5/15/2017

GeoFHIR - Representación geografica de población implementada con FHIR

En el ámbito de los Servicios que ofertamos en Bilbomática referidos a los desarrollos de sistemas GIS y actualemente de GEOMarketing, nos ha resultado muy instructivo esta site de demostración realizada por MITRE, donde de forma novedosa en este ámbito, utilizan FHIR en el modulo  "Synthea - Synthetic Patient Population Simulator"  que trabaja con los formatos FHIR (STU3 v1.8) y HL7 C-CDA

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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El área GIS en Bilbomática ha crecido significativamente con nuevos contratos adjudicados entre otros para la Agencia Europea de Medio Ambiente, Centro Europeo para la Prevención y el Control de las Enfermedades, Oficina Estadística de la Unión Europea de y la Dirección General de Medio Ambiente de la Comisión Europea....

Proyectos más relevantes desarrollados por Bilbomática: