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Precision medicine in chronic disease management: The multiple sclerosis BioScreen.

By Pierre-Antoine Gourraud, Roland G Henry, Bruce AC Cree, Jason C Crane, Antoine Lizee, Marram P Olson, Adam V Santaniello, Esha Datta, Alyssa H Zhu, Carolyn J Bevan, Jeffrey M Gelfand, Jennifer S Graves, Douglas S Goodin, Ari J Green, H-Christian von Büdingen, Emmanuelle Waubant, Scott S Zamvil, Elizabeth Crabtree-Hartman, Sarah Nelson, Sergio E Baranzini and Stephen L Hauser

Abstract

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

Topics: Humans, Multiple Sclerosis, Evidence-Based Medicine, Software, Databases, Factual, Information Theory, Disease Management, Databases, Factual, Autoimmune Disease, Clinical Trials and Supportive Activities, Neurodegenerative, Networking and Information Technology R&D, Neurosciences, Clinical Research, Brain Disorders, Neurological, Generic Health Relevance, Neurology & Neurosurgery, Clinical Sciences
Publisher: eScholarship, University of California
Year: 2014
OAI identifier: oai:escholarship.org/ark:/13030/qt6kq517vm
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