Artigo em revista científica Q2
Health data sharing towards knowledge creation
Luís B. Elvas (Elvas, L. B.); Joao C Ferreira or Joao Ferreira (Ferreira, J.); Miguel Sales Dias (Dias, J.); Luís Brás Rosário (Rosário, L. B.);
Título Revista
Systems
Ano (publicação definitiva)
2023
Língua
Inglês
País
Suíça
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Abstract/Resumo
Data sharing and service reuse in the health sector pose significant privacy and security challenges. The European Commission recognizes health data as a unique and cost-effective resource for research, while the OECD emphasizes the need for privacy-protecting data governance systems. In this paper, we propose a novel approach to health data access in a hospital environment, leveraging homomorphic encryption to ensure privacy and secure sharing of medical data among healthcare entities. Our framework establishes a secure environment that enforces GDPR adoption. We present an Information Sharing Infrastructure (ISI) framework that seamlessly integrates artificial intelligence (AI) capabilities for data analysis. Through our implementation, we demonstrate the ease of applying AI algorithms to treated health data within the ISI environment. Evaluating machine learning models, we achieve high accuracies of 96.88% with logistic regression and 97.62% with random forest. To address privacy concerns, our framework incorporates Data Sharing Agreements (DSAs). Data producers and consumers (prosumers) have the flexibility to express their prefearences for sharing and analytics operations. Data-centric policy enforcement mechanisms ensure compliance and privacy preservation. In summary, our comprehensive framework combines homomorphic encryption, secure data sharing, and AI-driven analytics. By fostering collaboration and knowledge creation in a secure environment, our approach contributes to the advancement of medical research and improves healthcare outcomes. A real case application was implemented between Portuguese hospitals and universities for this data sharing.
Agradecimentos/Acknowledgements
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Palavras-chave
Information sharing,Artificial intelligence,Data sharing agreement,Electronic health records,Security,Homomorphic encryption
  • Matemáticas - Ciências Naturais
  • Ciências da Computação e da Informação - Ciências Naturais
  • Engenharia Civil - Engenharia e Tecnologia
  • Outras Ciências Sociais - Ciências Sociais
Registos de financiamentos
Referência de financiamento Entidade Financiadora
UIDB/04466/2020 Fundação para a Ciência e a Tecnologia
UI/BD/151494/2021 Fundação para a Ciência e a Tecnologia
DSAIPA/AI/0122/2020 Fundação para a Ciência e a Tecnologia
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