Scheduling for Large Residency Programs That Actually Works

Thrawn's Scheduling Programming Language is built for combinatorial complexity — the more residents, rotations, and constraints you have, the more it outperforms rule-based tools. Large programs send their full constraint set including resident preferences, rotation requirements, ACGME duty hour rules, and vacation requests. Thrawn's optimization engine processes all of these simultaneously and delivers finished block, call, clinic, and attending schedules for review.

Yes. Thrawn's cross-schedule optimization treats your entire program as one interconnected system regardless of how many sites are involved. Rotation assignments, coverage requirements, and complement constraints across multiple hospital locations are all factored into the same optimization. This eliminates the coordination gaps that typically emerge when sites are scheduled separately or in sequence.

Unlike tools that flag duty hour violations after a schedule is built, Thrawn prevents violations at generation time. ACGME duty hour rules — the 80-hour weekly limit, 24-plus-4 shift cap, required rest periods, and day-off requirements — are hard constraints in the optimization. Every resident in your cohort is compliant before the schedule is ever published, supporting accreditation audit readiness.

Thrawn eliminates the schedule-building workload, not the chief resident role. Chief residents shift from schedule builders to schedule reviewers — they receive finished, optimized schedules and provide feedback through a structured review process. This frees chief residents to focus on clinical leadership, education, and resident welfare rather than spending weeks building spreadsheets.

Most scheduling platforms — including QGenda and Intrigma — use rule-based engines that generate suggestions requiring human intervention to resolve conflicts. At large program scale, that human intervention multiplies dramatically. Thrawn's proprietary Scheduling Programming Language produces mathematically complete, optimal schedules from constraints directly. There are no conflicts to manually resolve and no fairness adjustments to make by hand. It is also a fully managed service, meaning your team never operates software.