Technology | October 23, 2014

vRad Expands Analytics Portfolio With Global Practice Report for Radiology Practices

Free monthly report provides 24/7 metrics on all on-site and teleradiology activities

October 23, 2014 — vRad (Virtual Radiologic) now offers clients the GPI (Global Practice Information) Report, a one-stop, automated, monthly analytics solution providing a 24/7 look inside their radiology practice, including consolidated summary and facility-level onsite and teleradiology metrics for effective overall practice management.

“Tracking down the right data and extracting relevant information is a time-consuming challenge for many groups,” said Benjamin W. Strong, M.D., ABR, ABIM, vRad’s chief medical officer. “Pulling data from different systems such as billing, scheduling or PACS does not provide the normalized information needed for trending, benchmarking and operational oversight with which to make better decisions for patients, physicians and radiology practices. The new GPI Report delivers unique information, like findings-based metrics on radiologists and referring physicians. That means best practices and anomalies can be identified to improve quality and cost. Productivity analytics, like CMS RVU-based metrics, will also be more readily available for effective workload balance and to ensure a practice is rewarding its physicians for value versus volume.”

vRad developed the GPI Report by integrating the company’s clinical benchmarking platform, patent-pending vCoder data normalization solution and natural language processing (NLP) tool for innovative radiology report mining that turns qualitative text, like clinical findings, into quantitative metrics.

As a free management tool for clients partnering with vRad on final interpretations, the GPI Report provides a custom view into vRad’s radiology clinical database of 27 million+ studies, as well as a practice’s summary and facility-level information that includes:


  • Individual radiologist productivity (reading volume and relative value units by modality)
  • Volumes by location, day of week, time of day, modality and subspecialty
  • Patient class mix by shift
  • Results outcomes: Percent positive findings by referring physician and by radiologist
  • Individual referring physician volumes by modality
  • Top teleradiology procedures, critical findings and turnaround time


For more information:

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