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Related Experiment Videos

HELP the next generation: a new client-server architecture

S M Huff1, P J Haug, L E Stevens

  • 1Department of Medical Informatics, University of Utah, Salt Lake City 84113.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1994
PubMed
Summary
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A new client-server system uses a lifetime data repository (LDR) to enhance patient-centered decision support. This open architecture enables faster development and distributed computing using commercial software and standards.

Area of Science:

  • Health Informatics
  • Computer Science
  • Software Engineering

Background:

  • The existing HELP* system provided patient-centered decision support.
  • Limitations in the HELP* system architecture hindered rapid application development and distributed computing.
  • A need existed for an open, adaptable system to overcome these limitations.

Purpose of the Study:

  • To develop a new client-server system centered around a lifetime data repository (LDR).
  • To maintain patient-centered decision support capabilities.
  • To provide an open architecture for accelerated application development and distributed execution.

Main Methods:

  • Implementation using commercially available software components.
  • Adherence to national and international software integration standards.

Related Experiment Videos

  • Utilization of MS-DOS, OS/2, and UNIX as operating systems.
  • Microsoft OLE 2.0 for clinical database interface.
  • TUXEDO as a transaction/communication manager.
  • ORACLE RDBMS as the database management system.

    • Main Results:

    • Construction of a new client-server system based on a lifetime data repository (LDR).
    • The system architecture supports distributed application execution across multiple computers.
    • Integration achieved through commercial software and adherence to standards.

    Conclusions:

    • The new system successfully integrates patient-centered decision support with an open architecture.
    • The use of commercial components and established standards facilitates faster development and system distribution.
    • This approach provides a scalable and adaptable platform for clinical information systems.