Related Experiment Videos
Transaction processing using remote procedure calls (RPC) for a heterogeneous distributed clinical information system
S G Tolchin1, E S Bergan, M Arseniev
1Johns Hopkins Hospital, Baltimore, MD.
Computer Methods and Programs in Biomedicine
|September 1, 1987
Summary
Johns Hopkins Hospital created a distributed clinical information system integrating diverse computer systems. This system uses remote procedure calls (RPC) for efficient distributed application development across networks.
Area of Science:
- Computer Science
- Health Informatics
- Distributed Systems
Background:
- Integrating disparate clinical information systems presents significant technical challenges.
- The need for seamless data exchange between heterogeneous computing environments in healthcare.
Purpose of the Study:
- To describe the development of a distributed clinical information system at Johns Hopkins Hospital.
- To detail the implementation of a distributed model using interprocess communications.
- To showcase the application of remote procedure calls (RPC) for integrating diverse computer systems.
Main Methods:
- Development of a distributed clinical information system integrating UNIX, IBM MVS/CICS, and MUMPS.
- Utilization of interprocess communications over Ethernet for distributed application development.
- Implementation of Sun Microsystems' Remote Procedure Call (RPC) and External Data Representation (XDR) protocols.
Main Results:
- Successful integration of functionally diverse computer systems into a unified clinical information system.
- Demonstration of RPC as a viable protocol for developing distributed applications in complex environments.
- Establishment of a standardized approach to distributed application development using subroutine call metaphors.
Conclusions:
- The implemented distributed model effectively integrates heterogeneous clinical information systems.
- Remote procedure calls provide a robust and standardized method for inter-system communication in healthcare IT.
- The developed system offers a scalable solution for clinical information management.