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Integrating Genomics and Clinical Data for Statistical Analysis by Using GEnome MINIng (GEMINI) and Fast Healthcare Interoperability Resources (FHIR): System Design and Implementation.

Julian GruendnerNicolas WolfLars TögelFlorian HallerHans-Ulrich ProkoschJan Christoph
Published in: Journal of medical Internet research (2020)
This study demonstrates that the GEMINI open source database can be augmented to create an NGS analysis pipeline. The pipeline generates high-quality results consistent with the already established workflows for gene variant annotation and pathological evaluation. We further demonstrate how NGS-derived genomic and other clinical data can be combined for further statistical analysis, thereby providing for data integration using standardized vocabularies and methods. Finally, we demonstrate the feasibility of the pipeline integration into hospital workflows by providing an exemplary integration into the data integration center infrastructure, which is currently being established across Germany.
Keyphrases
  • electronic health record
  • healthcare
  • big data
  • genome wide
  • emergency department
  • gene expression
  • machine learning
  • deep learning
  • genome wide identification
  • health insurance