SyntheticMass contains realistic but fictional residents of the state of Massachusetts. The synthetic population aims to statistically mirror the real population in terms of demographics, disease burden, vaccinations, medical visits, and social determinants. SyntheticMass establishes a risk-free environment for experimenting with large-scale HL7 FHIR® data.
- Realistic data for fictional patients
- Data free of protected health information (PHI) and personally identifiable information (PII) constraints
- Datasets periodically updated using clinical healthcare and epidemiological models of population health
To contribute, contact the Synthea Development Team.
FHIR® is a registered trademark of HL7 and is used with the permission of HL7.
SyntheaTM is a Synthetic Patient Population Simulation used to generate synthetic patients within SyntheticMass. Synthea outputs synthetic, realistic (but not real) patient data and associated health records in a variety of formats. Read the wiki for more information.
Currently, SyntheaTM features:
- Birth to Death Lifecycle
- Configuration-based statistics and demographics
- Drop-in generic modules
- Primary care, emergency room, and symptom-driven encounters
- Conditions, allergies, medications, vaccinations, observations, labs, procedures, and care plans
- HL7 FHIR and HL7 C-CDA formats
To contribute, visit SyntheaTM on GitHub.
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