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Related Experiment Videos

Moving a hospital information system towards a client server architecture

A Michel1, M Dieffenbach, A Reisacher

  • 1Department of Medical Informatics, University of Giessen, Germany.

Medinfo. MEDINFO
|January 1, 1995
PubMed
Summary

This study details the migration of a Hospital Information System (HIS) to an open client-server architecture. It outlines the transition from mainframe systems to a more accessible, networked environment for enhanced data sharing.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Information Systems

Background:

  • The University Hospital of Giessen utilized a centralized mainframe system for its Hospital Information System (HIS).
  • This architecture presented limitations in accessibility and integration with diverse remote applications.
  • A need for modernization towards a more flexible and open system was identified.

Purpose of the Study:

  • To provide an overview of the migration process of the Hospital Information System (HIS).
  • To describe the transition towards an open client-server based architecture.
  • To detail the software architecture and network interfaces enabling broader application access.

Main Methods:

  • Analysis of the existing mainframe HIS software architecture.

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  • Identification and description of network interfaces for system integration.
  • Design and implementation of a client-server based architecture.

    • Main Results:

    • Successful migration of the HIS to an open client-server architecture.
    • Enhanced connectivity allowing a wide variety of remote applications to interface with the HIS.
    • A modernized, more accessible hospital information infrastructure.

    Conclusions:

    • The migration to an open client-server architecture significantly improved the HIS accessibility and integration capabilities.
    • The described approach provides a viable model for other healthcare institutions undertaking similar system migrations.
    • Modernizing HIS architecture is crucial for efficient data management and improved healthcare delivery.