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Finnish PACS project.

J Viitanen1, A Kiuru, K Heiska

  • 1Technical Research Centre, Medical Engineering Laboratory, Tampere, Finland.

Computer Methods and Programs in Biomedicine
|October 1, 1991
PubMed
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A Finnish Picture Archiving and Communication System (PACS) project determined functional needs for hospital imaging. Key findings include a 10 TB archive size requirement and variable network capacity needs, ranging from 1 Mbit/s to 100 Mbit/s.

Area of Science:

  • Medical Informatics
  • Digital Imaging Systems

Background:

  • A collaborative Finnish project investigated Picture Archiving and Communication Systems (PACS).
  • The project involved 13 university and central hospitals, governmental bodies, and telecommunication companies.
  • The Medical Engineering Laboratory of the Technical Research Centre of Finland led the initiative.

Purpose of the Study:

  • To define the functional requirements for a Picture Archiving and Communication System (PACS) in a hospital setting.
  • To analyze image production, archive storage, network bandwidth, and workstation needs.
  • To develop estimation methods for PACS network capacities.

Main Methods:

  • Conducted a study within a large university hospital to assess PACS functional needs.
  • Evaluated image production, archive size requirements, network capacity, and workstation specifications.

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  • Developed simple calculation rules for estimating required capacities.
  • Main Results:

    • Without data compression, image archive sizes require a minimum of 10 TB.
    • Network capacity needs vary significantly based on interactivity, typically under 1 Mbit/s but potentially reaching 100 Mbit/s.
    • A proposal for a hospital-wide PACS network was formulated.

    Conclusions:

    • The study established critical parameters for PACS implementation, including substantial storage and adaptable network infrastructure.
    • Developed practical guidelines for estimating network and storage capacities for effective PACS deployment.
    • Highlighted the importance of considering diverse usage scenarios for network design.