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Precision medicine in chronic disease management: The multiple sclerosis B io S creen
Author(s) -
Gourraud PierreAntoine,
Henry Roland G.,
Cree Bruce A. C.,
Crane Jason C.,
Lizee Antoine,
Olson Marram P.,
Santaniello Adam V.,
Datta Esha,
Zhu Alyssa H.,
Bevan Carolyn J.,
Gelfand Jeffrey M.,
Graves Jennifer S.,
Goodin Douglas S.,
Green Ari J.,
Büdingen H.Christian,
Waubant Emmanuelle,
Zamvil Scott S.,
CrabtreeHartman Elizabeth,
Nelson Sarah,
Baranzini Sergio E.,
Hauser Stephen L.
Publication year - 2014
Publication title -
annals of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.764
H-Index - 296
eISSN - 1531-8249
pISSN - 0364-5134
DOI - 10.1002/ana.24282
Subject(s) - standardization , precision medicine , contextualization , multiple sclerosis , data science , computer science , data management , health care , disease , medicine , translational medicine , interpretation (philosophy) , data mining , pathology , psychiatry , economics , programming language , economic growth , operating system
We present a precision medicine application developed for multiple sclerosis (MS): the MS BioScreen. This new tool addresses the challenges of dynamic management of a complex chronic disease; the interaction of clinicians and patients with such a tool illustrates the extent to which translational digital medicine—that is, the application of information technology to medicine—has the potential to radically transform medical practice. We introduce 3 key evolutionary phases in displaying data to health care providers, patients, and researchers: visualization (accessing data), contextualization (understanding the data), and actionable interpretation (real‐time use of the data to assist decision making). Together, these form the stepping stones that are expected to accelerate standardization of data across platforms, promote evidence‐based medicine, support shared decision making, and ultimately lead to improved outcomes. Ann Neurol 2014;76:633–642