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DIOGENE 2, a distributed Hospital Information System with an emphasis on ist Medical Information Contenct
Yearbook of Medical Informatics
|September 27, 2016
Summary
The DIOGENE 2 system, a distributed hospital information system (HIS), replaced the older DIOGENE 1. This upgrade enhances integration of new medical technologies and supports hospital decentralization.
Area of Science:
- Medical Informatics
- Computer Science in Medicine
- Health Information Systems
Background:
- The mainframe-based DIOGENE 1 hospital information system (HIS) faced limitations in growth and integration with other medical systems.
- The need for faster networking and cooperation with heterogeneous systems necessitated a new HIS architecture.
Purpose of the Study:
- To describe the design and implementation of DIOGENE 2, a distributed HIS architecture.
- To facilitate the integration of new functionalities and support hospital organizational decentralization.
Main Methods:
- Migration from a centralized mainframe HIS (DIOGENE 1) to a distributed architecture (DIOGENE 2).
- Integration of new functionalities including a Wireless Information System (WIS) architecture, medical office patient histories, and PC-based client/server platforms.
- Utilizing medical natural language processing and semi-automatic encoding for patient records.
- Incorporating Picture Archiving and Communication Systems (PACS) and tools for molecular biology/genetics, including the ExPASy server via WWW/Mosaic.
Main Results:
- The distributed architecture of DIOGENE 2 facilitates cooperation with decentralized hospital organization.
- Successful integration of diverse functionalities like WIS, medical office patient histories, and advanced imaging/genetics tools.
- The system supports structured patient records and medical natural language processing.
Conclusions:
- The distributed architecture of DIOGENE 2 is well-suited for integrating and scaling new functionalities.
- DIOGENE 2 effectively supports modern hospital information needs, including advanced medical imaging and genetic data management.
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