Introducing Cloud-Assisted Micro-Service-Based Software Development Framework for Healthcare Systems

In healthcare services, application development is considered the most complex and time-consuming phase. As it is difficult to plan and time-intense, it requires high maintenance. Healthcare applications need strict compliance and the scope of application is immense along with associates, classes in services, and classified system. Application designing in healthcare with the help of traditional approaches such as monolithic and service-oriented architecture (SOA) generate problems in different areas like service availability, remote access to services, service provisioning, scalability, healthcare systems integration with each other. That is why there is a need for less sophisticated and user-friendly healthcare systems, which are easy to plan and develop, inexpensive requirement maintenance, and agile testing. To overcome the aforesaid issues in the domain of healthcare application development, this paper develops a framework of micro services for the development of healthcare services using cloud computing infrastructure. Micro-service-based techniques provide lightly coupled and fine-grained methodology. With the use of micro services technique presented in this work, the efficiency, scalability, and performance are improved. In this research, an approach for development and deployment properly in the cloud for healthcare applications is developed. Thus, it contributes to the system design approach and system analysis. Quantitative and qualitative results are reported showing the advantages of micro services approach used.

Automated summary

The development of healthcare applications is considered complex and time-consuming. Traditional approaches such as monolithic and service-oriented architecture (SOA) generate problems in service availability, remote access, provisioning, scalability, and integration with other healthcare systems. This paper proposes a microservices framework using cloud computing infrastructure to address these issues. The approach improves efficiency, scalability, and performance, and contributes to system design and analysis in healthcare application development.