The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients

Abstract Background The Coronavirus disease 2019 (COVID-19) pandemic has underlined the urgent need for reliable, multicenter, and full-admission intensive care data to advance our understanding of the course of the disease and investigate potential treatment strategies. In this study, we present the Dutch Data Warehouse (DDW), the first multicenter electronic health record (EHR) database with full-admission data from critically ill COVID-19 patients. Methods A nation-wide data sharing collaboration was launched at the beginning of the pandemic in March 2020. All hospitals in the Netherlands w... Mehr ...

Verfasser: Lucas M. Fleuren
Tariq A. Dam
Michele Tonutti
Daan P. de Bruin
Robbert C. A. Lalisang
Diederik Gommers
Olaf L. Cremer
Rob J. Bosman
Sander Rigter
Evert-Jan Wils
Tim Frenzel
Dave A. Dongelmans
Remko de Jong
Marco Peters
Marlijn J. A. Kamps
Dharmanand Ramnarain
Ralph Nowitzky
Fleur G. C. A. Nooteboom
Wouter de Ruijter
Louise C. Urlings-Strop
Ellen G. M. Smit
D. Jannet Mehagnoul-Schipper
Tom Dormans
Cornelis P. C. de Jager
Stefaan H. A. Hendriks
Sefanja Achterberg
Evelien Oostdijk
Auke C. Reidinga
Barbara Festen-Spanjer
Gert B. Brunnekreef
Alexander D. Cornet
Walter van den Tempel
Age D. Boelens
Peter Koetsier
Judith Lens
Harald J. Faber
A. Karakus
Robert Entjes
Paul de Jong
Thijs C. D. Rettig
Sesmu Arbous
Sebastiaan J. J. Vonk
Mattia Fornasa
Tomas Machado
Taco Houwert
Hidde Hovenkamp
Roberto Noorduijn-Londono
Davide Quintarelli
Martijn G. Scholtemeijer
Aletta A. de Beer
Giovanni Cina
Martijn Beudel
Willem E. Herter
Armand R. J. Girbes
Mark Hoogendoorn
Patrick J. Thoral
Paul W. G. Elbers
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Critical Care, Vol 25, Iss 1, Pp 1-12 (2021)
Verlag/Hrsg.: BMC
Schlagwörter: Database / Big data / COVID-19 / Data sharing / Medical emergencies. Critical care. Intensive care. First aid / RC86-88.9
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28990476
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1186/s13054-021-03733-z

Abstract Background The Coronavirus disease 2019 (COVID-19) pandemic has underlined the urgent need for reliable, multicenter, and full-admission intensive care data to advance our understanding of the course of the disease and investigate potential treatment strategies. In this study, we present the Dutch Data Warehouse (DDW), the first multicenter electronic health record (EHR) database with full-admission data from critically ill COVID-19 patients. Methods A nation-wide data sharing collaboration was launched at the beginning of the pandemic in March 2020. All hospitals in the Netherlands were asked to participate and share pseudonymized EHR data from adult critically ill COVID-19 patients. Data included patient demographics, clinical observations, administered medication, laboratory determinations, and data from vital sign monitors and life support devices. Data sharing agreements were signed with participating hospitals before any data transfers took place. Data were extracted from the local EHRs with prespecified queries and combined into a staging dataset through an extract–transform–load (ETL) pipeline. In the consecutive processing pipeline, data were mapped to a common concept vocabulary and enriched with derived concepts. Data validation was a continuous process throughout the project. All participating hospitals have access to the DDW. Within legal and ethical boundaries, data are available to clinicians and researchers. Results Out of the 81 intensive care units in the Netherlands, 66 participated in the collaboration, 47 have signed the data sharing agreement, and 35 have shared their data. Data from 25 hospitals have passed through the ETL and processing pipeline. Currently, 3464 patients are included in the DDW, both from wave 1 and wave 2 in the Netherlands. More than 200 million clinical data points are available. Overall ICU mortality was 24.4%. Respiratory and hemodynamic parameters were most frequently measured throughout a patient's stay. For each patient, all administered medication and ...