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

L.M. Fleuren; T.A. Dam; M. Tonutti; D.P. de Bruin; R.C.A. Lalisang; D. Gommers; O.L. Cremer; R.J. Bosman; S. Rigter; E.-J. Wils; T. Frenzel; D.A. Dongelmans; R. de Jong; M. Peters; M.J.A. Kamps; D. Ramnarain; R. Nowitzky; F.G.C.A. Nooteboom; W. de Ruijter; L.C. Urlings-Strop; E.G.M. Smit; D.J. Mehagnoul-Schipper; T. Dormans; C.P.C. de Jager; S.H.A. Hendriks; S. Achterberg; E. Oostdijk; A.C. Reidinga; B. Festen-Spanjer; G.B. Brunnekreef; A.D. Cornet; W. van den Tempel; A.D. Boelens; P. Koetsier; J. Lens; H.J. Faber; A. Karakus; R. Entjes; P. de Jong; T.C.D. Rettig; S. Arbous; S.J.J. Vonk; M. Fornasa; T. Machado; T. Houwert; H. Hovenkamp; R. Noorduijn-Londono; D. Quintarelli; M.G. Scholtemeijer; A.A. de Beer; G. Cina; M. Beudel; W.E. Herter; A.R.J. Girbes; M. Hoogendoorn; P.J. Thoral; P.W.G. Elbers

doi:10.1186/s13054-021-03733-z

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

L.M. Fleuren
, T.A. Dam
, M. Tonutti
, D.P. de Bruin
, R.C.A. Lalisang
, D. Gommers
, O.L. Cremer
, R.J. Bosman
, S. Rigter
, E.-J. Wils
, T. Frenzel
, D.A. Dongelmans
, R. de Jong
, M. Peters
, M.J.A. Kamps
, D. Ramnarain
, R. Nowitzky
, F.G.C.A. Nooteboom
, W. de Ruijter
, L.C. Urlings-Strop

E.G.M. Smit, D.J. Mehagnoul-Schipper, T. Dormans, C.P.C. de Jager, S.H.A. Hendriks, S. Achterberg, E. Oostdijk, A.C. Reidinga, B. Festen-Spanjer, G.B. Brunnekreef, A.D. Cornet, W. van den Tempel, A.D. Boelens, P. Koetsier, J. Lens, H.J. Faber, A. Karakus, R. Entjes, P. de Jong, T.C.D. Rettig, S. Arbous, S.J.J. Vonk, M. Fornasa, T. Machado, T. Houwert, H. Hovenkamp, R. Noorduijn-Londono, D. Quintarelli, M.G. Scholtemeijer, A.A. de Beer, G. Cina, M. Beudel, W.E. Herter, A.R.J. Girbes, M. Hoogendoorn, P.J. Thoral, P.W.G. Elbers

Research output: Contribution to Journal › Article › Academic › peer-review

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 their daily fluid balance were available. Missing data are reported for each descriptive.

Conclusions: In this study, we show that EHR data from critically ill COVID-19 patients may be lawfully collected and can be combined into a data warehouse. These initiatives are indispensable to advance medical data science in the field of intensive care medicine.

Original language	English
Article number	304
Pages (from-to)	1-12
Number of pages	12
Journal	Critical Care
Volume	25
Issue number	1
Early online date	23 Aug 2021
DOIs	https://doi.org/10.1186/s13054-021-03733-z
Publication status	Published - Dec 2021

