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    URSA-PHF | Basics
    • 19 May 2023
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    URSA-PHF | Basics

    • Updated on 19 May 2023
    • 1 Minute to read
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    Article summary

    Overview

    This report is designed to be the first stop for users new to the Ursa Core Data Model and provides an introduction to major out-of-the-box concepts that are available for use across all applicable measures.

    The report contains four boards that allows users to take a self-guided tour through the logic behind and application of the frequently used categorical fields and groupers related to patient characteristics, claim financials, encounter types, and provider attribution.
    While not an exhaustive catalog of everything available out of the box, this report aims to highlight concepts that a client may wish to localize to their unique population or clinical model. For example, customizing the categorical fields for grouping together chronic conditions to align patient cohorts with their interventions.

    Use this report to

    • Understand the structure and contents of the data marts used to generate the measures across the URSA-PHF module.
    • Become familiar with the logic behind patient, claim, and encounter level categorical fields or groupers available across measures to disaggregate results.
    • Access pre-built boards that illustrate how those categorical fields can be leveraged isolate specific populations or claims while performing ad hoc analyses.

    Potential takeaways

    Quickly answer common questions about your population such as:

    • How have the demographics and/or plan membership changed over time for my patient population?
    • What percent of patients have a specific chronic condition?
      • Example: what percent of my patients have hypertension but have not had more than 1 visit with a primary care provider in the last 36 months?
    • What is my PMPM? Which services are driving it? In which setting are those services occurring?
    • How does PMPM vary across my markets, payor-plan contracts, or chronic condition cohorts?
    • Which patients are attributed to PCP and what is their level of engagement?
    • Which patients are seeing a PCP that differs from the PCP assigned by the plan?
    • Which patients are seeing a specialist?

    Measures included in this Report

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