Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
Service-Oriented Architecture As an Integration and Scalability Strategy of Clinical Decision Support Systems



Yazdani A1 ; Safdari R2 ; Sharifian R1 ; Zahmatkeshan M3 ; Saeedi MG2, 4
Authors

Source: Journal of Payavard Salamat Published:2020

Abstract

Background and Aim: When clinical decision support systems are developed, implementing solutions that enable these systems to be -used on a large scale can reduce the production costs associated with the creation, maintenance and by sharing these systems, producing multiple clinical decision support systems will be prevented. In recent years, one of the approaches used for this purpose in combination with clinical decision support systems is the service-oriented architecture approach. The purpose of this study was to investigate the role and importance of service-oriented architecture in delivering scalable architectures of clinical decision support systems focusing on different approaches to this architecture. Materials and Methods: This article is a simple review article. Bibliographic databases of IEEE Explore, Science Direct, Springer, Web of Science, and Scopus were reviewed. The keywords Service Oriented Architecture and clinical decision support systems were used as keywords along with related terms for searching these databases. Results: The clinical decision support systems based on service-oriented architecture brings benefits such as Facilitate knowledge maintenance, reducing costs and improving agility. Point-to-point communication, enterprise service bus, service registry, clinical and engine guiding engine, and service choreography and orchestration are general architectural designs that are evident in the use of web-based clinical decision support systems based on a service-oriented architecture approach. Conclusion: Service-oriented architecture is a potential solution for delivering scalable platforms for clinical decision systems. © 2020, Tehran University of Medical Sciences. All rights reserved.