IoMT and Blockchain Synergy: A Novel Approach to Health Data Validation and Storage

The increasing adoption of Internet of Medical Things (IoMT) devices is revolutionizing healthcare, facilitating enhanced remote patient monitoring and data-driven clinical decision-making. However, a significant challenge remains: the fragmentation of sensitive medical data across diverse healthcare infrastructures. This separation of medical data seriously hinders seamless data exchange and interoperability, preventing healthcare providers from obtaining a comprehensive understanding of patient health and limiting the scope of data-driven research for improved treatments. To address this critical issue, we have developed a novel blockchain-based framework carefully designed to unify separate IoMT data sources within a secure platform. This framework aims to enhance data accessibility, ensure robust data security and patient privacy, and significantly improve the depth of clinical understanding, ultimately leading to enhanced patient care. Our system employs Hyperledger Fabric, a permissioned blockchain architecture, selected for its security, scalability, and suitability for handling sensitive healthcare data. We further integrate edge computing principles to optimize data processing efficiency and reduce network latency, establishing a decentralized architecture that prioritizes data integrity and confidentiality. This innovative approach to IoMT data integration aims to enable secure, real-time data sharing and improve interoperability across diverse healthcare ecosystems. By facilitating seamless data flow and establishing a trustworthy and auditable data infrastructure, our framework supports enhanced clinical decision-making in crucial areas such as remote patient monitoring, chronic disease management, and preventative care. Rigorous performance evaluations demonstrate the potential of our framework to transform healthcare workflows, improve operational efficiency, and maximize the utility of IoMT data for improved healthcare delivery and patient-centric models of care. This research represents a significant step toward realizing more interconnected, secure, and efficient healthcare systems for the future.

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Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3555289
Citations
6
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
19.48

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article

IoMT and Blockchain Synergy: A Novel Approach to Health Data Validation and Storage

Sikandar Ali, Hee‐Cheol Kim, Moon-Il Joo, Abbas Syed Muhammad Ali et al.
6 citations
IEEE Access
Blockchain Technology Applications and Security
19.48
article

IoMT and Blockchain Synergy: A Novel Approach to Health Data Validation and Storage

Sikandar Ali, Hee‐Cheol Kim, Moon-Il Joo, Abbas Syed Muhammad Ali, Khan Ziaullah
article en
6 citations

Abstract

The increasing adoption of Internet of Medical Things (IoMT) devices is revolutionizing healthcare, facilitating enhanced remote patient monitoring and data-driven clinical decision-making. However, a significant challenge remains: the fragmentation of sensitive medical data across diverse healthcare infrastructures. This separation of medical data seriously hinders seamless data exchange and interoperability, preventing healthcare providers from obtaining a comprehensive understanding of patient health and limiting the scope of data-driven research for improved treatments. To address this critical issue, we have developed a novel blockchain-based framework carefully designed to unify separate IoMT data sources within a secure platform. This framework aims to enhance data accessibility, ensure robust data security and patient privacy, and significantly improve the depth of clinical understanding, ultimately leading to enhanced patient care. Our system employs Hyperledger Fabric, a permissioned blockchain architecture, selected for its security, scalability, and suitability for handling sensitive healthcare data. We further integrate edge computing principles to optimize data processing efficiency and reduce network latency, establishing a decentralized architecture that prioritizes data integrity and confidentiality. This innovative approach to IoMT data integration aims to enable secure, real-time data sharing and improve interoperability across diverse healthcare ecosystems. By facilitating seamless data flow and establishing a trustworthy and auditable data infrastructure, our framework supports enhanced clinical decision-making in crucial areas such as remote patient monitoring, chronic disease management, and preventative care. Rigorous performance evaluations demonstrate the potential of our framework to transform healthcare workflows, improve operational efficiency, and maximize the utility of IoMT data for improved healthcare delivery and patient-centric models of care. This research represents a significant step toward realizing more interconnected, secure, and efficient healthcare systems for the future.

IEEE AccessVol. 13
Inje University (KR)
Ministry of Science and ICT, South Korea
Openalex Percentile: Top 1%
Blockchain Technology Applications and Security
19.48
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