INNOVATIONS IN HEALTHCARE DATA INTEGRATION: BALANCING SCALABILITY, COMPLIANCE, AND CYBERSECURITY

The healthcare industry is experiencing a transformative shift in data management and security practices as organizations increasingly adopt cloud-based solutions and advanced technologies. This comprehensive article explores the evolution of healthcare data architecture, from traditional challenges to modern solutions including data lakes and federated learning. The article examines cutting-edge cybersecurity innovations, particularly AI-driven anonymization techniques and zero trust architectures, while addressing regulatory compliance and risk mitigation strategies. Through the lens of automated monitoring systems and advanced governance frameworks, the study investigates how healthcare organizations are balancing the demands of scalability with stringent security requirements. The article further delves into emerging trends such as edge computing, blockchain integration, and quantum-safe security measures, providing strategic recommendations for successful implementation and stakeholder engagement in the evolving healthcare technology landscape.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-26
DOI
https://doi.org/10.5281/zenodo.14223192
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

INNOVATIONS IN HEALTHCARE DATA INTEGRATION: BALANCING SCALABILITY, COMPLIANCE, AND CYBERSECURITY

Zenodo (CERN European Organization for Nuclear Research)
Impact of AI and Big Data on Business and Society
article

INNOVATIONS IN HEALTHCARE DATA INTEGRATION: BALANCING SCALABILITY, COMPLIANCE, AND CYBERSECURITY

article en

Abstract

The healthcare industry is experiencing a transformative shift in data management and security practices as organizations increasingly adopt cloud-based solutions and advanced technologies. This comprehensive article explores the evolution of healthcare data architecture, from traditional challenges to modern solutions including data lakes and federated learning. The article examines cutting-edge cybersecurity innovations, particularly AI-driven anonymization techniques and zero trust architectures, while addressing regulatory compliance and risk mitigation strategies. Through the lens of automated monitoring systems and advanced governance frameworks, the study investigates how healthcare organizations are balancing the demands of scalability with stringent security requirements. The article further delves into emerging trends such as edge computing, blockchain integration, and quantum-safe security measures, providing strategic recommendations for successful implementation and stakeholder engagement in the evolving healthcare technology landscape.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 60%
Impact of AI and Big Data on Business and Society
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