Abstract
Access to real-world healthcare data is increasingly hindered by privacy concerns and stringent legal frameworks, including the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). Consequently, synthetic healthcare data generators, notably Synthea™, have emerged as essential tools to generate high-quality datasets with minimal privacy and legal concerns. However, many simulation engines including, Synthea™, predominantly rely on command-line interfaces (CLI), imposing significant technical barriers for clinical researchers. Furthermore, raw output formats such as HL7 Fast Healthcare Interoperability Resources (FHIR) JSON create a substantial "interpretability gap" for end-users. To address these challenges, we present SyntheaWeb, a web-based platform that simplifies the generation and interactive inspection of synthetic patient cohorts. It provides a user interface, visual cohort dashboard, structured longitudinal patient records, semantic terminology linking (e.g., SNOMED CT, LOINC), and the capability for selective subset export.