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The rapid growth of big data is driving innovation in software development, with advanced analytics offering transformative opportunities in applied computing. Big Healthcare Data (BHD), characterised by multi-structured and complex data types, requires resilient and scalable architectures to effectively address critical data quality issues. This paper proposes a holistic framework for adopting advanced cloud-computing strategies to manage and optimise the unique characteristics of BHD processing. It outlines a comprehensive approach for ensuring optimal data handling for critical healthcare workflows by enhancing the system's quality attributes. The proposed framework prioritises and dynamically adjusts software functionalities in real-time, harnessing sophisticated orchestration capabilities to manage complex, multi-dimensional healthcare datasets, streamline operations, and bolster system resilience.

Original publication

DOI

10.3233/SHTI250065

Type

Chapter

Publication Date

08/04/2025

Volume

323

Pages

141 - 145

Keywords

Applied computing, architectural tactics, big healthcare data (BHD), cloud computing, quality attributes, Big Data, Software, Humans, Data Accuracy, Cloud Computing, Electronic Health Records