Hospitals suffer from implementing Data Spaces due to the risks related to data security aspects. To ensure patients' data privacy, healthcare organizations can incorporate pseudonymization strategies into their data management practices, promoting collaboration and information sharing among several hospital departments and healthcare professionals. In this paper, we defined and implemented the intent-based mul-tilevel granular approach for HL7 FHIR JSON documents pseudonymization, by comparing it with non-granular encryption of the entire document. With this approach, we enhance patient confidentiality and facilitate efficient healthcare data sharing within the Intra-Hospital Data Space, facilitating enhanced flexibility and scalability in deploying and utilizing data management systems.
Intent-Based Pseudonymization for Healthcare Workflows on Intra-Hospital Data Space Domain
Morabito G.;Ruggeri A.;Celesti A.;Villari M.;Fazio M.
2024-01-01
Abstract
Hospitals suffer from implementing Data Spaces due to the risks related to data security aspects. To ensure patients' data privacy, healthcare organizations can incorporate pseudonymization strategies into their data management practices, promoting collaboration and information sharing among several hospital departments and healthcare professionals. In this paper, we defined and implemented the intent-based mul-tilevel granular approach for HL7 FHIR JSON documents pseudonymization, by comparing it with non-granular encryption of the entire document. With this approach, we enhance patient confidentiality and facilitate efficient healthcare data sharing within the Intra-Hospital Data Space, facilitating enhanced flexibility and scalability in deploying and utilizing data management systems.Pubblicazioni consigliate
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