Blockchain in healthcare today最新文献

{"title":"Use of Blockchain Technology to Accelerate Digital Health Transformation Programs.","authors":"Regien Sumo, Simcha Jong","doi":"10.30953/bhty.v8.399","DOIUrl":"10.30953/bhty.v8.399","url":null,"abstract":"<p><p>Disruptive digital health technologies are reshaping how patients interact with health professionals, how data are shared among providers, and how treatment plans and health outcomes are determined. While the COVID-19 pandemic has accelerated the adoption of digital technologies, challenges remain in realizing the potential of digital transformation programs in healthcare. Specifically, health data need to remain secure, usable, and shareable across multiple stakeholder groups in a world where silos between organizations and information systems persist. The implementation of innovative and disruptive digital technologies such as blockchain can offer a solution to these challenges. This article explores how blockchain technology can be used to accelerate digital health transformation programs. It provides an overview of the technology applications (i.e. data management, Internet of Medical Things [IoMT], supply chain management, and health insurance) and key players based on a literature review and secondary data. It also identifies challenges and success factors in implementing blockchain in healthcare. At the organizational level, we discuss the careful planning and specialized expertise required to overcome the technical, regulatory, and adoption-related hurdles associated with implementing blockchain technology. At the system level, the authors discuss the regulatory constraints, standardization and interoperability issues, and stakeholder engagement challenges linked to implementing blockchain technology.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860444/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating AI with Integrity at <i>Blockchain in Healthcare Today</i>: Introducing BHTY's AI Policy for Authors, Reviewers, and Editors.","authors":"Jennifer Hinkel, Umit Cali","doi":"10.30953/bhty.v8.440","DOIUrl":"https://doi.org/10.30953/bhty.v8.440","url":null,"abstract":"","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860434/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Self-Sovereign Patient as a Cornerstone of Healthcare 4.0.","authors":"Tomer Jordi Chaffer, Joe Littlejohn, Arun Nadarasa, Claudia Lamschtein","doi":"10.30953/bhty.v7.414","DOIUrl":"10.30953/bhty.v7.414","url":null,"abstract":"<p><p>In Healthcare 4.0, we are witnessing a fundamental shift from provider-centric systems to patient-centric models, where individuals, empowered by technologies such as blockchain, the Internet of Medical Things, and artificial intelligence (AI), assume the role of the Self-Sovereign Patient, exercising control over their health data and care journey. These technologies enable new forms of data ownership, interoperability, and personalized care, building on the structured reliability of legacy systems. However, significant challenges remain. Tensions between blockchain immutability and regulatory rights such as data erasure, the unresolved question of digital inheritance, and ethical concerns surrounding consent, monetization, and health equity must all be addressed. In addition, institutional barriers such as clinical integration, data governance, and uneven access to digital infrastructure pose risks of deepening existing disparities. AI agents, when responsibly deployed, offer promising pathways to augment care delivery and alleviate workforce burdens. Realizing this vision requires coordinated action across clinical, technical, legal, and ethical domains to design trustworthy, privacy-preserving systems that enhance transparency and accountability.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860432/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blockchain Applications in Core Healthcare Services: Patient Data, Research, and Institutional Processes.","authors":"Muhammet Damar, Omer Aydin, Fatih Safa Erenay","doi":"10.30953/bhty.v8.408","DOIUrl":"10.30953/bhty.v8.408","url":null,"abstract":"<p><strong>Objective: </strong>This research aims to systematically examine the application of blockchain technology in core primary healthcare services, with a particular focus on its ability to enhance data integrity, transparency, and operational efficiency. The objective is to identify and analyze the primary areas where blockchain is being utilized within the health sciences and to evaluate its contributions to secure patient consent, reliable data verification, and the protection of sensitive health information.</p><p><strong>Methods: </strong>This study conducted a systematic literature review of research and review articles indexed in the Web of Science Core Collection between January 10 and March 15, 2025. Articles were selected based on predefined search strings targeting blockchain applications in health sciences, as detailed in the search strategy (Figure 1). Bibliometric analysis was performed using VOSviewer and the Biblioshiny interface of R Bibliometrix to identify thematic areas, keyword co-occurrences, and research trends. Overlay and network visualizations were used to reveal temporal patterns and relational structures among keywords. To enhance the scope of the review, supplementary searches were also conducted via Google Scholar, providing additional insight into emerging topics not yet indexed in Web of Science.</p><p><strong>Results: </strong>The analysis revealed eight major thematic areas where blockchain is prominently applied: secure patient consent and data management, healthcare supply chain processes, clinical research and monitoring, legal and intellectual property concerns, disease tracking and epidemiological management including COVID-19, insurance and billing systems, organ transplantation logistics, and applications in cancer and pharmaceutical research. The data demonstrate an increasing focus on blockchain's role in enhancing transparency and accountability in both institutional and patient-centered healthcare services.