SSI-MedRx: A fraud-resilient healthcare system based on blockchain and SSI

Today, healthcare fraud poses a significant issue, encompassing everything from falsified billing claims and phantom services to the excessive prescription of opioid medications and medical identity theft. These deceptive activities cause substantial financial losses, erode patient trust, compromise healthcare quality, and threaten patient safety. In this paper, we introduce SSI-MedRx, a healthcare system based on blockchain technology and Self-Sovereign Identity (SSI), designed to ensure cross-border interoperability, preserve patient privacy, and prevent challenging healthcare frauds, including medical identity theft, phantom billing, kickbacks, and opioid overprescribing. By design, our system empowers patients by granting them complete control over their personal and health data. This shift toward patient-centric data management can potentially reduce the risk of data breaches, improve care coordination, and improve overall healthcare outcomes. • We provide an overview of current healthcare systems and their threat models. • We offer guidelines and requirements for designing a borderless, fraud-resilient, and privacy-preserving healthcare system. • We propose a novel healthcare system based on blockchain and self-sovereign identity resilient to healthcare fraud. • We implement a Proof of Concept (PoC) to highlight the advantages of the proposed system compared to existing healthcare systems in the literature and suggest a few future directions.

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Publication Details

Journal
Blockchain Research and Applications
Published
2024-12-13
DOI
https://doi.org/10.1016/j.bcra.2024.100242
Citations
8
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
6.23
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article

SSI-MedRx: A fraud-resilient healthcare system based on blockchain and SSI

Enrico Russo, Mauro Migliardi, Djamel Khadraoui, Alessio Merlo et al.
8 citations
Blockchain Research and Applications
Blockchain Technology Applications and Security
6.23
article

SSI-MedRx: A fraud-resilient healthcare system based on blockchain and SSI

Enrico Russo, Mauro Migliardi, Djamel Khadraoui, Alessio Merlo, Meriem Guerar
article en
8 citations

Abstract

Today, healthcare fraud poses a significant issue, encompassing everything from falsified billing claims and phantom services to the excessive prescription of opioid medications and medical identity theft. These deceptive activities cause substantial financial losses, erode patient trust, compromise healthcare quality, and threaten patient safety. In this paper, we introduce SSI-MedRx, a healthcare system based on blockchain technology and Self-Sovereign Identity (SSI), designed to ensure cross-border interoperability, preserve patient privacy, and prevent challenging healthcare frauds, including medical identity theft, phantom billing, kickbacks, and opioid overprescribing. By design, our system empowers patients by granting them complete control over their personal and health data. This shift toward patient-centric data management can potentially reduce the risk of data breaches, improve care coordination, and improve overall healthcare outcomes. • We provide an overview of current healthcare systems and their threat models. • We offer guidelines and requirements for designing a borderless, fraud-resilient, and privacy-preserving healthcare system. • We propose a novel healthcare system based on blockchain and self-sovereign identity resilient to healthcare fraud. • We implement a Proof of Concept (PoC) to highlight the advantages of the proposed system compared to existing healthcare systems in the literature and suggest a few future directions.

Blockchain Research and ApplicationsVol. 6(1)
University of Padua (IT), Luxembourg Institute of Science and Technology (LU), University of Genoa (IT)
Openalex Percentile: Top 3%
Blockchain Technology Applications and Security
6.23
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SSI-MedRx: A fraud-resilient healthcare system based on blockchain and SSI — Enrico Russo, Mauro Migliardi, et al. · Blockchain Research and Applications (2024) | TGRS Research Map | TGRS