Enhancing surgical efficiency: predicting same-day cancellations in urologic procedures.

ABSTRACT:

Purpose

Day-of-surgery (DOS) cancellations negatively impact healthcare efficiency and patient outcomes. Early identification of at-risk patients is essential for timely perioperative interventions. This study aims to develop and evaluate a predictive model for DOS cancellations in urologic surgeries using a comprehensive set of electronic health record (EHR) derived variables, including social determinants of health (SDOH).

Methods

This retrospective cohort study examined adult patients scheduled for non-emergent urologic procedures at Zuckerberg San Francisco General Hospital (ZSFGH), a major safety-net institution. EHR data from January 2021 to June 2023 included demographics, social determinants of health, clinical history, and healthcare utilization. A lasso-optimized l

SUBMITTER: Suarez PA 

PROVIDER: S-EPMC12712017 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature