The models used to generate synthetic patients are informed by numerous academic publications. Our synthetic populations provide insight into the validity of this research and encourage future studies in population health.
Synthetic data establishes a risk-free environment for Health IT development and experimentation. This includes the evaluation of new treatment models, care management systems, clinical decision support, and more.
The effects of healthcare policy can be simulated, quickly and repeatably, in a synthetic population. Using this iterative approach, Synthea can guide policy with patient models at the state and county level that are free from privacy restrictions.