Review the Reporting Provider Dashboard in mPower

The Reporting Provider Dashboard in mPower Analytics helps you review productivity, turnaround time, and quality metrics for individual reporting providers. It provides detailed, provider‑specific insights to support performance review and operational analysis.

What the Reporting Provider Dashboard shows

The Reporting Provider Dashboard displays analytics for a selected reporting provider. Depending on your data and permissions, it includes:

  • Current statistics for the selected provider
  • Exam volume, work RVUs, and median turnaround time by day (last 30 days)
  • Critical result events by day
  • Quality measure events by day
  • Mismatch events by day
  • Monthly volume and work RVU trends (this year vs. last year)
  • Median turnaround time by patient status
  • Median turnaround time by stat vs. non‑stat exams
  • Modality distribution (recent activity)
  • Top exam types and organizations associated with the provider

These views help you understand workload, efficiency, and quality trends for each reporting provider.

Open the Reporting Provider Dashboard

To access the Reporting Provider Dashboard:

  1. Sign in to mPower.

  2. Select mPower Analytics from the main page.

    Screenshot of mPower Clinical Analytics search page with search bar, Radiology, Pathology, RadPath tabs, and mPower Analytics link highlighted.

  3. Open Dashboards.

  4. Select Reporting Provider.

    Screenshot of mPower Analytics Dashboards page with Reporting Provider button highlighted.

  5. Choose a reporting provider from the list.

    Screenshot of mPower Analytics Reporting Provider Dashboards with provider list, report volumes, filters, and Apply, Undo, Reset Filters buttons.

    The dashboard opens with charts and tables specific to the selected provider.

    Screenshot of Nuance mPower dashboard showing report volume, RVU, and turnaround time charts and statistics.

Next up: Review the Exam Type Dashboard in mPower

Review exam volumes and trends by exam type to understand demand patterns and workflow distribution. Let's go