Practical framework helps radiology groups forecast ‘PTO pressure’

One radiology expert is sharing a practical framework to help peers forecast “paid time off pressure” that could strain operations and exacerbate burnout issues. 

As radiology groups grow to meet demand, the number of PTO requests likely will increase, “intensifying competition for desirable vacation periods.” This can create PTO pressure—when multiple radiologists request the same vacation week, exceeding the allowable concurrent absence threshold, according to an article published June 16 in Clinical Imaging. 

Ronnie Sebro, MD, PhD, suggests a new equation radiology leaders can use to help navigate such staffing challenges. 

“PTO conflicts can negatively impact job satisfaction, contribute to burnout, and potentially increase turnover,” wrote Sebro, a professor of radiology with the University of Texas MD Anderson Cancer Center, Houston. “Burnout in radiology is already well documented, with prevalence frequently exceeding 50% in recent surveys. Scheduling friction is therefore a potentially modifiable contributor to workforce stress.”

For a conservative forecasting model, Sebro assumed a uniform, random selection of paid time off across 52 weeks. He acknowledged this model underestimates real-world clustering around holidays, school breaks and cultural observances. Relative value unit capacity was modeled assuming a maximum of 10,000 RVUs per radiologist, with total RVUs approximated as 10,000 times practice size, minus concurrent PTO capacity. 

The model demonstrates that paid time off pressure increases with larger radiologist PTO entitlement, smaller concurrent PTO capacity and larger practice size. Sebro gave the example of a 10-radiologist group, where each rad has 6 weeks of PTO and there are 4 allowable concurrent absences. In this instance, there is at least a 14.5% chance there would be a week where 5 radiologists requested PTO, translating to the same-percentage chance of PTO conflict in that group. 

Sebro contends the model can provide a practical framework for quantifying PTO scheduling strain within radiology groups. By linking practice size, concurrent PTO capacity and annual PTO entitlement to paid time off pressure, practice leaders can anticipate vacation conflicts and evaluate any related staffing or policy adjustments. 

“The model is intentionally simple and uses routinely available administrative parameters,” Sebro noted. “Key actionable levers include increasing r (allowing more simultaneous absences), which reduces [PTO pressure] but requires additional staffing strategies such as locum coverage, teleradiology or workflow redesign. Workforce heterogeneity in PTO preferences may also distribute demand more evenly across the calendar. Incorporating PTOP estimates into recruitment discussions may improve transparency regarding work-life balance.” 

Read more, including potential study limitations, in Clinical Imaging.