Advanced Scheduling Powered by AI – encore: From “Operational Trauma” to Operational Excellence
Case Study

Advanced Scheduling Powered by AI – encore: From “Operational Trauma” to Operational Excellence

Forecasted Operational & Strategic Outcomes

About the Customer

The nation’s largest radiology practice, managing nearly 4,000 radiologists across 50 states.

Challenge

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.

  • Data Fragmentation: Critical information lived in disparate silos that did not “talk” to each other, making it impossible to gain a unified view of operations.
  • Lack of Capacity Planning: Without an accurate forecasting solution, leaders could not effectively predict patient demand or clinician availability.
  • Sub-Optimal Scheduling: The absence of a centralized system made it difficult to optimize schedules based on complex levers such as provider credentials, resource costs, and specific contractual rules.
  • Operational & Financial Risk: Reliance on manual data “scavenger hunts” across multiple spreadsheets led to entry errors, inefficient resource utilization, loss of revenue, and potential SLA breaches.

Solution

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.

Businessman touching the brain working of Artificial Intelligence (AI)
Automation, Predictive analytics, Customer service AI-powered chatbot, analyze customer data, business and technology

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.

The Human Benefit

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’”.