A paper co-authored by Duke AI Health researchers Christine Shen, Christian Péan,MD, and Samuel Berchuck, PhD, received a Student Paper Award from the Bayesian Statistical Science Section of the American Statistical Association. The work introduces a new spatial modeling approach to identify geographic patterns in hospital readmission risk following upper extremity fracture surgery while accounting for competing mortality risk. Using high-resolution maps, the team highlights local areas where patients face elevated risk, creating opportunities for targeted, community-level interventions. This framework demonstrates how advanced statistical methods can translate complex health data into actionable insights for population health and care delivery.
