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

doi:10.3390/data10120195

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

Computing

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	195
Journal	Data
Volume	10
Issue number	12
Early online date	24 Nov 2025
DOIs	https://doi.org/10.3390/data10120195
Publication status	Published - Dec 2025

Keywords

COVID-19
electronic health record
hospital data

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Information Systems and Management

Access to Document

10.3390/data10120195Licence: CC BY

Final published version
Copyright: © 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/)
Final published version, 2.52 MBLicence: CC BY

Cite this

@article{4db768860f404ecba1b379d3a4832297,

title = "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.",

keywords = "COVID-19, electronic health record, hospital data",

author = "Aslett, \{Louis J.M.\} and Andreea Avramescu and Nicholas Bakewell and Isabel Birds and Louise Bowler and Camilleri, \{Michael P.J.\} and Chung, \{Sheng Chia\} and Clifton, \{David A.\} and Cohen, \{Samuel N.\} and Nathan Constantine-Cooke and Daub, \{Eric G.\} and Shaun Davidson and Spiros Denaxas and Karla Diaz-Ordaz and Richard Feltbower and Suzy Gallier and Stephen Gardiner and Francesca Gasperoni and Goudie, \{Robert J.B.\} and Green, \{Rebecca E.\} and Marlous Hall and Chris Holmes and Hurst, \{John R.\} and Iles, \{Mark M.\} and Joao Jorge and Emma Karoune and Ruth Keogh and Ruairidh King and Ruth King and Kirk, \{Paul D.W.\} and Roman Klapaukh and Samaneh Kouchaki and Lai, \{Alvina G.\} and Nathan Lea and Clemence Leyrat and Kezhi Li and Watjana Lilaonitkul and Lu, \{Huiqi Y.\} and Terry Lyons and Mallon, \{Ann Marie\} and Andrew Manderson and Nicol{\`o} Margaritella and Joshua Matteson and Sam Morley and Hannah Nicholls and Martin O{\textquoteright}Reilly and Christina Pagel and Roberts, \{Timothy J.\} and Robertson, \{David S.\} and Wong, \{Wai Keong\}",

note = "Publisher Copyright: {\textcopyright} 2025 by the authors.",

year = "2025",

month = dec,

doi = "10.3390/data10120195",

language = "English",

volume = "10",

number = "12",

}

TY - JOUR

T1 - DECOVID

T2 - A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research

AU - Aslett, Louis J.M.

AU - Avramescu, Andreea

AU - Bakewell, Nicholas

AU - Birds, Isabel

AU - Bowler, Louise

AU - Camilleri, Michael P.J.

AU - Chung, Sheng Chia

AU - Clifton, David A.

AU - Cohen, Samuel N.

AU - Constantine-Cooke, Nathan

AU - Daub, Eric G.

AU - Davidson, Shaun

AU - Denaxas, Spiros

AU - Diaz-Ordaz, Karla

AU - Feltbower, Richard

AU - Gallier, Suzy

AU - Gardiner, Stephen

AU - Gasperoni, Francesca

AU - Goudie, Robert J.B.

AU - Green, Rebecca E.

AU - Hall, Marlous

AU - Holmes, Chris

AU - Hurst, John R.

AU - Iles, Mark M.

AU - Jorge, Joao

AU - Karoune, Emma

AU - Keogh, Ruth

AU - King, Ruairidh

AU - King, Ruth

AU - Kirk, Paul D.W.

AU - Klapaukh, Roman

AU - Kouchaki, Samaneh

AU - Lai, Alvina G.

AU - Lea, Nathan

AU - Leyrat, Clemence

AU - Li, Kezhi

AU - Lilaonitkul, Watjana

AU - Lu, Huiqi Y.

AU - Lyons, Terry

AU - Mallon, Ann Marie

AU - Manderson, Andrew

AU - Margaritella, Nicolò

AU - Matteson, Joshua

AU - Morley, Sam

AU - Nicholls, Hannah

AU - O’Reilly, Martin

AU - Pagel, Christina

AU - Roberts, Timothy J.

AU - Robertson, David S.

AU - Wong, Wai Keong

PY - 2025/12

Y1 - 2025/12

N2 - 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.

AB - 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.

KW - COVID-19

KW - electronic health record

KW - hospital data

UR - https://www.scopus.com/pages/publications/105028475260

U2 - 10.3390/data10120195

DO - 10.3390/data10120195

M3 - Article

AN - SCOPUS:105028475260

VL - 10

JO - Data

JF - Data

IS - 12

M1 - 195

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this