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Security of distributed processing of medical image data using JINI technology
1Department of Biomedical Engineering, Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk, Poland. jwr@biomed.eti.pg.gda.pl
Summary
This study analyzes the security of Jini-based computational grids in healthcare, evaluating the costs of implementing safeguards for medical imaging tasks. Findings inform secure e-health infrastructure development.
Area of Science:
- Health Informatics
- Computer Science
- Medical Imaging
Background:
- Healthcare organizations (HCOs) utilize extensive computerization and broadband networks for data communication.
- Existing computer resources in HCOs are often task-oriented and underutilized.
- E-health standards facilitate workflow management for complex tasks using distributed processing.
Purpose of the Study:
- To present a security analysis of Jini-based computational grids within healthcare settings.
- To evaluate the costs associated with introducing security safeguards for these grids.
- To assess the applicability of Jini-based grids in medical imaging tasks.
Main Methods:
- Security analysis of Jini-based computational grids.
- Cost evaluation of implementing security safeguards.
- Application of Jini-based grids to two medical parametric imaging tasks: active, dynamic infrared imaging and dynamic susceptibility contrast imaging (DSC-MRI).
Main Results:
- The security analysis of Jini-based computational grids was performed.
- The cost of introducing safeguards was evaluated.
- The Jini-based grid was tested on specific medical imaging applications.
Conclusions:
- Jini-based computational grids offer a model for distributed processing in HCOs.
- Security and cost-effectiveness are key considerations for implementing grid technology in healthcare.
- Further research is needed to optimize the use of computational grids for complex medical tasks.
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