Some experiences and opportunities for big data in translational research. Review uri icon

Overview

MeSH

  • Genetics, Medical
  • Genomics
  • Humans
  • Information Storage and Retrieval
  • Meaningful Use
  • Phenotype
  • Translational Medical Research

MeSH Major

  • Databases, Factual
  • Electronic Health Records
  • Genetic Testing
  • Medical Informatics

abstract

  • Health care has become increasingly information intensive. The advent of genomic data, integrated into patient care, significantly accelerates the complexity and amount of clinical data. Translational research in the present day increasingly embraces new biomedical discovery in this data-intensive world, thus entering the domain of "big data." The Electronic Medical Records and Genomics consortium has taught us many lessons, while simultaneously advances in commodity computing methods enable the academic community to affordably manage and process big data. Although great promise can emerge from the adoption of big data methods and philosophy, the heterogeneity and complexity of clinical data, in particular, pose additional challenges for big data inferencing and clinical application. However, the ultimate comparability and consistency of heterogeneous clinical information sources can be enhanced by existing and emerging data standards, which promise to bring order to clinical data chaos. Meaningful Use data standards in particular have already simplified the task of identifying clinical phenotyping patterns in electronic health records.

publication date

  • October 2013

has subject area

  • Databases, Factual
  • Electronic Health Records
  • Genetic Testing
  • Genetics, Medical
  • Genomics
  • Humans
  • Information Storage and Retrieval
  • Meaningful Use
  • Medical Informatics
  • Phenotype
  • Translational Medical Research

Research

keywords

  • Journal Article
  • Review

Identity

Language

  • eng

PubMed Central ID

  • PMC3906918

Digital Object Identifier (DOI)

  • 10.1038/gim.2013.121

PubMed ID

  • 24008998

Additional Document Info

start page

  • 802

end page

  • 809

volume

  • 15

number

  • 10