Scalable Web Services Architecture for Healthcare Data Processing

Authors

  • Anjani Haritha Sannidhanam Graduate Researcher Syracuse University, USA Author

Keywords:

Scalable Web Services, Healthcare Data Processing, Service-Oriented Architecture, Cloud Computing, Healthcare Information Systems, Big Data Analytics, Internet of Things, Electronic Health Records, Healthcare Security, Distributed Systems.

Abstract

Healthcare organizations are facing a challenge concerning the rapid growth of healthcare data that they have to manage, process, and efficiently deliver.The increasing volume of healthcare data from electronic health records, medical imaging systems, wearables, remote patient monitoring platforms, and clinical decision support applications is causing difficulties for healthcare organizations. Many traditional healthcare information systems face challenges with scalability, interoperability, reliability, and the need for real-time access to critical patient information as these needs continue to grow. To meet these challenges, scalable web services architectures have become a viable option, by providing distributed, service-oriented, and cloud-based healthcare environments.

This paper discusses the design and deployment of a scalable web services based system for healthcare data processing. The study focuses on the integration of service-oriented architecture (SOA), cloud computing, big data technologies, web services and the Internet of Things (IoT) infrastructure for enabling efficient management of healthcare information. The proposed architectural structure involves several layers, such as presentation, service, processing, storage, and security layers that provide seamless data exchange, high system availability, flexibility in resource usage, and secure healthcare operations. In addition, the study explores the impact of cloud-based platforms, data lakes, healthcare analytics systems, and remote patient monitoring services on enhancing healthcare service provision and operational efficiency.

The results show that scalable web services architectures can considerably improve access to healthcare data, as well as interoperability and processing capabilities, while enabling large-scale clinical and administrative applications. The study also identifies important issues for security, data privacy protection, data integration and system reliability. The findings overall show that scalable web services architectures offer a solid platform for the design of secure, resilient, and efficient healthcare information systems that can meet the needs of today's healthcare markets.

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Published

2020-06-23

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