EUVIMEDEuropean Health Evidence
Uhr Sources10/10 Journal Tree
Easy Demo

European Health Evidence

The European alternative to PubMed

EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

EuropeanMultilingualInteroperableTraceable

EUVIMED BETA

EUVIMED is currently in beta

EUVIMED is under continuous development. Features, data coverage and presentation may change or be temporarily incomplete.

Results are beta

Search results, classifications, summaries and AI-assisted assessments may be incomplete, delayed or incorrect.

Check original sources

Do not use EUVIMED results without verification for diagnosis, treatment or other clinical decisions. Always consult the original source and applicable guidelines.

Errors and feedback help us improve EUVIMED: info@euvimed.com

Lokaler Crossref-Datenbestand · journal-article

A DeSci-Driven Blockchain Framework for AI-Augmented Healthcare Research

Garima Singh, Mohd Haroon, Nudrat Fatima, Afsaruddin Afsaruddin, PhD, Tameem Ahmad, Mohammad Husain, Mahfuzul Huda

Blockchain in Healthcare Today · 2026

Vollständiger Abstract

Worum geht es in dieser Arbeit?

Background: The accelerated digital revolution in healthcare has greatly enhanced data management with electronic health records. Nonetheless, challenging issues of centralized control, privacy breaches, absence of patient ownership of their data, and inability to support decentralized scientific collaboration remain barriers to scalable healthcare research ecosystems. Recent developments in decentralized science (DeSci) create a paradigm shift, using blockchain, cryptographic primitives, and decentralized governance to facilitate transparent, trust-minimized, and collaborative biomedical research. This article provides a DeSci-friendly lightweight blockchain architecture that is used to support privacy-preserving and incentive-sensitive decentralized healthcare research infrastructure. Methods: The framework combines a permissioned blockchain with a lightweight hybrid consensus protocol, off-chain storage, and zero-knowledge proof-based authentication to permit secure and privacy-preserving access to data without revealing identity. Also, a tokenomics-based governance layer is proposed to support decentralized engagement, transparent policy implementation, and incentive-based research participation. The suggested system is tested in simulation with the following different network conditions and the key performance metrics such as latency, throughput, and computational cost. Results: Experiments prove that the suggested framework offers the following advantages: lower latency greater throughput enhanced computational efficiency when compared to the current blockchain-based healthcare systems such as medical records, Fast Healthcare Interoperability Resources, and HealthChain. In addition, the framework goes past traditional data management by allowing a DeSci-oriented research life cycle, such as decentralized data contribution, validation, and provenance tracking. Conclusions: The proposed framework will help build scalable, secure, and patient-centered decentralized healthcare research ecosystems. Furthermore, the framework bridges the gap between blockchain-based healthcare systems and DeSci-driven research ecosystems.

Bibliografischer Nachweis

Publikationsdaten

Autor:innen
Garima Singh, Mohd Haroon, Nudrat Fatima, Afsaruddin Afsaruddin, PhD, Tameem Ahmad, Mohammad Husain, Mahfuzul Huda
Quelle
Blockchain in Healthcare Today
Publikation
2026-01-01
Band / Ausgabe
Nicht angegeben
Seiten
Nicht angegeben
ISSN / ISBN
2573-8240
Zitationen
0 laut Crossref
Referenzen
0 hinterlegt

Zitieren

Zitierfähiger Nachweis

Garima Singh, Mohd Haroon, Nudrat Fatima, Afsaruddin Afsaruddin, PhD, Tameem Ahmad, Mohammad Husain, Mahfuzul Huda (2026). A DeSci-Driven Blockchain Framework for AI-Augmented Healthcare Research. Blockchain in Healthcare Today. https://doi.org/10.30953/bhty.v9.507
RIS BibTeX CSL-JSON

Kontext

Themen, Förderung und Nutzung

Lizenzhinweise: Lizenz 1