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Technology and Innovation Group

Wilmot Cancer Institute / Research / Technology and Innovation Group / Projects / Cohort Builder

Cohort Builder

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Cohort Builder is a web-based, self-service data analytics platform designed to provide immediate access to aggregate patient data. It enables clinicians, researchers, administrators, and others at the University of Rochester, Wilmot Cancer Center to explore real-time, validated data effortlessly.

With Cohort Builder, users can create and compare patient cohorts based on numerous factors, each derived from the details of one aspect of the patient-cancer center relationship. It simplifies the process of requesting additional information and enables users to manage the details of that request for future use.

Features:

  • User-Friendly Interface:
    • The platform is divided into two main sections: the filter area, where users select criteria for identifying cohorts, and the results area, where decreasing counts show how each filter refines the cohort.
  • Comprehensive Filtering Options:
    • Regional Data: Filters based on county, zip code, rural/urban living areas, and the National Area Deprivation Index score.
    • Patient Demographics: Includes current age, sex, race, ethnicity, vital status, and auditory disability.
    • Diagnosis Information: Over 100 specific diseases, diagnosis dates, and age at diagnosis, with optional filters for disease stage and treatment.
    • Appointment Details: Location, timing, status (completed or scheduled), and insurance information.
  • Cohort Reduction Visualized:
    •  Once filters are applied, cascading counts instantly show how choices narrow down the cohort.
  • Seamless Cohort Management:
    • Users can request more information, edit, save, and submit cohort descriptions with a single click.
  • Admin Mode:
    • For internal use only, Cohort Builder provides users with the full details behind the counts to streamline data request fulfillment, simplify testing, and increase transparency.

Cohort Builder simplifies the process of understanding patient populations, offering users an intuitive, powerful tool to create and manage cohorts effortlessly, ultimately enhancing decision-making and reducing staff workload.