@inbook{116cf57e0bb742b293e9cb348b847275,
title = "Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems",
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.",
keywords = "Healthcare 4.0, Apache Kafka, big data, data pipelines, real-time analytics",
author = "Aleksandar Novakovic and A.H. Marshall and Carolyn McGregor",
year = "2021",
month = aug,
day = "6",
doi = "10.1007/978-3-030-71051-4\_45",
language = "English",
isbn = "978-3-030-71050-7",
series = "Transactions on Computational Science and Computational Intelligence",
publisher = "Springer Nature Switzerland",
booktitle = "Advances in Computer Vision and Computational Biology",
address = "Switzerland",
}