
Forecasted Operational & Strategic Outcomes
The nation’s largest radiology practice, managing nearly 4,000 radiologists across 50 states.
While the scale of operations was massive, the organization was trapped in a reactive cycle due to disconnected systems for scheduling, credentialing, and volume forecasting. This resulted in significant overspending on premium
labor—including W-2s, ICs, and locums—because schedules were not optimized against actual demand or contractual obligations.
Lateetud developed encore, a custom optimization engine built on a “surround” strategy. Instead of disrupting legacy systems, enCore layers over existing clinical feeds and data warehouses to create a “single pane of glass” for fast-paced decision-making.

The solution replaces manual, fragmented workflows with an integrated ecosystem powered by AI, Machine Learning, and Microsoft technologies like Azure and Fabric. By unifying disparate data sources, Encore enables healthcare organizations to shift from reactive staffing to predictive capacity management.
The solution accurately considers patient demand and provider capacity to optimize scheduling, ensuring the right clinicians are in the right place at the right time. This delivers a dual benefit: significantly increased clinical throughput at an optimal cost while reducing administrative burnout.
Restoring “Operational Joy”: Beyond the numbers, Encore transformed the daily lives of the people behind the data:
| Eliminating Burnout: | Radiologists no longer feel their time is wasted on Eliminating Burnout: inefficient shifts. |
| Empowering Staff: | Schedulers and managers report a renewed excitement for their work, with one stating, “I no longer hate Mondays!”. |
| The Physician Expert Partnership: |
Leadership highlighted Lateetud’s proactive approach: “We’ve never been met with a ‘no,’ it’s just ‘how and why’”. |