Aligned Imaging Solutions

X-RAY FAST FACTS.

Fast facts: X-ray

  • X-ray is 50% of the volume of an Imaging Service Line—but only accounts for 12-15% of the total RVU yield [1]

  • X-ray accounts for 44% of imaging during normal business hours, but jumps to 57% of all imaging after hours, when radiologists tend to not be onsite [2]

  • X-ray accounts for 61% of all imaging done in the ED [2]

 

Fast facts: Radiologist demand and burnout

  • 48% of radiologists report “burnout” [3]

  • 4 FTEs are required to have a radiologist onsite 24/7

—  1 radiologist onsite 52 weeks a year actually requires 1.3 FTEs due to vacations x 3 shifts per day

  • X-ray reading makes productivity-based models challenging

—  Looking at images onscreen accounts for only 25% of the total time for a radiologist to select and dictate an X-ray exam

  • Radiologists are disproportionately named as defendants in malpractice claims compared with other specialists [4]

 

Fast facts: the benefits of X-ray with AIS

  • When an Imaging Service Line with 1 million total annual exams partners with AIS, 337 hours of capacity will be restored to the typical work week, which local radiologists can use to focus on high-value tasks [2]

  • Newfound capacity for local radiologists provides opportunity to focus on areas including women’s imaging, interventional radiology, pediatric imaging, advanced modalities, quality measures, and academic responsibilities

  • Removing X-ray from the modality mix for a health system doubles the local radiology RVU/study ratio from 0.9 to 1.6—enabling local radiologists to work smarter, not harder [2]

Sources:  1. Daher NM. Fuel growth in imaging. Frost & Sullivan. Available at https://www.medicalis.com/images/files/FrostSullivan_Fuel_Growth_in_Imaging-2.pdf. Accessed Nov 7, 2018.  2. Data on file, Aligned Imaging Solutions.  3. Harolds JA et al. Burnout of radiologists: frequency, risk factors, and remedies: a report of the ACR Commission on Human Resources. J Am Coll Radiol. 2016 Apr;13(4):411-6.  4. Williams LH, Drew T. Distraction in diagnostic radiology: How is search through volumetric medical images affected by interruptions? Cogn Res Princ Implic. 2017;2(1):12.