AP-HP Health Data Space (AHDS) to the Test of the Covid-19 Pandemic.

Clinical Data Warehouse Covid-19 pandemics Data space Electronic Health Record Real-world data

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 May 2022
Historique:
entrez: 25 5 2022
pubmed: 26 5 2022
medline: 27 5 2022
Statut: ppublish

Résumé

Sharing observational and interventional health data within a common data space enables university hospitals to leverage such data for biomedical discovery and moving towards a learning health system. To describe the AP-HP Health Data Space (AHDS) and the IT services supporting piloting, research, innovation and patient care. Built on three pillars - governance and ethics, technology and valorization - the AHDS and its major component, the Clinical Data Warehouse (CDW) have been developed since 2015. The AP-HP CDW has been made available at scale to AP-HP both healthcare professionals and public or private partners in January 2017. Supported by an institutional secured and high-performance cloud and an ecosystem of tools, mostly open source, the AHDS integrates a large amount of massive healthcare data collected during care and research activities. As of December 2021, the AHDS operates the electronic data capture for almost +840 clinical trials sponsored by AP-HP, the CDW is enabling the processing of health data from more than 11 million patients and generated +200 secondary data marts from IRB authorized research projects. During the Covid-19 pandemic, AHDS has had to evolve quickly to support administrative professionals and caregivers heavily involved in the reorganization of both patient care and biomedical research. The AP-HP Data Space is a key facilitator for data-driven evidence generation and making the health system more efficient and personalized.

Identifiants

pubmed: 35612010
pii: SHTI220390
doi: 10.3233/SHTI220390
doi:

Types de publication

Journal Article

Langues

eng

Pagination

28-32

Auteurs

Christel Daniel (C)

Innovation and Data, IT Department, AP-HP, Paris, France.
LIMICS, F-75006, Paris, France.
Sorbonne Universités, Paris, France.

Nicolas Paris (N)

Innovation and Data, IT Department, AP-HP, Paris, France.

Olivier Pierre (O)

Innovation and Data, IT Department, AP-HP, Paris, France.

Nicolas Griffon (N)

Innovation and Data, IT Department, AP-HP, Paris, France.
LIMICS, F-75006, Paris, France.
Sorbonne Universités, Paris, France.

Stéphane Breant (S)

Innovation and Data, IT Department, AP-HP, Paris, France.

Nina Orlova (N)

Innovation and Data, IT Department, AP-HP, Paris, France.

Patricia Serre (P)

Innovation and Data, IT Department, AP-HP, Paris, France.

Damien Leprovost (D)

Innovation and Data, IT Department, AP-HP, Paris, France.
LIMICS, F-75006, Paris, France.
Sorbonne Universités, Paris, France.

Stéphane Denglos (S)

Innovation and Data, IT Department, AP-HP, Paris, France.

Alexandre Mouchet (A)

Innovation and Data, IT Department, AP-HP, Paris, France.

Julien Dubiel (J)

Innovation and Data, IT Department, AP-HP, Paris, France.

Rafael Gozlan (R)

Innovation and Data, IT Department, AP-HP, Paris, France.

Gilles Chatellier (G)

Innovation and Data, IT Department, AP-HP, Paris, France.

Romain Bey (R)

Innovation and Data, IT Department, AP-HP, Paris, France.

Marie Frank (M)

Department of Medical Information (DIM), Hôpitaux Universitaires Paris-Saclay, AP-HP Paris, France.

Claire Hassen-Khodja (C)

Direction de la Recherche Clinique et de l'Innovation, Paris, France.

Marie-France Mamzer (MF)

Université de Paris, AP-HP, Paris, France.

Martin Hilka (M)

Innovation and Data, IT Department, AP-HP, Paris, France.

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