HELP the next generation: a new client-server architecture | JoVE Visualize

HELP the next generation: a new client-server architecture

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

Proceedings. Symposium on Computer Applications in Medical Care|January 1, 1994

View abstract on PubMed

Summary

A new client-server system using a lifetime data repository (LDR) enhances patient care decision support. It features an open architecture for rapid development and distributed computing, utilizing commercial components and standards for integration.

Area of Science:

Health Informatics
Computer Science
Software Engineering

Background:

The existing HELP* system provided patient-centered decision support.
There was a need for an improved system with an open architecture.
Faster application development and distributed computing were desired.

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 supporting faster application development and distributed execution.

Main Methods:

Utilized commercially available software components.
Adhered to national and international software integration standards.
Implemented using MS-DOS, OS/2, and UNIX operating systems.
Employed Microsoft OLE 2.0 for clinical database interface.
Used TUXEDO as a transaction/communication manager.
Integrated ORACLE Relational Database Management System (RDBMS).

Main Results:

A new client-server system architecture has been designed.
The system integrates commercial off-the-shelf software and adheres to standards.
Key technologies include OLE 2.0, TUXEDO, and ORACLE RDBMS.
The architecture supports distributed application execution.

Conclusions:

The new system architecture successfully integrates commercial components and standards.
It is designed to support patient-centered decision support with enhanced flexibility.
The open architecture facilitates faster application development and distributed computing.