Larrucea, XabierMoffie, MichaMor, Dan2021Larrucea , X , Moffie , M & Mor , D 2021 , ' Enhancing GDPR compliance through data sensitivity and data hiding tools ' , JUCS - Journal of Universal Computer Science , vol. 27 , no. 7 , pp. 650-666 . https://doi.org/10.3897/JUCS.703690948-6968researchoutputwizard: 11556/1179Publisher Copyright: © 2021, IICM. All rights reserved.Since the emergence of GDPR, several industries and sectors are setting informatics solutions for fulfilling these rules. The Health sector is considered a critical sector within the Industry 4.0 because it manages sensitive data, and National Health Services are responsible for managing patients’ data. European NHS are converging to a connected system allowing the exchange of sensitive information cross different countries. This paper defines and implements a set of tools for extending the reference architectural model industry 4.0 for the healthcare sector, which are used for enhancing GDPR compliance. These tools are dealing with data sensitivity and data hiding tools A case study illustrates the use of these tools and how they are integrated with the reference architectural model.17901640enginfo:eu-repo/semantics/openAccessjournal article10.3897/JUCS.70369Health information ManagementIndustrial communicationData securityPrivacyData processingHealth information ManagementIndustrial communicationData securityPrivacyData processingTheoretical Computer ScienceGeneral Computer ScienceSDG 9 - Industry, Innovation, and Infrastructurehttp://www.scopus.com/inward/record.url?scp=85112725419&partnerID=8YFLogxK