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Using a separate consent, the patients contribute DNA, RNA, and serum for future research. Quantitative measures of brain volume and lesion load are obtained. Brain magnetic resonance imaging is acquired using standardized acquisition sequences on Siemens 3T scanners. MS PATHS incorporates a self-administered patient assessment tool, the Multiple Sclerosis Performance Test, to collect a structured history, patient-reported outcomes, and quantitative testing of cognition, vision, dexterity, and walking speed. The eligible participants have diagnosis of MS, including clinically isolated syndrome, and consent for sharing pseudonymized data for research. Institutional participation required the following: active MS patient census of ≥500, at least one Siemens 3T magnetic resonance imaging scanner, and willingness to standardize patient assessments, share standardized data for research, and offer universal enrolment to capture a representative sample. Methods: MS PATHS is an ongoing initiative conducted in 10 healthcare institutions in three countries, each contributing standardized information acquired during routine care. This paper describes the initial implementation of MS PATHS and initial patient characteristics. 11University Hospital of Giessen and Marburg, Marburg, Germanyīackground: Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) is the first example of a learning health system in multiple sclerosis (MS).10OhioHealth, Columbus, OH, United States.9Vall d'Hebron University Hospital, Barcelona, Spain.8New York University, New York, NY, United States.7Center of Clinical Neuroscience, University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany.6University of Rochester Medical Center, Rochester, NY, United States.5Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States.2Cleveland Clinic, Cleveland, OH, United States.1Johns Hopkins University, Baltimore, MD, United States.Tivarus 6, Tjalf Ziemssen 7 and Richard A. Nicholas 10, Fabio Pellegrini 3, Alex Rovira 9, Maximilian Schulze 11, Björn Tackenberg 11, Mar Tintore 9, Madalina E. Benzinger 4, Carl de Moor 3, Elizabeth Fisher 3, Carrie M.
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