Healthcare staff scheduling for academic medical centers

Thrawn's Scheduling Programming Language optimizes Block, Call, Clinic, and Attending schedules simultaneously as one interconnected system. Unlike tools that generate each schedule separately and force manual reconciliation, Thrawn treats all schedule types as a single optimization problem. This eliminates the domino effect where a change to one schedule breaks another, which is one of the most common and time-consuming problems at academic medical centers.

Yes. Thrawn is built natively for graduate medical education, including residency and fellowship programs at academic medical centers. The service is configured around ACGME duty hour rules, rotation requirements, resident preferences, and educational goals. It is not an enterprise scheduling platform adapted for GME use, which means it handles the specific constraints and compliance requirements that academic programs face without workarounds.

Thrawn's mathematical optimization engine treats ACGME duty hour rules as hard constraints during schedule generation. Violations are prevented before any schedule is produced, not flagged after the fact. This is architecturally different from rule-based tools that generate a schedule and then scan for violations, often requiring a manual rebuild. Programs receive compliant schedules from the start.

Program directors and chief residents send Thrawn their constraints: rotation requirements, resident preferences, vacation requests, ACGME duty hour rules, and educational goals. Thrawn's scheduling specialists and optimization engine handle all schedule generation. The program then reviews and approves finished schedules. There is no software to learn, no manual schedule building, and no configuration burden placed on the program's staff.

Thrawn currently serves 19 departments across 14 hospitals at multiple top-20 academic health systems on the East Coast, West Coast, and Southwest. The company does not publicly name specific institutions, but it works exclusively with academic medical centers running residency and fellowship programs that require complex, multi-schedule optimization.