DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research

Abstract

The DECOVID database contains harmonized pseudonymized electronic health record (EHR) data on all adult (≥18 years old) patients presenting to two large, digitally mature centers in the United Kingdom between 1 January 2020 and 28 February 2021, with follow-up until at least 28 March 2021. The database was originally developed to support the COVID-19 response but is now available via the PIONEER data hub for researchers to explore a wide range of research questions, including exploratory analyses, risk factor assessment, prediction modeling, and comparative effectiveness studies. Raw data were extracted from local EHRs and transformed into a standardized form (Observational Health Data Sciences and Informatics-Common Data Model version 5.3.1). The database includes 165,420 patients across 256,804 hospital presentations. For these patients, highly granular data are available, including patient demographics, longitudinal vital signs, physiology, treatments, laboratory findings, clinical diagnoses, and outcomes. There are 10,030 patients with COVID-19, of whom 1472 died in hospital.

Metadata

Item Type:	Article
Authors/Creators:	Aslett, L.J.M. Avramescu, A. Bakewell, N. Birds, I. Bowler, L. Camilleri, M.P.J. Chung, S.-C. Clifton, D.A. Cohen, S.N. Constantine-Cooke, N. Daub, E.G. Davidson, S. Denaxas, S. Diaz-Ordaz, K. Feltbower, R. https://orcid.org/0000-0002-1728-9408 Gallier, S. Gardiner, S. Gasperoni, F. Goudie, R.J.B. Green, R.E. Hall, M. https://orcid.org/0000-0003-1246-2627 Holmes, C. Hurst, J.R. Iles, M.M. https://orcid.org/0000-0002-2603-6509 Jorge, J. Karoune, E. Keogh, R. King, R. King, R. Kirk, P.D.W. Klapaukh, R. Kouchaki, S. Lai, A.G. Lea, N. Leyrat, C. Li, K. Lilaonitkul, W. Lu, H.Y. Lyons, T. Mallon, A.M. Manderson, A. Margaritella, N. Matteson, J. Morley, S. Nicholls, H. O’Reilly, M. Pagel, C. Palmer, E. Roberts, J. Roberts, T.J. Robertson, D.S. Robinson, J. Rockenschaub, P. Ruddle, R. https://orcid.org/0000-0001-8662-8103 Sapey, E. Santos, L. Soltan, A.A.S. Gao Smith, F. Starr, C. Strickson, O. Su, L. Tackney, M.S. Thygesen, J.H. Torralbo, A. Turner, A. Vallejos, C.A. Wang, C. Whitaker, K. Whitehouse, T. Westhead, D.R. Wong, W.K. Wu, Y. Yang, L. Zou, X.
Copyright, Publisher and Additional Information:	© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords:	hospital data; electronic health record; COVID-19
Dates:	Accepted: 4 November 2025 Published (online): 24 November 2025 Published: December 2025
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:	Funder Grant number Alan Turing Institute Not Known
Date Deposited:	18 Dec 2025 16:29
Last Modified:	18 Dec 2025 16:29
Status:	Published
Publisher:	MDPI
Identification Number:	10.3390/data10120195
Sustainable Development Goals:
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:235664

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DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research

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