schedule-optimization

The schedule-optimization skill provides expert-level capabilities for generating and refining medical residency schedules. It leverages constraint programming and multi-objective optimization techniques, integrating with OR-Tools solvers and a resilience framework to handle complex scheduling scenarios. The skill is designed to resolve conflicts, balance workloads, improve coverage, and optimize assignment efficiency, particularly for outpatient half-day rotations, while respecting pre-assigned block rotations that require special handling.

Key features include multi-objective optimization using Pareto principles, support for both block-assigned and half-day optimized scheduling, and integration with a constraint-based solver. It includes mechanisms to filter templates appropriately for the solver, differentiate between activity types (e.g., outpatient, clinic, inpatient, night float), and handle unique constraints such as mirrored half-block assignments for Night Float rotations. The system tracks solver status, applies fixes for template selection, and ensures that capacity and supervision constraints are maintained.

This skill is primarily used by medical education administrators, residency program coordinators, and scheduling engineers who need to efficiently generate complex rotation schedules. Typical use cases include optimizing outpatient elective schedules, ensuring fair workload distribution, resolving conflicts in half-day assignments, and maintaining adherence to specific block constraints. It is suitable for programs requiring both automated optimization and human review for infeasible or special-case rotations.