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GUI Applications

Web-based tools for cohort building, data quality assessment, and standardized analyses — no coding required.

  • ATLAS

    The OHDSI ATLAS application is a web-based tool for designing and executing population-level analyses on observational health databases. Define study populations, specify analysis parameters, and visualize results through a point-and-click interface.

    Emory's Instance (VPN required) OHDSI Demo Instance

    Emory training resources OHDSI documentation

  • Data Quality Dashboard

    Assess the quality of observational health data across Emory's OMOP instance. Emory maintains a static version with the five most recent dashboards corresponding to the five most recent data releases.

    Emory's Data Quality Dashboard

  • ARES

    OHDSI's data characterization tool for exploring source-level data quality, concept prevalence, and temporal trends. Browse data density, concept-level summaries, and quality metrics across Emory's OMOP instance.

    Emory's ARES (VPN required) OHDSI documentation

  • CohortDiagnostics

    An OHDSI tool for evaluating cohort definitions with standardized analyses — assess characteristics and outcomes of target populations.

    On Emory's roadmap — not yet available.

    OHDSI documentation

  • PhenotypeLibrary

    A repository of standardized phenotype definitions for observational research. Emory plans to implement a local version tracking community-developed phenotypes alongside CohortDiagnostics results.

    On Emory's roadmap — not yet available.

    OHDSI Phenotype Library