Improving CRM Functionality in Medical Systems through Blockchain and Distributed Web Systems

The integration of blockchain technology with distributed web systems is transforming customer relationship management (CRM) in medical domains, addressing critical challenges related to data security, interoperability, and efficiency. This paper explores an innovative architecture for CRM systems tailored to healthcare, leveraging blockchain for secure data sharing and distributed web systems for scalable, real-time interaction. By decentralizing data storage and ensuring immutability through blockchain, the proposed solution enhances patient data protection and compliance with healthcare regulations such as GDPR and HIPAA. The architecture also facilitates seamless collaboration across medical institutions, enabling a unified view of patient interactions and history. Additionally, the use of distributed web systems ensures high availability, fault tolerance, and adaptability to varying workloads, crucial for medical environments with diverse user demands. Performance evaluations demonstrate significant improvements in response time, data consistency, and user satisfaction, particularly in scenarios involving multi-site medical collaborations. This approach not only strengthens the reliability and scalability of CRM platforms in healthcare but also paves the way for smarter decision-making and personalized patient care. The findings emphasize the transformative potential of blockchain and distributed web systems in enhancing CRM functionality, aligning technology with the evolving needs of the medical industry.

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Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/isas66241.2025.11101886
Citations
2
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
6.49
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article

Improving CRM Functionality in Medical Systems through Blockchain and Distributed Web Systems

Vassil Milev, Marian Ileana, Pavel Petrov
2 citations
Blockchain Technology Applications and Security
6.49
article

Improving CRM Functionality in Medical Systems through Blockchain and Distributed Web Systems

Vassil Milev, Marian Ileana, Pavel Petrov
article en
2 citations

Abstract

The integration of blockchain technology with distributed web systems is transforming customer relationship management (CRM) in medical domains, addressing critical challenges related to data security, interoperability, and efficiency. This paper explores an innovative architecture for CRM systems tailored to healthcare, leveraging blockchain for secure data sharing and distributed web systems for scalable, real-time interaction. By decentralizing data storage and ensuring immutability through blockchain, the proposed solution enhances patient data protection and compliance with healthcare regulations such as GDPR and HIPAA. The architecture also facilitates seamless collaboration across medical institutions, enabling a unified view of patient interactions and history. Additionally, the use of distributed web systems ensures high availability, fault tolerance, and adaptability to varying workloads, crucial for medical environments with diverse user demands. Performance evaluations demonstrate significant improvements in response time, data consistency, and user satisfaction, particularly in scenarios involving multi-site medical collaborations. This approach not only strengthens the reliability and scalability of CRM platforms in healthcare but also paves the way for smarter decision-making and personalized patient care. The findings emphasize the transformative potential of blockchain and distributed web systems in enhancing CRM functionality, aligning technology with the evolving needs of the medical industry.

University of Pitesti (RO), St. Cyril and St. Methodius University of Veliko Tarnovo (BG)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Blockchain Technology Applications and Security
6.49
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Improving CRM Functionality in Medical Systems through Blockchain and Distributed Web Systems — Vassil Milev, Marian Ileana, et al. · (2025) | TGRS Research Map | TGRS