CardioEHR: A longitudinal electronic health record dataset of cardiovascular patients from central China

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.

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Publication Details

Journal
Scientific Data
Published
2026-02-14
DOI
https://doi.org/10.1038/s41597-026-06855-7
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

CardioEHR: A longitudinal electronic health record dataset of cardiovascular patients from central China

Chengbo Fu, Yike Li, Xue Sha, Lingfeng Zha et al.
Scientific Data
Machine Learning in Healthcare
article

CardioEHR: A longitudinal electronic health record dataset of cardiovascular patients from central China

Chengbo Fu, Yike Li, Xue Sha, Lingfeng Zha, Peijun Yin
article en

Abstract

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.

Scientific DataVol. 13(1)
Union Hospital (HK), Wuhan Union Hospital (CN), Shandong First Medical University (CN), Union Hospital (CN), Huazhong University of Science and Technology (CN), Hubei University (CN), Aalto University (FI)
Good health and well-being
Openalex Percentile: Top 57%
Machine Learning in Healthcare
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