，以支撑医疗轨迹与临床结局的纵向建模研究。 数据集涵盖患者人口统计学特征（性别、年龄、种族、族裔、语言、支付方、联邦贫困线水平、邮政编码/ZCTA区域）、就诊层面数据、医护人员与医疗场所特征、生命体征（血压、体重指数（BMI）、身高、体重、烟草使用情况）、心代谢与脑血管疾病相关病症诊断、死亡指标，以及用于刻画医疗路径、服务利用模式与临床结局的纵向就诊数据。 若您希望进一步了解本数据集及获取访问权限相关要求，建议联系指定项目负责人艾伦·潘或OCHIN，联系邮箱为[e-mail]。