Big Data Use Cases – BioScience

Big Data Use Cases - BioScience

Manage biomedical data coming from multiple sources: Genomics (genotyping, gene expression, and now next-generation sequencing data) and the Payer-provider (electronic medical records, pharmacy prescription information, insurance records). With Hadoop, organizations can utilize these capabilities for advanced clinical trials and push results out to physicians quickly. Big Data can also be used to perform next-generation genome sequencing for large numbers of people at low cost.

Manage biomedicine Big Data coming from two sources:
  • Genomics-driven end (genotyping, gene expression, and now next-generation sequencing data)
  • Payer-provider end (electronic medical records, pharmacy prescription information, insurance records)
Perform next-generation genome sequencing
  • Greatly simplifies the sequencing of DNA, generate whole genome sequences for large numbers of people at low cost
  • Raw data-wise, is 4 terabytes of data from one person
Perform clinical trials using vast trove of observational healthcare data
  • Analyze pharmacy and insurance claims data together to identify adverse drug events
  • Delve into molecular-level data to discover biomarkers that help classify patients based on their response to existing treatments
  • Push their results out to physicians

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