Healthcare systems widely use information technology (IT) for system authentication (digital signatures), web surfing, e-mails, instant messaging, protecting data at rest, Voice over Internet Protocol (VoIP) telephony, and cellular telephony.To protect patient identification and healthcare information, cryptographic systems are widely used to secure these data from malicious third parties (adversaries).In our healthcare systems, we have had reasonable success in the efficient storage of the information of our patients and their families, in its timely retrieval, and in ensuring its safety from adversaries.However, the data are increasing rapidly and our current computational systems could be inadequate in the not-sodistant future.In this context, there is a need for novel solutions.One possibility can be seen in quantum computing (QC) algorithms/devices that can provide elegant solutions based on subatomic interactions.In this review, we have summarized current information on the need, current options, and future possibilities for the use of QC algorithms/devices in large data systems such as healthcare.This article combines peerreviewed evidence from our own clinical studies with the results of an extensive literature search in the databases PubMed, EMBASE, and Scopus.
Healthcare systems widely use information technology (IT) for system authentication (digital signatures), web surfing, e-mails, instant messaging, protecting data at rest, Voice over Internet Protocol (VoIP) telephony, and cellular telephony.To protect patient identification and healthcare information, cryptographic systems are widely used to secure these data from malicious third parties (adversaries).In our healthcare systems, we have had reasonable success in the efficient storage of the information of our patients and their families, in its timely retrieval, and in ensuring its safety from adversaries.However, the data are increasing rapidly and our current computational systems could be inadequate in the not-sodistant future.In this context, there is a need for novel solutions.One possibility can be seen in quantum computing (QC) algorithms/devices that can provide elegant solutions based on subatomic interactions.In this review, we have summarized current information on the need, current options, and future possibilities for the use of QC algorithms/devices in large data systems such as healthcare.This article combines peerreviewed evidence from our own clinical studies with the results of an extensive literature search in the databases PubMed, EMBASE, and Scopus.
Medical care system broadly use Information technology (IT) for framework confirmation (advanced marks), web surfing, messages, texting, safeguarding information very still, Voice over Web Convention (VoIP) communication, and cell communication. To safeguard patient ID and medical care data, cryptographic frameworks are broadly used to get these information from malignant outsiders (fraud). In present healthcare system, we noticed sensible progress in productive stockpiling of the data of patients and their family, in its opportune recovery, and guaranteeing its wellbeing from enemies. Be that as it may, the information are expanding quickly and the ongoing computational frameworks could lack in the near future. Quantum computing examination could prompt “quantum jumps,” and it could have unexpected repercussions in the clinical field. This method can possibly be utilized in an expansive scope of settings, where some incorporate the improvement for novel medications, the personalization of clinical medicines, and increased efficiency of DNA sequencing. This Research paper will enlighten us on how Q.C is changing things all over Healthcare Industry and help understand why it's important to go for Q.C rather than Current Technology.
The rapid advancement of quantum computing poses a significant threat to current cryptographic standards, particularly those securing electronic health records (EHRs) in healthcare systems.Traditional encryption methods such as RSA, ECC, and AES, while robust against classical attacks, are vulnerable to quantum algorithms like Shor's and Grover's, which can efficiently break cryptographic keys and compromise patient data integrity.As healthcare systems become increasingly interconnected through the Internet of Things (IoT) and cloud-based infrastructures, the need for quantum-resistant security mechanisms becomes paramount.Post-Quantum Cryptography (PQC) emerges as a viable solution to future-proof EHR security by employing lattice-based, hash-based, code-based, and multivariate polynomial cryptographic techniques that remain resistant to quantum attacks.This paper explores the implications of quantum computing on healthcare cybersecurity, emphasizing the vulnerabilities of existing encryption protocols and the necessity of transitioning toward PQC frameworks.Furthermore, we examine the integration of PQC within healthcare infrastructures, focusing on key exchange mechanisms, digital signatures, and end-to-end encryption for secure EHR transactions.Additionally, the study highlights regulatory and compliance considerations, including the National Institute of Standards and Technology (NIST) PQC standardization efforts and the role of Zero Trust security models in mitigating quantum-era cyber risks.Case studies illustrate successful implementations of PQC in healthcare networks, demonstrating its feasibility and effectiveness in safeguarding sensitive medical information.By adopting quantum-resistant cryptographic standards, healthcare institutions can proactively defend against emerging cyber threats, ensuring data confidentiality, integrity, and long-term resilience in the face of quantum computing advancements.
