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Related Experiment Videos

Proposing a roadmap for HealthGrids.

Vincent Breton1, Ignacio Blanquer, Vicente Hernandez

  • 1LPC, CNRS-IN2P3, Campus des Cézeaux, 63177 Aubière Cedex, France.

Studies in Health Technology and Informatics
|July 11, 2006
PubMed
Summary
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Grid computing is advancing in life sciences, particularly for drug discovery. However, data and knowledge grids need development to fully support healthcare applications and identify adoption bottlenecks.

Area of Science:

  • Biomedical Sciences
  • Health Informatics
  • Computational Science

Background:

  • Grid applications are increasingly deployed in life sciences and medical research.
  • Successful large-scale deployment of a biomedical application for drug discovery on EGEE occurred in 2005.
  • Data and knowledge grids are nascent, with many projects focusing on developing relevant services and tools.

Purpose of the Study:

  • To analyze the current adoption of grid technologies in European biomedical sciences and healthcare.
  • To identify potential bottlenecks hindering the widespread use of grids in healthcare.
  • To propose a roadmap for the adoption of HealthGrids.

Main Methods:

  • Analysis of the current state of grid adoption in European biomedical and healthcare sectors.

Related Experiment Videos

  • Identification of existing challenges and bottlenecks.
  • Proposal of actions for future assessment within the SHARE European project.

    • Main Results:

    • While compute-intensive grid applications are successful, data and knowledge grids are less developed.
    • There is a need to address bottlenecks for broader grid adoption in healthcare.
    • The SHARE project will further assess proposed actions for a HealthGrid roadmap.

    Conclusions:

    • The adoption of grid computing in healthcare requires further development of data and knowledge management capabilities.
    • Identifying and addressing bottlenecks is crucial for the successful implementation of HealthGrids.
    • A strategic roadmap is necessary to guide the wide adoption of grids for healthcare.