Blockchain-Enhanced Cloud And Big Data Systems For Trustworthy Clinical Decision-Making

Abstract

The increasing digitization of healthcare
has resulted in vast amounts of data generated from
Electronic Health Records (EHRs), diagnostic
systems, and patient feedback platforms. Cloud
computing and big data analytics offer scalable
solutions for storing and processing this data,
enabling informed clinical decision-making.
However, existing systems often face challenges
related to data integrity, security, transparency, and
trust—especially when sensitive health information
is shared across multiple stakeholders. This paper
proposes a novel architecture integrates
permissioned blockchain technology, specifically
Hyperledger Fabric, to ensure secure, auditable, and
tamper-proof records. It leverages cloud
infrastructure for high-throughput data storage and
batch analytics, enabling healthcare providers to
extract meaningful insights from patient complaints
and clinical metrics. Natural Language Processing
(NLP) techniques are applied to unstructured data to
enhance sentiment analysis and identify systemic
issues. Smart contracts enforce data access policies,
ensuring compliance with privacy regulations such
as HIPAA and GDPR. By combining the strengths
of blockchain, cloud computing, and big data
analytics, the proposed system provides a more
secure, transparent, and efficient healthcare
environment. This integrated approach improves
patient trust, enhances operational efficiency, and
supports data-driven, personalized healthcare
decisions.