Split liver transplantation (SLT) can potentially save two lives using one liver. To facilitate increased SLT usage, we formulate a multi-queue fluid model, incorporating size matching specifics, dynamic health conditions, transplant type, and fairness. We find the optimal organ allocation policy, and evaluate its performance versus other common allocations.

We study the deceased-donor liver allocation policies in the United States. In the transplant community, broader organ sharing is believed to mitigate geographic inequity in organ access, and recent policies are moving in that direction in principle. The key message to policymakers is that they should move away from the `one-size-fits-all' approach and focus on matching supply and demand to develop organ allocation policies that score well in terms of efficiency and geographic equity.

Problem: We enhance a hospital's abdominal surgery efficiency using patient-specific information. Our framework addresses heterogeneous surgical volume effects and generates patient-specific data. Regression models, causal forest, and optimization reveal significant effects and reduce surgery duration by 3-18%. This improves efficiency by matching patients to surgeons based on specific volume effects.