Distributed processing of clinical practice data in grid environment for pharmacotherapy personalization and evidence-based pharmacology

  • Authors:
  • Alexey Zhuchkov;Nikolay Tverdokhlebov;Boris Alperovich;Alexander Kravchenko

  • Affiliations:
  • Telecommunication Centre UMOS, Moscow, Russia;Institute of Chemical Physics, Moscow, Russia;Moscow Medical Academy, Moscow, Russia;Telecommunication Centre UMOS, Moscow, Russia

  • Venue:
  • ISPA'07 Proceedings of the 2007 international conference on Frontiers of High Performance Computing and Networking
  • Year:
  • 2007

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Abstract

The paper describes XML-based information structures (metamodels) and software services both developed to search, collect and aggregate data of drug clinical usage and represent the information to users in a comprehensible way. These tools provide biomedical professionals with more complete, detailed and actual information on possible adverse events related to drug administration and thus support the evidence-based pharmacology and more personalized healthcare. Grid provides implementation of these tools on base of multi-agent system technology enabling information processing in loosely coupled data space.