</p><p><strong>Conclusions: </strong>Blockchain holds considerable promise for advancing healthcare systems. However, its effective implementation depends on a comprehensive approach that combines technological innovation with supportive policy frameworks and ethical considerations. These findings provide valuable guidance for stakeholders seeking to integrate blockchain in health service delivery.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13005296/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of COVID-19 on Primary Healthcare Research: Trends and Suggestions for Better Services Approaches Via Blockchain Based Applications.","authors":"Muhammet Damar, Andrew David Pinto, Fatih Safa Erenay, Omer Aydin","doi":"10.30953/bhty.v8.400","DOIUrl":"10.30953/bhty.v8.400","url":null,"abstract":"<p><strong>Objective: </strong>The authors assessed how research in primary healthcare was affected by the COVID-19 pandemic and identified the potential of blockchain technology to address pandemic-related challenges.</p><p><strong>Methods: </strong>This quantitative bibliometric research study used machine learning techniques. A comprehensive analysis of all primary healthcare (PHC) research was conducted using bibliometric data from the WOs. We examined co-authorship, co-occurrences, citation and co-citation, thematic mapping, factorial, document, and Latent Dirichlet Allocationtopic analyses. Our main dataset was 1,885 articles produced by 9,185 researchers from 3,132 institutions in 113 countries.</p><p><strong>Results: </strong>The most cited studies in the PHC field during the pandemic related to telemedicine and remote consultation, along with clinical conditions such as mental health, diabetes, vaccinations, risks during pregnancy, and healthcare of the elderly. In addition, the impact of COVID-19 on educational outcomes, changes to the organization of care, experiences and challenges to PHC physicians and other health professionals, and the diversity of COVID-19 symptoms were prominent.</p><p><strong>Conclusions: </strong>The PHC researchers adapted quickly to the pandemic and conducted multidisciplinary research that helped to mitigate the impact on individuals, health systems, and society. Within this context, blockchain technology can be used to facilitate the security of health data, resource management (e.g., monitoring of the vaccine supply chain), and global collaboration toward pandemic control. By providing transparency, security, and efficiency in these areas, blockchain technology might lead to more effective pandemic preparedness and management in the future.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of Commercial Success in Blockchain Healthcare Insurance: A Mixed-Methods Analysis.","authors":"Raaga Likhitha Musunuri, Kimberly S Brooks, Swapna Ashish Patel, Trupti Jayesh Majgunkar, Krisha Patel, Erin O'Neill","doi":"10.30953/bhty.v8.401","DOIUrl":"10.30953/bhty.v8.401","url":null,"abstract":"<p><strong>Background: </strong>Blockchain healthcare insurance offers substantial potential for improving data transparency, efficiency, and security. However, many blockchain healthcare projects struggle to scale up and achieve commercial success. Despite technical feasibility studies, limited research exists on the commercial success of these projects. This study explores the technical, regulatory, and strategic factors that contribute to market success in blockchain healthcare insurance initiatives.</p><p><strong>Methods: </strong>Using exploratory mixed methods, we combined quantitative market data analysis from CoinGecko Application Programming Interface (API) with manual metadata curation from publicly available data. We conducted descriptive statistics, Pearson correlation, and multiple regression analysis to evaluate relationships between key variables and market success.</p><p><strong>Results: </strong>The Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliance emerged as a significant predictor of higher market cap (β = +12.6, <i>p</i> = 0.006), while insurance partnerships negatively impacted success due to early-stage complexity (β = -15.3, <i>p</i> = 0.009). The model explains 95.7% of market cap variance (adjusted <i>R</i>² = 0.957).</p><p><strong>Findings: </strong>These findings demonstrate how crucial technical preparedness and regulatory alignment are to the successful commercialization of blockchain-based health insurance. The importance of organizational scale is highlighted by a moderate association (<i>r</i> = 0.83) between team size and market success. The importance of strategic alliances and regulatory compliance is further shown by the theme analysis of white papers. Investors should concentrate on projects with well-defined regulatory policies, while entrepreneurs should give HIPAA compliance top priority early on. It is recommended that policymakers create more precise regulatory frameworks for blockchain in the medical field. For more thorough insights, future studies should increase the sample size.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860438/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare.","authors":"Muthu Ramachandran, Steven Fouracre","doi":"10.30953/bhty.v8.396","DOIUrl":"10.30953/bhty.v8.396","url":null,"abstract":"<p><p>In the context of Code Generation AI (Code Gen AI), \"rich\" and \"quality\" data refer to datasets that are not only syntactically and structurally sound but also context-aware, domain-specific, and semantically aligned with the target application. Unlike large-scale, general-purpose code corpora scraped from open repositories, rich datasets are curated to reflect regulatory requirements, architectural patterns, and problem-solving conventions within a given field. This distinction is critically important when deploying Code Gen AI in the healthcare sector, where software must meet rigorous standards for safety, auditability, and compliance. Blindly scaling models with low-quality or