Thesis subject

Comparison and Evaluation of Pseudonymization Algorithms for Client Reports in Intellectual Disability Care (MSc)

Within the academic collaborative “Sterker op Eigen Benen”, we aim to improve healthcare for people with intellectual disabilities. Research using routinely collected healthcare data plays an important role in this. Client reports in electronic care records contain valuable, yet privacy-sensitive information about behaviours, symptoms, and events that are crucial for diagnostics and research, such as predicting health issues (e.g., cancer) or behavioural incidents. Due to the highly sensitive nature of this data, privacy protection is essential.