synple: A Platform for Privacy Preserving Synthetic Patient Data Generation

Patient data collection is often constrained by accessibility, privacy, and confidentiality issues in healthcare research. To overcome this problem, the generation of synthetic data has been proposed. Nevertheless, existing synthetic patient generators do not cover European populations, nor do they offer flexibility in the process of generating data and building a biographical profile. In this paper, we introduce synple, a tool for synthetic patient data generation that mirrors the demographic characteristics of Portugal and Spain while adhering to GDPR and HIPAA regulations. Our platform produces comprehensive patient profiles, including both biological and biographical details, life narratives, and facial images, facilitated through an intuitive web interface powered by advanced generation algorithms. Additionally, the platform incorporates a validation feature, enabling users to assess the quality and consistency of the generated synthetic data. We demonstrate our system’s potential for enhancing healthcare research and safeguarding patient privacy in the digital age.