irrelevant data may lead to brittle, error-prone systems-posing risks not only to patients and providers but also to the integrity of digital healthcare infrastructure. This issue has not been fully addressed in the Code Gen AI research to date. This article evaluates the critical trade-offs between \"rich data\" and \"data quantity\" strategies in Code Gen AI and autonomous code agents, focusing on high-integrity sectors such as healthcare. While Code Gen AI can enhance productivity by up to 55% in controlled environments, models trained on unfiltered, large-scale datasets often increase code duplication, churn, and error rates. The central challenge is balancing performance gains with reliability, maintainability, and ethical accountability. In healthcare, codebases must embody accuracy, traceability, and data privacy-attributes often diluted in large but uncurated training sets. Using Self-Evolving Software as a case study, this article contrasts the outcomes of both approaches and introduces a weighted data selection matrix tailored to Code Gen AI systems. The findings demonstrate that rich, curated, domain-specific datasets consistently produce more robust, compliant, and sustainable code, especially in sectors where quality and governance are non-negotiable.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860436/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Evolution of Healthcare Economics: Blockchain Integration Amidst Medicare Reform.","authors":"Ryan M Wright","doi":"10.30953/bhty.v8.383","DOIUrl":"10.30953/bhty.v8.383","url":null,"abstract":"","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution.","authors":"Don Roosan, Rubayat Khan, Saif Nirzhor, Fahmida Hai","doi":"10.30953/bhty.v8.379","DOIUrl":"10.30953/bhty.v8.379","url":null,"abstract":"<p><strong>Objective: </strong>The authors propose and evaluate a novel cybersecurity architecture for telehealth that is resilient against future quantum computing cyber threats. By integrating post-quantum cryptography (PQC) with quantum key distribution (QKD) and privacy-preserving mechanisms, data confidentiality and immutability for patient records in a post-quantum era are ensured.</p><p><strong>Methods: </strong>A multi-layered design approach was adopted. The PQC algorithms (e.g. CRYSTALS-Dilithium) were integrated at the blockchain consensus layer to resist quantum attacks. A directed acyclic graph (DAG)-based ledger managed high transaction throughput and latency constraints typical of telehealth. A QKD-enhanced key management protocol leveraged quantum channels for secure exchanges. Zero-knowledge proofs (ZKPs) and secure multiparty computation (MPC) verified transactions without exposing sensitive patient data. A granular access control model used attribute-based encryption and smart contracts to govern which participants could view or modify encrypted medical records.</p><p><strong>Results: </strong>The prototype was developed within a simulated telehealth network comprising hospitals, clinics, and patient devices. The PQC signatures at the consensus layer provided effective resistance to both classical and anticipated quantum attacks. The QKD facilitated secure key distribution, while ZKPs and MPC enabled validation of healthcare transactions without compromising patient privacy. Despite increased computational overhead, the DAG approach efficiently handled parallel transactions, indicating improved scalability compared to traditional linear blockchains.</p><p><strong>Conclusion: </strong>A QKD-enhanced, PQC-driven framework successfully addresses critical security and privacy requirements, safeguarding medical data from emerging quantum threats. Although overhead and infrastructural costs are significant, sustained cryptographic resilience and robust patient confidentiality underscore its suitability for next-generation healthcare systems. Future studies should explore additional optimizations, homomorphic encryption, and larger-scale pilots under regulatory standards.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860431/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Secure and Reliable Fog-Enabled Architecture Using Blockchain With Functional Biased Elliptic Curve Cryptography Algorithm for Healthcare Services.","authors":"Charu Awasthi, Satya Prakash Awasthi, Prashant Kumar Mishra","doi":"10.30953/bhty.v7.347","DOIUrl":"10.30953/bhty.v7.347","url":null,"abstract":"<p><p>Fog computing (FC) is an emerging technology that extends the capability and efficiency of cloud computing networks by acting as a bridge among the cloud and the device. Fog devices can process an enormous volume of information locally, are transportable, and can be deployed on a variety of systems. Because of its real-time processing and event reactions, it is ideal for healthcare. With such a wide range of characteristics, new security and privacy concerns arise. Due to the safe transmission, arrival, and access, as well as the availability of medical devices, security creates new issues in the area of healthcare. As an outcome, FC necessitates a unique approach to security and privacy metrics, as opposed to standard cloud computing methods. Hence, this article suggests an effective blockchain depending on secure healthcare services in FC. Here, the fog nodes gather the information from the medical sensor device and the data are validated using smart contracts in the blockchain network. We propose a functional biased elliptic curve cryptography algorithm to encrypt the data. The optimization is performed using the galactic bee colony optimization algorithm to enhance the procedure of encryption. The performance of the suggested methodology is assessed and contrasted with the traditional techniques. It is proved that the combination of FC with blockchain has increased the security of data transmission in healthcare services.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"7 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11848839/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}