Quantum computers are capable of solving problems that classical computers cannot, particularly in the realm of cryptographic algorithms such as RSA, DSA, and ECC. Post quantum cryptography refers classical cryptographic algorithm that are designed to secure sensitive data. This research explores the application of post-quantum cryptographic techniques in healthcare systems, with a specific focus on integrating Quantum Key Distribution (QKD) with Genetic Algorithms (GA) for enhanced key optimization. As quantum computing advances, traditional cryptographic systems employed in health care are more and more vulnerable to being broken. Security of sensitive patient information—like electronic health records (EHRs), diagnostic data, and personally identifiable information— requires strong solutions that can handle future quantum attacks. Post-quantum cryptography (PQC) provides a hopeful way forward by employing quantum computer-resistant algorithms. This paper investigates the deployment of PQC methods—e.g., lattice-based, hash-based, and multivariate polynomial cryptography—inside healthcare systems to improve data confidentiality, integrity, and availability. It assesses the weaknesses of present encryption technologies and introduces PQC as a necessary update to protect patient information from sophisticated cyberattacks. The study also addresses the interoperability, computational overhead, and infrastructure readiness challenges of implementing PQC in healthcare. By implementing quantum-resilient cryptographic protocols, healthcare facilities are able to future-proof data protection practices and guarantee the safeguarding of patient data in an era governed by quantum computing.
The increasing digitalization of the healthcare system, driven by electronic health records, medical IoT devices, and AI-aided diagnostics, has significantly expanded the attack surface for cyber threats. Although current cryptographic protocols provide sufficient security against classical adversaries, new developments in quantum computing threaten the confidentiality, integrity, and availability of medical information as never before. Shor’s algorithm could break widely used asymmetric encryption systems, and Grover’s algorithm weakens symmetric ones, which could render modern healthcare security systems obsolete. This review provides an in-depth and organized analysis of the evolving quantum threat environment in healthcare ecosystems and of the need to move toward quantum-resilient security architectures. It synthesizes the existing literature on post-quantum cryptography (PQC) and identifies lattice-based, hash-based, multivariate, and code-based algorithms as potentially viable long-term replacements. Moreover, it examines the cybersecurity issues that quantum-enabled attacks pose to medical IoT systems, clinical decision-support systems, wearable sensors, telemedicine systems, and cloud-based health information exchanges. The review also covers hybrid quantum-classical defenses, quantum key distribution (QKD), quantum random number generation (QRNG), and blockchain-based trust systems that aim to make systems resilient to advanced persistent quantum attacks. This paper identifies key gaps and outlines future research directions for developing quantum-secure medical systems. The results highlight the importance of early adoption of PQC standards and a layered cyber defense approach to protect patient privacy, ensure regulatory compliance, and retain trust in next-generation digital medical data communication.
Cloud computing has emerged as the prevailing development in healthcare systems across the global market. These systems are creating and processing vast amounts of patient data that require a certain level of security. However, due to the introduction of quantum computation, the future of cryptographic techniques on which Cloud security relies is in danger. The following paper seeks to explore the compatibility of quantum computing and cloud security and regard to the protection of health data. It also includes a comprehensive analysis of the current risks, a discussion of already existing quantum-vulnerable points, and a strategy for creating a quantum-safe strategy for safe patient data storage in healthcare. The study under consideration also employs quantum cryptography and cloud structures to identify threats and create appropriate defence mechanisms. Some models explored and analyzed include Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC) and hybrid cryptosystems. A simulated hospital database has brought about the fragility of some of these algorithms, a research work dubbed as quantum resilience, in order to explain how it is possible to integrate these two concepts without removing the aspects of the cloud that make it appealing to many people, including scalability and accessibility. This indicates that there has been a major enhancement in standing against quantum attacks, specifically showing the way towards effective, sustainable and protected healthcare information systems.
The healthcare sector increasingly relies on Cyber-Physical Systems (CPS) that integrate medical devices, networks, and digital records to deliver critical patient care. Protecting sensitive medical data within these interconnected systems is vital due to potential privacy violations and safety risks. The initiation of quantum computing poses substantial threats to traditional cryptographic algorithms, which underpin current healthcare data security. This article examines the deployment of quantum-safe cryptographic algorithms considered to resist quantum attacks, enabling robust protection of healthcare CPS. It highlights advanced encryption methods including lattice-based, hash-based, and code-based post-quantum schemes, alongside quantum key distribution (QKD) for secure key management. The discussion includes challenges related to healthcare-specific system constraints, regulatory compliance, and integration complexity. Through adopting quantum-resistant cryptography and comprehensive key management protocols, healthcare organizations can safeguard electronic health records (EHRs), device communication, and patient data against incipient post-quantum threats, ensuring long-term data confidentiality, integrity, and system resilience.