Os dejamos información sobre el proyecto syntheticmass:
"SyntheticMass contains a million realistic but fictional residents of the state of Massachusetts. The synthetic population statistically mirrors the real population in terms of demographics, disease burden, vaccinations, medical visits, and social determinants. SyntheticMass establishes a risk-free environment for experimenting with:
Data visualization
Risk stratification
Care management
Clinical decision support
Patient reported data integration
Evaluation of new treatment models
Privacy and consent models
Security and authorization models
Third-party app development
SyntheticMass on Github"
" Synthea is a Synthetic Patient Population Simulator that is used to generate the synthetic patients within SyntheticMass. Synthea outputs synthetic, realistic (but not real) patient data and associated health records in a variety of formats. Read our wiki for more information.Currently, Synthea features:
Birth to Death Lifecycle
Configuration-based statistics and demographics (defaults with Massachusetts Census data)
Modular Rule System
Drop in Generic Modules
Custom Ruby rules modules for additional capabilities
Primary Care Encounters, Emergency Room Encounters, and Symptom-Driven Encounters
Conditions, Allergies, Medications, Vaccinations, Observations/Vitals, Labs, Procedures, CarePlans
Formats
FHIR (STU3 v1.8)
C-CDA
Rendering Rules and Disease Modules with Graphviz
Synthea on Github "
"Synthetic Mass GoFHIR Server This project builds on the Go-based FHIR server
by providing data-layer interceptors to track patient statistics. These
statistics are stored in a Postgres database and used by the Synthetic
Mass UI."
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