Healthcare systems generate massive volumes of sensitive patient information and require the storage, sharing and access of the data in healthcare with maximum levels of reliability, integrity and confidentiality. Traditional forms of storage come with single points of failure, lack redundancy and are prone to cyber threats. This chapter introduces a new framework to exploit the power of approximate quantum cloning and blockchain technology in order to achieve secure and fault-tolerant data redundancy in healthcare. Approximate quantum cloning provides a mechanism for the replication of blocked quantum states with high fidelity which may be good for the creation of a secure backup and redundancy of medical data with a minimal loss of information. By combining these quantum methods with the use of some decentralized ledger system like block chain, the system has a tamper proof and unalterable storage and transparent access management. The synergy gives better data integrity, fault tolerance and availability and avoids the possibility of unauthorized changes. Furthermore, blockchain based consensus protocols and smart contracts are used in regulating access control, audit trails and compliance to healthcare regulations such as HIPAA and GDPR. The chapter also discusses the implementation strategies, architecture design, security analysis and shows how this hybrid approach solves some of the common problems that data redundancy faces like latency, cost and scalability. Real world applications in cases of Electronic Health Records (EHRs), telemedicine and clinical research data protection are discussed, together with possible challenges and limitations and future research directions. This work brings attention to the transformative potential that quantum cloning redundancy can have in combination with blockchain immutability in healthcare informatics, what it can do to revolutionize secure healthcare data ecosystem for next generation resilient healthcare data ecosystems.
Healthcare systems generate massive volumes of sensitive patient information and require the storage, sharing and access of the data in healthcare with maximum levels of reliability, integrity and confidentiality. Traditional forms of storage come with single points of failure, lack redundancy and are prone to cyber threats. This chapter introduces a new framework to exploit the power of approximate quantum cloning and blockchain technology in order to achieve secure and fault-tolerant data redundancy in healthcare. Approximate quantum cloning provides a mechanism for the replication of blocked quantum states with high fidelity which may be good for the creation of a secure backup and redundancy of medical data with a minimal loss of information. By combining these quantum methods with the use of some decentralized ledger system like block chain, the system has a tamper proof and unalterable storage and transparent access management. The synergy gives better data integrity, fault tolerance and availability and avoids the possibility of unauthorized changes. Furthermore, blockchain based consensus protocols and smart contracts are used in regulating access control, audit trails and compliance to healthcare regulations such as HIPAA and GDPR. The chapter also discusses the implementation strategies, architecture design, security analysis and shows how this hybrid approach solves some of the common problems that data redundancy faces like latency, cost and scalability. Real world applications in cases of Electronic Health Records (EHRs), telemedicine and clinical research data protection are discussed, together with possible challenges and limitations and future research directions. This work brings attention to the transformative potential that quantum cloning redundancy can have in combination with blockchain immutability in healthcare informatics, what it can do to revolutionize secure healthcare data ecosystem for next generation resilient healthcare data ecosystems.
Healthcare data management has undergone a transformation through digital advancements which emerged from clinical research databases, pharmaceutical supply chains, electronic health records (EHRs), and patient consent systems. Quantum computing systems that execute Shor's algorithm to break down RSA and ECC cryptographic systems will join the list of cyber threats which currently includes ransomware and insider attacks. The blockchain system provides a transparent decentralized ledger with permanent records that protects data integrity and traceability. Its ability to scale and defend against quantum attacks remains limited. The proposed multi-layered solution in this chapter combines blockchain technology with approximate quantum cloning and privacy-preserving machine learning (ML) to enhance healthcare data security, redundancy, and analytics capabilities. By addressing quantum threats and regulatory requirements, this framework fosters a resilient, patient-centric healthcare ecosystem, with future research focusing on scalability and quantum hardware integration.
Healthcare systems are increasingly data-driven through EHRs, telemedicine, and IoT-based medical devices. However, cyber threats, poor interoperability, and data tampering expose the vulnerabilities of centralized systems. Blockchain offers immutability and transparency, yet its traditional cryptography faces risks from quantum computing, which can compromise existing encryption. To address this, the chapter proposes a quantum-enhanced blockchain framework integrating post-quantum cryptography (PQC), quantum key distribution (QKD), and hybrid quantum-classical consensus. The model strengthens confidentiality, integrity, and availability (CIA) of healthcare data while ensuring interoperability and regulatory compliance. Key applications include secure EHR and genomic data management, automated patient consent handling, transparent drug supply chain monitoring, and protection of clinical research. The chapter also discusses ethical, technical, and regulatory challenges, offering insights into building resilient, quantum-secure healthcare ecosystems.
