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Non-Relative Value Unit-Generating Activities Represent One-Fifth of Academic Neuroradiologist Productivity
M Wintermark1, M Zeineh2, G Zaharchuk2
1From the Departments of Radiology (M.W., M.Z., G.Z., N.F.) max.wintermark@gmail.com.
AJNR. American Journal of Neuroradiology
|March 5, 2016
Summary
Neuroradiologists can now easily track non-RVU clinical activities like consults and conferences using a simple web app. This helps quantify valuable work beyond imaging studies, crucial for modern healthcare metrics.
Area of Science:
- Radiology
- Healthcare Management
Background:
- Neuroradiologist workload extends beyond interpreting imaging studies that generate relative value units (RVUs).
- Clinical activities such as consults and conferences are often unquantified, despite their importance.
Purpose of the Study:
- To develop and test a straightforward method for recording and quantifying non-RVU generating clinical activities.
- To assess the volume of neuroradiologists' involvement in consults and clinical conferences, including tumor boards.
Main Methods:
- Four full-time neuroradiologists systematically recorded non-RVU activities over three months.
- A user-friendly, web-based application accessible via various devices was utilized for data collection.
- Data on interpreted imaging studies and associated RVUs were extracted from the institutional billing system.
Main Results:
- Over three months, neuroradiologists interpreted 4,241 RVU-generating studies, yielding 8,152 work RVUs.
- A total of 792 non-RVU generating study reviews were recorded for consults and conferences.
- These non-RVU activities represented 19% of the volume of interpreted RVU-generating imaging studies.
Conclusions:
- A simple web-based application can effectively record and quantify non-RVU generating activities like consults and conferences.
- Quantifying these activities is essential during the shift from volume-based to value-based healthcare.
- This data is vital for accurate staffing, resource allocation, and potentially influences payment models.

