Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities.

Détails

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Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_94C6F4C5AB44
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities.
Périodique
Genome medicine
Auteur⸱e⸱s
Beckmann J.S., Lew D.
ISSN
1756-994X (Electronic)
ISSN-L
1756-994X
Statut éditorial
Publié
Date de publication
19/12/2016
Peer-reviewed
Oui
Volume
8
Numéro
1
Pages
134
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Résumé
This era of groundbreaking scientific developments in high-resolution, high-throughput technologies is allowing the cost-effective collection and analysis of huge, disparate datasets on individual health. Proper data mining and translation of the vast datasets into clinically actionable knowledge will require the application of clinical bioinformatics. These developments have triggered multiple national initiatives in precision medicine-a data-driven approach centering on the individual. However, clinical implementation of precision medicine poses numerous challenges. Foremost, precision medicine needs to be contrasted with the powerful and widely used practice of evidence-based medicine, which is informed by meta-analyses or group-centered studies from which mean recommendations are derived. This "one size fits all" approach can provide inadequate solutions for outliers. Such outliers, which are far from an oddity as all of us fall into this category for some traits, can be better managed using precision medicine. Here, we argue that it is necessary and possible to bridge between precision medicine and evidence-based medicine. This will require worldwide and responsible data sharing, as well as regularly updated training programs. We also discuss the challenges and opportunities for achieving clinical utility in precision medicine. We project that, through collection, analyses and sharing of standardized medically relevant data globally, evidence-based precision medicine will shift progressively from therapy to prevention, thus leading eventually to improved, clinician-to-patient communication, citizen-centered healthcare and sustained well-being.
Mots-clé
Databases, Factual, Evidence-Based Medicine/methods, Evidence-Based Medicine/trends, Humans, Precision Medicine/methods, Precision Medicine/trends
Pubmed
Web of science
Open Access
Oui
Création de la notice
28/09/2017 12:32
Dernière modification de la notice
09/08/2024 14:53
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