We present a longitudinal electronic health record (EHR) dataset from Wuhan Union Hospital, compiled from two distinct hospital information systems. The first dataset, derived from a legacy system, includes 35,243 patients and covers the period from 2010 to 2020. The second dataset, collected via the research-oriented YIDUYUN system, includes 37,975 patients and spans from 2011 to 2024. Both datasets provide structured and de-identified clinical information, including medical record number, demographics, diagnoses, admissions, discharges, timestamps record, laboratory test results (including COVID-19 test records) and patients’ residential region. Using the patients’ residential regions, we combined the data with information from the China Statistical Yearbook to collect regional socioeconomic indices. While not specifically designed for pandemic research, the dataset captures both pre-pandemic and post-pandemic periods with de-identified exact timestamps, making it suitable for analyzing long-term healthcare utilization, population behavior, and policy impacts. With comprehensive metadata and rigorous validation, this resource supports a wide range of applications in longitudinal health system research and data-driven modeling.
Zha et al. (Sat,) studied this question.