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Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform.

Jacob McPaddenThomas J S DurantDustin R BunchAndreas C CoppiNathaniel PriceKris RodgersonCharles J TorreWilliam ByronAllen L HsiaoHarlan M KrumholzWade L Schulz
Published in: Journal of medical Internet research (2019)
The implementation and use of integrated data science platforms offer organizations the opportunity to combine traditional datasets, including data from the electronic health record, with emerging big data sources, such as continuous patient monitoring and real-time laboratory results. These platforms can enable cost-effective and scalable analytics for the information that will be key to the delivery of precision medicine initiatives. Organizations that can take advantage of the technical advances found in data science platforms will have the opportunity to provide comprehensive access to health care data for computational health care and precision medicine research.
Keyphrases
  • big data
  • electronic health record
  • healthcare
  • artificial intelligence
  • machine learning
  • public health
  • clinical decision support
  • primary care
  • quality improvement
  • single cell
  • high throughput
  • social media