A blockchain-based protocol for tracking user access to shared medical imaging

Aguiar, Erikson Júlio de; Santos, Alyson J. dos; Meneguette, Rodolfo I.; Grande, Robson E. De; Ueyama, Jó

doi:10.1016/j.future.2022.04.017

Cited by 19 publications

(4 citation statements)

References 30 publications

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“…An off-chain-based framework that protects image databases and offers distributed privacy based on a peer-to-peer approach targeted the privacy issues [27].…”

Section: Related Researchmentioning

confidence: 99%

A healthcare data management system: Blockchain enabled IPFS providing algorithmic solution for increased privacy preserving scalability and interoperability

Tiwari,

Kumar

2024

Preprint

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Finding a feasible and effective approach to sharing a large volume of healthcare data has been the focus of recent studies. Several techniques evolved over the years for healthcare data management can be categorized into three distinct categories. The first category mainly focused on deploying the centralized structure utilizing the cloud-based system, however, central system failure, the privacy of the data, and interoperability remain the major concerns of this approach. Later, in the second category, these limitations were addressed by implementing a decentralized system based on blockchain technology. The increased complexity of the healthcare data and the need for the inclusion of medical imaging restricted the scalability and storage efficiency of this decentralized method. Eventually, this led to the development of an integrated approach combining techniques such as InterPlanetary File System (IPFS) with blockchain. Even with the tremendous advancements, challenges like interoperability, scalability, and privacy still exist. This paper primarily focuses on increasing the privacy and security of healthcare data sharing by combining the authentication algorithm with the Elliptic Curve Cryptography (ECC) key exchange keeping the parameters such as interoperability, scalability, and storage efficiency intact. To evaluate the efficacy of the proposed system, performance monitoring along with a novel benchmarking technique was utilized. Also, the proposed system has been compared with the existing frameworks on different parameters such as access control, cryptographic algorithms, decentralized framework, scalability, performance evaluation, benchmarking, etc. The obtained results suggest that the proposed system provides an integrated solution for efficient healthcare data management that is secured, decentralized yet interoperable and scalable.

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“…An off-chain-based framework that protects image databases and offers distributed privacy based on a peer-to-peer approach targeted the privacy issues [27].…”

Section: Related Researchmentioning

confidence: 99%

A healthcare data management system: Blockchain enabled IPFS providing algorithmic solution for increased privacy preserving scalability and interoperability

Tiwari,

Kumar

2024

Preprint

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“…They achieve lossless compression using the hybrid of Huffman coding, linear predictive coding, and discrete wavelet. Some, such as de Aguiar et al in their work [21], suggest implementing a blockchain token mechanism stored in DICOM files to track access to the shared medical data.…”

Section: Related Workmentioning

confidence: 99%

MIDOM—A DICOM-Based Medical Image Communication System

Pervan,

Tomic,

Ivandic

et al. 2023

Applied Sciences

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Despite the existing medical infrastructure being limited in terms of interoperability, the amount of medical multimedia transferred over the network and shared through various channels increases rapidly. In search of consultations with colleagues, medical professionals with the consent of their patients, usually exchange medical multimedia, mainly in the form of images, by using standard instant messaging services which utilize lossy compression algorithms. That consultation paradigm can easily lead to losses in image representation that can be misinterpreted and lead to the wrong diagnosis. This paper presents MIDOM—Medical Imaging and Diagnostics on the Move, a DICOM-based medical image communication system enhanced with a couple of variants of our previously developed custom lossless Classification and Blending Predictor Coder (CBPC) compression method. The system generally exploits the idea that end devices used by the general population and medical professionals alike are satisfactorily performant and energy-efficient, up to a point to support custom and complex compression methods successfully. The system has been implemented and appropriately integrated with Orthanc, a lightweight DICOM server, and a medical images storing PACS server. We benchmarked the system thoroughly with five real-world anonymized medical image sets in terms of compression ratios and latency reduction, aiming to simulate scenarios in which the availability of the medical services might be hardly reachable or in other ways limited. The results clearly show that our system enhanced with the compression methods in the question pays off in nearly every testing scenario by lowering the network latency to at least 60% of the latency required to send raw and uncompressed image sets and 25% in the best-case, while maintaining the perfect reconstruction of medical images and, thus, providing a more suitable environment for healthcare applications.

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“…The paper proposed by Aguiar et al [ 14 ] presents the development of a blockchain framework using Hyperledger Fabric, a private and permissioned blockchain, along with anonymization methods used to preserve privacy during health data sharing. It is characterized as a different approach than the one proposed in this paper by the choice of the blockchain network and the use of anonymization methods such as K-Anonymity.…”

Section: Related Workmentioning

confidence: 99%

An Architecture for Managing Data Privacy in Healthcare with Blockchain

Rossetto¹,

Sega²,

Leithardt

2022

Sensors

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With the fast development of blockchain technology in the latest years, its application in scenarios that require privacy, such as health area, have become encouraged and widely discussed. This paper presents an architecture to ensure the privacy of health-related data, which are stored and shared within a blockchain network in a decentralized manner, through the use of encryption with the RSA, ECC, and AES algorithms. Evaluation tests were performed to verify the impact of cryptography on the proposed architecture in terms of computational effort, memory usage, and execution time. The results demonstrate an impact mainly on the execution time and on the increase in the computational effort for sending data to the blockchain, which is justifiable considering the privacy and security provided with the architecture and encryption.

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A blockchain-based protocol for tracking user access to shared medical imaging

Cited by 19 publications

References 30 publications

A healthcare data management system: Blockchain enabled IPFS providing algorithmic solution for increased privacy preserving scalability and interoperability

A healthcare data management system: Blockchain enabled IPFS providing algorithmic solution for increased privacy preserving scalability and interoperability

MIDOM—A DICOM-Based Medical Image Communication System

An Architecture for Managing Data Privacy in Healthcare with Blockchain

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