The rapid digitalisation of healthcare has accelerated the adoption of telemedicine, Electronic Health Records (EHRs), and the Internet of Medical Things (IoMT), transforming healthcare delivery into a highly interconnected and patient-centric ecosystem. In response to growing concerns about data security, privacy, and interoperability, blockchain technology has emerged as a promising solution for its decentralization, immutability, auditability, and secure access control. However, many existing blockchain infrastructures rely on classical cryptographic primitives, including RSA- or elliptic-curve-based public-key mechanisms and cryptographic hash functions such as SHA-256, whose relevant security properties may be affected by sufficiently powerful quantum attacks. This review investigates the convergence of blockchain and quantum technologies to address emerging security threats in e-health systems. A structured literature review was conducted in accordance with the PRISMA 2020 guidelines using the IEEE Xplore, PubMed, ACM Digital Library, Google Scholar, and Crossref databases, covering studies published between January 2018 and June 2025. Following a systematic screening and eligibility-verification process, 57 relevant studies were selected and analyzed. The review evaluates quantum-resilient security mechanisms, including Quantum Key Distribution (QKD), Quantum Random Number Generation (QRNG), and NIST-standardized Post-Quantum Cryptography (PQC) algorithms specified in FIPS 203, FIPS 204, and FIPS 205. Based on the identified research gaps in the state of the art, this study also proposes a novel four-layer Quantum-Blockchain Security Architecture (QBSA) designed for secure healthcare environments. The analysis further reveals significant challenges associated with lightweight PQC deployment for IoMT devices, interoperability standardization, quantum hardware limitations, and regulatory compliance in cross-institutional healthcare systems. The findings highlight the necessity of integrating quantum-resilient cryptographic frameworks with blockchain infrastructures to support the development of secure, scalable, and patient-centric next-generation e-health ecosystems.
Abstract The integration of quantum-enhanced blockchain and digital twin technologies offers a potent solution for advancing healthcare data security, particularly in ensuring the integrity and confidentiality of medical records. This paper presents a comprehensive framework that leverages quantum computing principles to enhance the security of blockchain networks, while digital twins are utilized for securely managing and accessing medical records. The proposed Quantum-Enhanced Blockchain Architecture employs quantum key distribution protocols and lattice-based cryptography to protect against quantum attacks, ensuring a secure and scalable decentralized system. The Digital Twin Framework for Medical Record Confidentiality integrates encryption and access control mechanisms to safeguard patient data. A novel Healthcare Encryption Algorithm (HEA) is proposed for encrypting and decrypting data in the digital twin, ensuring confidentiality and privacy. Furthermore, the Quantum-Enhanced Blockchain and Digital Twin Integration Process (QBDTIP) outlines the steps involved in securely managing medical records using these technologies. Experimental results demonstrate the system's robustness against cyber-attacks, scalability, interoperability, and effectiveness in ensuring data integrity and confidentiality. Overall, this research highlights the transformative potential of integrating quantum-enhanced blockchain and digital twin technologies for enhancing healthcare data security.
The rapid advancement of quantum computing poses a significant threat to classical cryptographic methods used in blockchain-based healthcare systems. Existing security mechanisms such as RSA and ECC are vulnerable to quantum attacks, posing a risk to patient data integrity, confidentiality, and authentication mechanisms. To address this challenge, postquantum cryptographic (PQC) solutions, including lattice-based, hash-based, code-based, and multivariate polynomial-based techniques, have been proposed. This study systematically reviews and classifies PQC methods and their integration into blockchainbased healthcare infrastructures. A three-layer security model is discussed to enhance blockchain resilience against quantum attacks. The study further explores on-chain, off-chain, and crosschain security mechanisms within healthcare applications to ensure secure medical data storage, patient identity management, and interoperability among healthcare providers. The findings suggest that hybrid cryptographic models, combining classical and post-quantum techniques, provide a practical transition strategy for ensuring long-term security in blockchain networks. This research contributes to the field by offering a structured classification of quantum-resistant blockchain security mechanisms and providing insights into future research directions, particularly in the areas of quantum-safe healthcare data management, performance optimization of PQC methods, and the development of quantum-resistant smart contracts.
The speeding up of digitalization within the health industry and rising dependency on EHRs pose an immediate need for stronger cybersecurity architectures and protocols powered by quantum computing. The long-term confidentiality of EHRs is threatened by the assumption in cryptographic algorithms such as RSA and ECC that large-scale quantum computers will never exist, since these algorithms will be broken when they do. We propose a satisfaction-based Quantum-Secured Blockchain Ecosystem (QSBE) combining QKD with a permissioned blockchain to protect the provenance and availability of medical data while eliminating unauthorized detection from third parties. Automated and auditable patient-centric consent is enforced via smart contracts, with quantum-resistant cryptography safeguarding data against harvest-now, decrypt-later attacks. The ecosystem enables cross-institutional interoperability, regulatory oversight, and removal of single-point-of-failure. Use cases—telehealth, EHR exchange, drug traceability, emergency access—demonstrate relevance.