| Literature DB >> 33278741 |
Liesbet M Peeters1, Tina Parciak2, Dipak Kalra3, Yves Moreau4, Elisabeth Kasilingam5, Pieter van Galen5, Christoph Thalheim5, Bernard Uitdehaag6, Patrick Vermersch7, Niels Hellings8, Piet Stinissen8, Bart Van Wijmeersch8, Amin Ardeshirdavani4, Ashkan Pirmani9, Edward De Brouwer4, Christian Robert Bauer2, Dagmar Krefting10, Stephanie Ribbe11, Rod Middleton12, Alexander Stahmann13, Giancarlo Comi14.
Abstract
The Multiple Sclerosis Data Alliance (MSDA), a global multi-stakeholder collaboration, is working to accelerate research insights for innovative care and treatment for people with multiple sclerosis (MS) through better use of real-world data (RWD). Despite the increasing reliance on RWD, challenges and limitations complicate the generation, collection, and use of these data. MSDA aims to tackle sociological and technical challenges arising with scaling up RWD, specifically focused on MS data. MSDA envisions a patient-centred data ecosystem in which all stakeholders contribute and use big data to co-create the innovations needed to advance timely treatment and care of people with MS.Entities:
Keywords: Real world data; collaboration; learning health system; multiple sclerosis; patient engagement
Mesh：
Year: 2020 PMID： 33278741 DOI： 10.1016/j.msard.2020.102634
Source DB: PubMed Journal: Mult Scler Relat Disord ISSN： 2211-0348 Impact factor: 4.339