Bibliographical note

Funding

The Dutch ICU Data Sharing Against COVID-19 Collaborators: From collaborating hospitals having shared data: Julia Koeter, MD, Intensive Care, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands. Roger van Rietschote, Business Intelligence, Haaglanden MC, Den Haag,The Netherlands. M.C. Reuland, MD, Department of Intensive Care Medicine, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands. Laura van Manen, MD, Department of Intensive Care, BovenIJ Ziekenhuis, Amsterdam, The Netherlands. Leon Montenij, MD, PhD, Department of Anesthesiology, Pain Management and Intensive Care, Catharina Ziekenhuis Eindhoven, Eindhoven, The Netherlands. Jasper van Bommel, MD, PhD, Department of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands. Roy van den Berg, Department of Intensive Care, ETZ Tilburg, Tilburg, The Netherlands. Ellen van Geest, Department of ICMT, Haga Ziekenhuis, Den Haag, The Netherlands. Anisa Hana, MD, PhD, Intensive Care, Laurentius Ziekenhuis, Roermond, The Netherlands. B. van den Bogaard, MD, PhD, ICU, OLVG, Amsterdam, The Netherlands. Prof. Peter Pickkers, Department of Intensive Care Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands. Partially funded by grants from ZonMw (Project 10430012010003, file 50-55700-98-908), Zorgverzekeraars Nederland and the Corona Research Fund. The sponsors had no role in any part of the study.

Funders
Corona Research Fund
Department of Intensive Care
Department of Intensive Care Medicine, Radboud University Medical Centre
ETZ Tilburg
Haaglanden MC, Den Haag
ICMT
Zorgverzekeraars Nederland
ZonMw

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1186/s13054-021-03733-z

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Fleuren, L. M., Dam, T. A., Tonutti, M., de Bruin, D. P., Lalisang, R. C. A., Gommers, D., Cremer, O. L., Bosman, R. J., Rigter, S., Wils, E.-J., Frenzel, T., Dongelmans, D. A., de Jong, R., Peters, M., Kamps, M. J. A., Ramnarain, D., Nowitzky, R., Nooteboom, F. G. C. A., de Ruijter, W., ... Elbers, P. W. G. (2021). The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients. Critical Care, 25(1), 1-12. Article 304. https://doi.org/10.1186/s13054-021-03733-z

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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 their daily fluid balance were available. Missing data are reported for each descriptive. Conclusions: In this study, we show that EHR data from critically ill COVID-19 patients may be lawfully collected and can be combined into a data warehouse. These initiatives are indispensable to advance medical data science in the field of intensive care medicine.",

author = "L.M. Fleuren and T.A. Dam and M. Tonutti and \{de Bruin\}, D.P. and R.C.A. Lalisang and D. Gommers and O.L. Cremer and R.J. Bosman and S. Rigter and E.-J. Wils and T. Frenzel and D.A. Dongelmans and \{de Jong\}, R. and M. Peters and M.J.A. Kamps and D. Ramnarain and R. Nowitzky and F.G.C.A. Nooteboom and \{de Ruijter\}, W. and L.C. Urlings-Strop and E.G.M. Smit and D.J. Mehagnoul-Schipper and T. Dormans and \{de Jager\}, C.P.C. and S.H.A. Hendriks and S. Achterberg and E. Oostdijk and A.C. Reidinga and B. Festen-Spanjer and G.B. Brunnekreef and A.D. Cornet and \{van den Tempel\}, W. and A.D. Boelens and P. Koetsier and J. Lens and H.J. Faber and A. Karakus and R. Entjes and \{de Jong\}, P. and T.C.D. Rettig and S. Arbous and S.J.J. Vonk and M. Fornasa and T. Machado and T. Houwert and H. Hovenkamp and R. Noorduijn-Londono and D. Quintarelli and M.G. Scholtemeijer and \{de Beer\}, A.A. and G. Cina and M. Beudel and W.E. Herter and A.R.J. Girbes and M. Hoogendoorn and P.J. Thoral and P.W.G. Elbers",

