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Transaction processing using remote procedure calls (RPC) for a heterogeneous distributed clinical information

S G Tolchin1, E S Bergan, M Arseniev

  • 1Johns Hopkins Hospital, Baltimore, MD.

Computer Methods and Programs in Biomedicine
|September 1, 1987
PubMed
Summary
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Johns Hopkins Hospital created a distributed clinical information system integrating diverse computer systems. This system uses remote procedure calls (RPC) for efficient distributed application development across networks.

Area of Science:

  • Computer Science
  • Health Informatics
  • Distributed Systems

Background:

  • Integrating disparate clinical information systems presents significant technical challenges.
  • The need for seamless data exchange between heterogeneous computing environments in healthcare.

Purpose of the Study:

  • To describe the development of a distributed clinical information system at Johns Hopkins Hospital.
  • To detail the implementation of a distributed model using interprocess communications.
  • To showcase the application of remote procedure calls (RPC) for integrating diverse computer systems.

Main Methods:

  • Development of a distributed clinical information system integrating UNIX, IBM MVS/CICS, and MUMPS.
  • Utilization of interprocess communications over Ethernet for distributed application development.

Related Experiment Videos

  • Implementation of Sun Microsystems' Remote Procedure Call (RPC) and External Data Representation (XDR) protocols.
  • Main Results:

    • Successful integration of functionally diverse computer systems into a unified clinical information system.
    • Demonstration of RPC as a viable protocol for developing distributed applications in complex environments.
    • Establishment of a standardized approach to distributed application development using subroutine call metaphors.

    Conclusions:

    • The implemented distributed model effectively integrates heterogeneous clinical information systems.
    • Remote procedure calls provide a robust and standardized method for inter-system communication in healthcare IT.
    • The developed system offers a scalable solution for clinical information management.