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Research Article Open access CC BY 4.0

Blockchain for Secure Data Storage and Sharing in Healthcare Systems

Gideon Owusu, Emmanuel Niiboye Odai, Onyemere Ijeoma Juliet, Olabode Soetan

Asian Journal of Advanced Research and Reports · pp. 418–432 · Published 26 Jun 2025

10.9734/ajarr/2025/v19i61070

Abstract

The healthcare industry faces significant challenges in managing sensitive patient data, with persistent concerns around data security, privacy, and interoperability. Blockchain technology, with its decentralized, transparent, and immutable characteristics, offers a promising solution to address these issues in modern healthcare systems. This study adopts a systematic review approach, guided by the PRISMA framework, to examine the potential of blockchain for enhancing data storage and sharing within healthcare, focusing on its capacity to secure Electronic Health Records (EHRs), improve patient privacy, and enable seamless data exchange among stakeholders. A total of 48 relevant articles published between 2016 and 2025 were systematically reviewed, drawing from multiple reputable databases including PubMed, Scopus, Web of Science, IEEE Xplore, ScienceDirect, and Google Scholar. Studies were selected based on explicit inclusion and exclusion criteria focusing on empirical and conceptual analyses of blockchain’s role in healthcare. Thematic analysis of the reviewed literature revealed three key themes: blockchain’s contribution to strengthening data security and patient privacy, its role in facilitating interoperability across diverse health information systems, and the technical, regulatory, and cost-related barriers hindering widespread adoption. Real-world implementations such as Estonia’s national blockchain-based health system, IBM’s Food Trust Blockchain, and the MedRec platform illustrate practical applications and benefits. Despite its potential, challenges related to scalability, integration with legacy systems, and regulatory compliance remain. Proposed solutions include hybrid blockchain models and increased collaboration between technology developers, healthcare providers, and policymakers. Future directions highlighted in the review suggest promising synergies between blockchain, Artificial Intelligence (AI), and the Internet of Things (IoT) for advancing personalized medicine, telehealth, and patient-controlled health records. Overall, the findings underscore blockchain’s transformative capacity for creating secure, patient-centred, and interoperable healthcare systems, while emphasizing the need for ongoing research and stakeholder cooperation to overcome existing barriers.

Blockchain data security Electronic Health Records (EHR) healthcare data management telemedicine

References (30)

  1. 1 Healthcare Data Breaches: Insights and Implications [DOI]
  2. 2 Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare [DOI]
  3. 3 The blockchain: State-of-the-art and research challenges [DOI]
  4. 4 A Blockchain-Based Smart Contract System for Healthcare Management [DOI]
  5. 5 Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing [DOI]
  6. 6 Characteristics of successful changes in health care organizations: an interview study with physicians, registered nurses and assistant nurses [DOI]
  7. 7 Blockchain and artificial intelligence technology in e-Health [DOI]
  8. 8 Blockchain for healthcare systems: Architecture, security challenges, trends and future directions [DOI]
  9. 9 Permissioned blockchain frameworks in the industry: A comparison [DOI]
  10. 10 Blockchain state-of-the-art: architecture, use cases, consensus, challenges and opportunities [DOI]
  11. 11 Blockchain integration in healthcare: a comprehensive investigation of use cases, performance issues, and mitigation strategies [DOI]
  12. 12 Secure decentralized electronic health records sharing system based on blockchains [DOI]
  13. 13 Electronic Health Records and Improved Patient Care: Opportunities for Applied Psychology [DOI]
  14. 14 BLOSOM: BLOckchain technology for Security Of Medical records [DOI]
  15. 15 An Evidence of Distributed Trust in Blockchain-Based Sustainable Food Supply Chain [DOI]
  16. 16 Blockchain for Quality: Advancing Security, Efficiency, and Transparency in Financial Systems [DOI]
  17. 17 From Data Silos to Health Records Without Borders: A Systematic Survey on Patient-Centered Data Interoperability [DOI]
  18. 18 BLOCKCHAIN TECHNOLOGY IN SUPPLY CHAIN MANAGEMENT: A COMPREHENSIVE REVIEW [DOI]
  19. 19 Analysis of integration of IoMT with blockchain: issues, challenges and solutions [DOI]
  20. 20 HIPAA and GDPR Compliance in IoT Healthcare Systems [DOI]
  21. 21 blockHealthSecure: Integrating Blockchain and Cybersecurity in Post-Pandemic Healthcare Systems [DOI]
  22. 22 HealthChain: A blockchain‐based framework for secure and interoperable electronic health records (EHRs) [DOI]
  23. 23 Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective [DOI]
  24. 24 Architecture of blockchain [DOI]
  25. 25 Bidirectional utilization of blockchain and privacy computing: Issues, progress, and challenges [DOI]
  26. 26 The Growing Cybersecurity Crisis in Healthcare: A Call to Action [DOI]
  27. 27 The Current Landscape of AI Application in Healthcare: A Review [DOI]
  28. 28 Security [DOI]
  29. 29 Blockchain-Based Secured Drug Traceability in Health Care Application [DOI]
  30. 30 The Impact of Blockchain Technology for Evaluation of Electronic Medical Certification [DOI]

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