PySynthea: A Python-Native Framework for Scalable Synthetic Healthcare Data Generation
Synthetic healthcare data is increasingly important for research, education, and machine learning development where access to real patient data is limited by privacy and governance constraints. While Synthea provides a widely adopted framework for generating realistic longitudinal electronic health record data, its current implementation presents adoption barriers for many researchers and data scientists due to deployment complexity and limited integration with modern Python-based workflows. Thi
Record details
Published: 2 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Privacy · Healthcare · Children & education
Retrieved: 14 July 2026
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ethics.ai (2 June 2026), “PySynthea: A Python-Native Framework for Scalable Synthetic Healthcare Data Generation,” evidence record 3207, https://ethics.ai/record/3207 (originally published by arXiv).
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