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Title

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

Authors
Gossec, Laure
Kedra, Joanna
Servy, Hervé
Pandit, Aridaman
Stones, Simon
Berenbaum, Francis
Baraliakos, Xenofon
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Published in Annals of the Rheumatic Diseases. 2020, vol. 79, no. 1, p. 69-76
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 EpidemiologyHealth services researchOutcomes research.
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PMID: 31229952
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Article (Published version) (441 Kb) - document accessible for UNIGE members only Limited access to UNIGE
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Research group Recherche clinique en rhumatismes inflammatoires (1010)
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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 https://archive-ouverte.unige.ch/unige:134073

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Deposited on : 2020-04-06

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