Beyond the Reading Room: Solving Radiology’s Workforce Puzzle (2026)-Case Study

Case Study _ Mayfair Diagnostics

Pdf Summary

Mayfair Diagnostics, a radiology provider serving more than 600,000 patients annually, replaced its outdated, manual workforce processes with QGenda’s unified platform for scheduling, time and attendance, and credentialing.<br /><br />The legacy scheduling system struggled to account for radiologists’ specialties, skills, clinic preferences, and seat requirements. Creating schedules took 48–72 hours and allowed planning only a week ahead. QGenda’s rules-based automation, schedule templates, and shift-request tools reduced scheduling time to 4–6 hours—a reduction of up to 92%—and enabled schedules to be published three weeks in advance. Improved visibility and safeguards also supported fairer assignments, appropriate shift swaps, and greater radiologist satisfaction.<br /><br />QGenda Time and Attendance automatically uses schedule data and pay rules to calculate compensation, reducing payroll inconsistencies and errors. Radiologists can review their pay before payroll processing, while integration with Payworks supports timely, accurate payment.<br /><br />Credentialing had relied on spreadsheets and lengthy email exchanges, making onboarding difficult to track. QGenda’s centralized workflows, automated reminders, e-signing, and form auto-population helped Mayfair reduce time-to-credential by up to 75%; one new radiologist was onboarded in three months rather than a year.<br /><br />Together, the products give Mayfair a centralized way to schedule, compensate, and onboard its radiologist workforce while improving operational efficiency, data accuracy, and staff experience.

Keywords

Mayfair Diagnostics

QGenda

radiology

workforce management

scheduling automation

time and attendance

credentialing

payroll accuracy

radiologist onboarding

operational efficiency