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Decentralized, secure and privacy-preserving sharing of health data: A survey and future directions

Identification

Clé publique

doi:10.1016/j.array.2026.101388

Auteurs

Noshaba Naeem · Mohsen Toorani

Année déclarée

2026

Langue déclarée

en

Type source

article

Première détection

2026-11-09T19:04:47.706759+00:00

Dernière observation des métadonnées

2026-11-09T19:04:47.706759+00:00

Dernière vérification HTTP

Non effectuée

Institutions déclarées par la source

University of South-Eastern Norway

Pays d’affiliation déclarés

NO

Résumé documentaire — langue originale

Secure and privacy-preserving sharing of health data is a critical requirement in modern and future healthcare systems. Centralized architectures often fall short due to their inherent risks, including lack of transparency and limited user control. This survey examines the ongoing shift from centralized health data platforms to decentralized, secure, and privacy-preserving health data sharing, driven by the rapid growth of electronic health records (EHRs) and the Internet of Medical Things (IoMT) ecosystems. We categorize the state-of-the-art approaches into frameworks for data sharing, auditability, and access control; frameworks for privacy-preserving analytics and learning; and frameworks for decentralized identity, consent, and credential management. For each category, we analyze representative systems in depth, outlining their architecture, security mechanisms, and their limitations. We analyze how enabling technologies, such as distributed ledgers, smart contracts, decentralized storage, Privacy-Enhancing Technologies (PETs), and privacy-preserving analytics and learning mechanisms, can be combined to achieve confidentiality and integrity without centralizing raw patient data. Beyond comparing representative systems, the survey identifies key adoption barriers, including computational and communication overhead, interoperability with legacy infrastructures, usability, key management, governance and trust bootstrapping, and regulation-aligned consent and revocation. The paper concludes by identifying open research gaps and outlining actionable future directions for developing deployable decentralized health-data ecosystems.

Identifiants

OPENALEX

W7204189738

DOI

10.1016/j.array.2026.101388

Repères documentaires

Famille documentaire

Doctrine

Types déclarés par les sources

article

Entités naturelles mentionnées

Écosystème

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Sources

OpenAlex · Document 1 · Document 2

• DOI · https://doi.org/10.1016/j.array.2026.101388
• OpenAlex · https://openalex.org/W7204189738

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