Big Data Proactive Risk Management

SAP HANA platform for healthcare

 

Healthcare organizations generate massive amounts of data about patients, treatments, medications, costs, and claims. Best-run healthcare providers put their Big Data, including genomics and lifestyle data, to work for them by using in-memory computing technology to drive new value.

 

Project “Medical Insights”

Scope

  • Provide and connect relevant content from structured and unstructured clinical data
  • Gain fast and complete access to relevant content and practices
  • Validate analytical results through qualitative exploration of underlying sources
  • Deliver clinical data for linkage with gene-expression data
  • Build up an organizational memory
  • Deliver information on possible patient cohorts
  • Visualize findings from different data sources
  • Create and share summaries of findings

Key benefits

  • Reduce costs through time savings in data research; leverage existing content, avoiding multiple purchases; and create content through insight into existing assets
  • Increase the quality of expert processes in an organization by capturing expert know-how in semantic layers and making it persistent, explicit, and available for reuse

 

Project “Genome Analysis”

Scope

  • Real-time analyses of large-scale genomic data
  • One application to perform all processing and analyses steps
  • Flexibility in choosing any algorithm for processing of genome data (alignment and variant calling)
  • Alignment algorithms from SAP
  • Means to manually add annotations (metadata) to genomic data or link to external literature databases

Key benefits

  • Fast analyses of large-scale, genome-variant data sets
  • One system to take raw DNA reads (from any sequencing machine) through all processing steps and through analyses
  • Flexibility in configuring the processing pipeline (alignment and variant calling) to transform raw DNA reads into variant data