EULAR points to consider for the use of big data in rheumatic and musculoskeletal diseases

Gossec, Laure; Kedra, Joanna; Servy, Hervé; Pandit, Aridaman; Stones, Simon; Berenbaum, Francis; Finckh, Axel; Baraliakos, Xenofon; Stamm, Tanja A; Gomez-Cabrero, David; Pristipino, Christian; Choquet, Remy; Burmester, Gerd R; Radstake, Timothy R D J

doi:10.1136/annrheumdis-2019-215694

Scientific article

English

EULAR points to consider for the use of big data in rheumatic and musculoskeletal diseases

ContributorsGossec, Laure; Kedra, Joanna; Servy, Hervé; Pandit, Aridaman; Stones, Simon; Berenbaum, Francis; Finckh, Axel; Baraliakos, Xenofon; Stamm, Tanja A; Gomez-Cabrero, David; Pristipino, Christian; Choquet, Remy; Burmester, Gerd R; Radstake, Timothy R D J

Published inAnnals of the Rheumatic Diseases, vol. 79, no. 1, p. 69-76

Publication date2020

Abstract

Tremendous opportunities for health research have been unlocked by the recent expansion of big data and artificial intelligence. However, this is an emergent area where recommendations for optimal use and implementation are needed. The objective of these European League Against Rheumatism (EULAR) points to consider is to guide the collection, analysis and use of big data in rheumatic and musculoskeletal disorders (RMDs).

Keywords

Epidemiology
Health services research
Outcomes research.

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de médecine

Research groups

Recherche clinique en rhumatismes inflammatoires (1010)

Citation (ISO format)

GOSSEC, Laure et al. EULAR points to consider for the use of big data in rheumatic and musculoskeletal diseases. In: Annals of the Rheumatic Diseases, 2020, vol. 79, n° 1, p. 69–76. doi: 10.1136/annrheumdis-2019-215694

Article (Published version)

Identifiers

PID : unige:134073
DOI : 10.1136/annrheumdis-2019-215694
PMID : 31229952

Journal ISSN0003-4967

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EULAR points to consider for the use of big data in rheumatic and musculoskeletal diseases

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