Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud

Fuente: arXiv
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Main Authors: Catak, Ferhat Ozgur, Rong, Chunming, Meinich-Bache, Øyvind, Brunner, Sara, Engan, Kjersti
Format: Preprint
Published: 2025
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author Catak, Ferhat Ozgur
Rong, Chunming
Meinich-Bache, Øyvind
Brunner, Sara
Engan, Kjersti
author_facet Catak, Ferhat Ozgur
Rong, Chunming
Meinich-Bache, Øyvind
Brunner, Sara
Engan, Kjersti
contents This study introduces a cutting-edge architecture developed for the NewbornTime project, which uses advanced AI to analyze video data at birth and during newborn resuscitation, with the aim of improving newborn care. The proposed architecture addresses the crucial issues of patient consent, data security, and investing trust in healthcare by integrating Ethereum blockchain with cloud computing. Our blockchain-based consent application simplifies patient consent's secure and transparent management. We explain the smart contract mechanisms and privacy measures employed, ensuring data protection while permitting controlled data sharing among authorized parties. This work demonstrates the potential of combining blockchain and cloud technologies in healthcare, emphasizing their role in maintaining data integrity, with implications for computer science and healthcare innovation.
format Preprint
id arxiv_https___arxiv_org_abs_2504_20700
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud
Catak, Ferhat Ozgur
Rong, Chunming
Meinich-Bache, Øyvind
Brunner, Sara
Engan, Kjersti
Cryptography and Security
This study introduces a cutting-edge architecture developed for the NewbornTime project, which uses advanced AI to analyze video data at birth and during newborn resuscitation, with the aim of improving newborn care. The proposed architecture addresses the crucial issues of patient consent, data security, and investing trust in healthcare by integrating Ethereum blockchain with cloud computing. Our blockchain-based consent application simplifies patient consent's secure and transparent management. We explain the smart contract mechanisms and privacy measures employed, ensuring data protection while permitting controlled data sharing among authorized parties. This work demonstrates the potential of combining blockchain and cloud technologies in healthcare, emphasizing their role in maintaining data integrity, with implications for computer science and healthcare innovation.
title Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud
topic Cryptography and Security
url https://arxiv.org/abs/2504.20700