e.g. mhealth
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Skip search results from other journals and go to results- 51 Journal of Medical Internet Research
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Smart Contracts and Shared Platforms in Sustainable Health Care: Systematic Review
This affirmation is essential when technologies—including blockchain and SCs—are introduced in fields such as health care [11].
A blockchain is a distributed ledger [14] formed by chronologically ordered blocks [15,16]. It consists of multiple nodes connected peer to peer [15] and without a hierarchy among them [15]. Each block has an identification linked to the previous one via a reference or hash [14,15].
JMIR Med Inform 2025;13:e58575
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On the other hand, FHIRChain incorporates the HL7 FHIR (Health Level Seven Fast Health care Interoperability Resources) standard for clinical data and explores the possibilities of blockchain-based data sharing. The challenges posed by permissionless blockchain technology and the associated privacy concerns are acknowledged, highlighting the necessity for a permissioned blockchain approach to ensure enhanced security and user management.
JMIR Form Res 2024;8:e65626
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Before adding a block to the blockchain, a consensus is reached among peers. In addition, blockchain can execute smart contracts [11].
Blockchain has demonstrated its potential in various domains, including the health care system [12,13]. In particular, smart contracts in a blockchain were introduced as self-executing agents based on the transactions being executed [14].
J Med Internet Res 2024;26:e50730
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According to the draft on Blockchain Technology Overview by the National Institute of Standards and Technology (NIST), blockchain is an immutable digital ledger system implemented in a distributed fashion (ie, without a central repository) and usually without a central authority. There are 2 major forms of blockchain-based systems: public blockchain and private blockchain [31].
J Med Internet Res 2024;26:e46556
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The distribution component and blockchain network collaborate on intermediate reasoning results without exposing original data for privacy concerns. Subsequently, fragmented patient information from multiple hospitals is used to generate comprehensive CDS with complete clinical evidence.
J Med Internet Res 2024;26:e54263
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Decentralizing Health Care: History and Opportunities of Web3
Web3 is also referred to as the decentralized web, or the blockchain web, and represents the next stage of the internet wherein data are stored on decentralized networks of computers rather than by individual, centralized entities. Web3 aims to create a more secure, transparent, and user-owned paradigm built on blockchain technology and peer-to-peer networks which enable users to securely interact with one another without the need for intermediaries.
JMIR Form Res 2024;8:e52740
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Last, blockchain technologies are currently used to automate downstream researcher access to data based on individuals’ preferences without the burden and expense of manual curation [9].
While promising, dynamic consent based on blockchain technology is a relatively new concept, and it is unclear how well it functions in real-world health research environments.
JMIR Res Protoc 2024;13:e50339
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To fill these gaps, this study aims to detect the bias in health care data, improve the fairness of predictive models using FL, and enhance trust and fairness through blockchain-assisted FL. We propose a blockchain-empowered, decentralized FL platform that improves fairness in predictive models in the health care domain while preserving privacy. We adopted a blockchain platform to establish ML models with the existing data on its off-chain storage.
J Med Internet Res 2023;25:e46547
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Fortifying Health Care Intellectual Property Transactions With Blockchain
The shared governance of blockchain enhances transaction security by reducing the potential for manipulation and opportunism. Furthermore, the immutable feature of the blockchain (in a permissionless blockchain, not a private blockchain) makes it difficult for miners to tamper with trading records, reducing transaction costs and enabling monitoring mechanisms to detect stakeholders’ opportunistic behaviors [58].
J Med Internet Res 2023;25:e44578
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The systematic review based on this protocol aims to, first, compare the performance among health data models developed or validated using decentralized learning approaches (eg, federated and blockchain) to those developed using nondecentralized methods (eg, centralized and local). These can include applications such as automated diagnosis, segmentation of lesions or features, as well as mortality prediction.
JMIR Res Protoc 2023;12:e45823
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