Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

There is an enormous number of healthcare analytics applications in existence which have been embedded into healthcare systems with varying degrees of success. One of the key challenges is their need for access to sensitive patient data in a healthcare system that has a multitude of healthcare applications. This paper introduces a new theoretical framework as an architecture in which Healthcare 4.0 applications can operate. The framework proposes using Apache Kafka as the core technology for creating data integration pipelines with the goal being to bring standardisation into the healthcare systems. The architecture offers a safe and secure environment in which multiple applications and algorithms from different organisations can seamlessly co-exist.
Original languageEnglish
Title of host publicationAdvances in Computer Vision and Computational Biology
PublisherSpringer Nature Switzerland AG
ISBN (Electronic)978-3-030-71051-4
ISBN (Print)978-3-030-71050-7
DOIs
Publication statusPublished - 06 Aug 2021

Publication series

NameTransactions on Computational Science and Computational Intelligence
ISSN (Electronic)2569-7072

Keywords

  • Healthcare 4.0
  • Apache Kafka
  • big data
  • data pipelines
  • real-time analytics

Fingerprint

Dive into the research topics of 'Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems'. Together they form a unique fingerprint.

Cite this