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Communication patterns for interconnecting and composing medical systems.

Venkatesh-Prasad Ranganath, Yu Jin Kim, John Hatcliff

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
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    Summary
    This summary is machine-generated.

    This study introduces communication patterns for building medical systems in Integrated Clinical Environments (ICE). These patterns simplify system development and enhance interoperability between devices and applications.

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    Area of Science:

    • Computer Science
    • Medical Informatics
    • Software Engineering

    Background:

    • Integrated Clinical Environments (ICE) require robust communication between diverse medical devices and applications.
    • Current approaches often involve complex, custom communication protocols, increasing development time and potential for errors.
    • A standardized method for communication is needed to streamline the creation of interconnected medical systems.

    Purpose of the Study:

    • To propose a set of communication patterns for the modular construction of medical systems within ICE.
    • To abstract communication complexities, thereby reducing engineering overhead.
    • To facilitate compositional reasoning and enhance the reliability of integrated medical systems.

    Main Methods:

    • Development of abstract communication patterns designed for medical system composition.
    • Implementation of these patterns on two distinct middleware platforms: RTI Connext and Vert.x.
    • Validation through experimentation on the chosen platforms to assess feasibility and effectiveness.

    Main Results:

    • Successfully defined and implemented communication patterns tailored for ICE.
    • Demonstrated the abstraction of communication details, simplifying system integration.
    • Validated the patterns' utility through successful implementation on both RTI Connext and Vert.x platforms.

    Conclusions:

    • The proposed communication patterns effectively enable the composition of medical systems in ICE.
    • These patterns reduce engineering complexity and improve the ability to reason about system behavior.
    • The successful implementation on multiple platforms highlights the generalizability and practical applicability of the approach.