Avaliação de técnicas para proteção e anonimização de dados sensíveis em aplicações na área da saúde

Abstract

In the healthcare domain, it is common for sensitive patient information to be stored during medical procedures and consultations. In this context, a data breach can compromise patient privacy or expose confidential information. Therefore, this work presents a case study in the healthcare field with the objective of applying and evaluating data protection and anonymization techniques, such as masking, generalization, suppression, hashing, and encryption. The application of these techniques aims to contribute to a data protection and anonymization module for an application designed to monitor and support individuals undergoing treatment for Parkinson’s disease, available in both web and mobile versions. The research method consisted of five stages: analysis of the application’s database, environment and infrastructure configuration, database restructuring, implementation of the data anonymization API, and evaluation of the use of anonymization. The results include a software architecture that addresses the storage and retrieval of anonymized data.