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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
Summary
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.
- 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.