Definition of BIG DATA according to GARTNER

Big data is high-volume, high-velocity and high-variety That information assets cost-effective demand, Innovative forms of information processing for enhanced insight and decision making.

In the present in Biomedicine there is an increasing generation of amounts of data from point sources such as research environments, from health professionals and patients themselves:

  • Electronic Clinical Histories
  • Data from genomic sequencing
  • Medical Images in High resolution
  • Mobile devices that monitor the patients health
  • Wearables sensors

THE CHALLENGE

How to take advantage of this “avalanche” of unstructured information to organize it in an easy and intuitive way to get to predict, prevent and establish better prevention strategies and therapies.

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THE V’s OF BIG DATA

VOLUME data from a wide VARIABILITY sources, with increasing generating SPEED.
These data must be processed in real time to create clinical value. You have to get models and patterns from the information so that it allows the prediction and subsequent decisions. This will help to understand the cycle of disease, these data may be transferred to clinical applications thereby improving the processes of detection, diagnosis, and treatment.

BITAC and the V of VARIETY

BITAC can help in this process, converting data from heterogeneous data sources to a CLINICAL STANDARD (LOINC, SNOMED CT, ICD10, NANDA, NIC, NOC, …). We help transform data into clinical knowledge through the use of standards.

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