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Fleuren, LM, Dam, TA, Tonutti, M, de Bruin, DP, Lalisang, RCA, Gommers, D, Cremer, OL, Bosman, RJ, Rigter, S, Wils, E-J, Frenzel, T, Dongelmans, DA, de Jong, R, Peters, M, Kamps, MJA, Ramnarain, D, Nowitzky, R, Nooteboom, FGCA, de Ruijter, W, Urlings-Strop, LC, Smit, EGM, Mehagnoul-Schipper, DJ, Dormans, T, de Jager, CPC, Hendriks, SHA, Achterberg, S, Oostdijk, E, Reidinga, AC, Festen-Spanjer, B, Brunnekreef, GB, Cornet, AD, van den Tempel, W, Boelens, AD, Koetsier, P, Lens, J, Faber, HJ, Karakus, A, Entjes, R, de Jong, P, Rettig, TCD, Arbous, S, Vonk, SJJ, Fornasa, M, Machado, T, Houwert, T, Hovenkamp, H, Noorduijn-Londono, R, Quintarelli, D, Scholtemeijer, MG, de Beer, AA, Cina, G, Beudel, M, Herter, WE, Girbes, ARJ, Hoogendoorn, M, Thoral, PJ & Elbers, PWG 2021, 'The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients', Critical Care, vol. 25, no. 1, 304, pp. 1-12. https://doi.org/10.1186/s13054-021-03733-z

TY - JOUR

T1 - The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients

AU - Fleuren, L.M.

AU - Dam, T.A.

AU - Tonutti, M.

AU - de Bruin, D.P.

AU - Lalisang, R.C.A.

AU - Gommers, D.

AU - Cremer, O.L.

AU - Bosman, R.J.

AU - Rigter, S.

AU - Wils, E.-J.

AU - Frenzel, T.

AU - Dongelmans, D.A.

AU - de Jong, R.

AU - Peters, M.

AU - Kamps, M.J.A.

AU - Ramnarain, D.

AU - Nowitzky, R.

AU - Nooteboom, F.G.C.A.

AU - de Ruijter, W.

AU - Urlings-Strop, L.C.

AU - Smit, E.G.M.

AU - Mehagnoul-Schipper, D.J.

AU - Dormans, T.

AU - de Jager, C.P.C.

AU - Hendriks, S.H.A.

AU - Achterberg, S.

AU - Oostdijk, E.

AU - Reidinga, A.C.

AU - Festen-Spanjer, B.

AU - Brunnekreef, G.B.

AU - Cornet, A.D.

AU - van den Tempel, W.

AU - Boelens, A.D.

AU - Koetsier, P.

AU - Lens, J.

AU - Faber, H.J.

AU - Karakus, A.

AU - Entjes, R.

AU - de Jong, P.

AU - Rettig, T.C.D.

AU - Arbous, S.

AU - Vonk, S.J.J.

AU - Fornasa, M.

AU - Machado, T.

AU - Houwert, T.

AU - Hovenkamp, H.

AU - Noorduijn-Londono, R.

AU - Quintarelli, D.

AU - Scholtemeijer, M.G.

AU - de Beer, A.A.

AU - Cina, G.

AU - Beudel, M.

AU - Herter, W.E.

AU - Girbes, A.R.J.

AU - Hoogendoorn, M.

AU - Thoral, P.J.

AU - Elbers, P.W.G.

PY - 2021/12

Y1 - 2021/12

N2 - 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 their daily fluid balance were available. Missing data are reported for each descriptive. Conclusions: In this study, we show that EHR data from critically ill COVID-19 patients may be lawfully collected and can be combined into a data warehouse. These initiatives are indispensable to advance medical data science in the field of intensive care medicine.

AB - 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 their daily fluid balance were available. Missing data are reported for each descriptive. Conclusions: In this study, we show that EHR data from critically ill COVID-19 patients may be lawfully collected and can be combined into a data warehouse. These initiatives are indispensable to advance medical data science in the field of intensive care medicine.

UR - https://www.scopus.com/pages/publications/85113794973

UR - https://www.scopus.com/pages/publications/85113794973#tab=citedBy

U2 - 10.1186/s13054-021-03733-z

DO - 10.1186/s13054-021-03733-z

M3 - Article

SN - 1364-8535

VL - 25

SP - 1

EP - 12

JO - Critical Care

JF - Critical Care

IS - 1

M1 - 304

ER -

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

Abstract

Bibliographical note

Funding

UN SDGs

Access to Document

Persistent URL (handle)

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