URSA-PHF | Summary Dashboard

Overview

This report is designed to monitor performance across markets, payors, and patient cohorts across top population health measures. Unlike other URSA-PHF reports which contain measures related to a single topic (e.g., Hospital Inpatient Readmissions) and are meant to introduce users to the key concepts related to that topic (e.g., which inpatient admissions qualify for the denominator of a readmission measure), this report includes a selection of measures across topic areas. This report contains pre-built dashboards to provide helpful views of measure results disaggregated by various patient, claim, or encounter groupers. These boards are meant to serve as a starting point and are meant to be localized based to your organization (e.g., your definition of a market).

Use this report to

• Access pre-built boards that provide a profile of your patient population, their utilization, and variation across time, geography, plan membership, and patient condition cohorts.
• Create leadership dashboards for clinical and/or operational leads that monitor utilization across markets and payor contracts.
• Perform ad hoc analyses to answer questions raised by clinical and/or operational leaders across URSA-PHF topics areas.
• Upon receiving historical claims data for a new population (e.g., new risk based payor contract is going live) to understand the historical and current profile of the population and their utilization compared to existing populations.

Potential takeaways

Answering questions about the profile of your population:

• How many patients have active plan membership broken out by their insurance financial class (Commercial/Medicare/Medicaid)?
• What percent of our patients have hypertension (or any of 50+ other specific chronic conditions)?
• What level of variation is there in the disease burden across plans and our clinics?
  • What percent of all patients have conditions impacting 2+ systems?
  • How does that vary by plan?
  • How does that vary by which of our clinics they are attributed to?
• What percent of hospital inpatient admissions result in a same day discharge?
  • What are the top reasons for those encounters?
  • How much is spent on those encounters?
• How does spending vary across types of encounters, services, and settings for patients living in geographies with differing levels of SDoH risk or barriers?

Measures included in this Report

• URSA-PHF-R01: Patients with Active Membership
• URSA-PHF-R03: Registry of all URSA-CORE Encounters
• URSA-PHF-R10: Registry of Claim Service Financials
• URSA-PHF-001: PMPM Plan Spending
• URSA-PHF-009: URSA-CORE Encounter PMPM Plan Spending
• URSA-PHF-020: Inpatient LOS in Midnights per 1000 Member-Years
• URSA-PHF-021: Admits per 1000 Member-Years
• URSA-PHF-022: ED Visits per 1000 Member-Years
• URSA-PHF-024: Observation Encounters per 1000 Patient-Years
• URSA-PHF-030: 30-Day All-Cause Readmissions
• URSA-PHF-034: Patients with PCP Visit Last 12 Months
• URSA-PHF-035: Patients with AWV Last 12 Months
• URSA-PHF-036: Post-Inpatient Primary Care Visit within 7 Days