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Dataset Information

Ambulatory Surgery Ensemble: Predicting Adult and Pediatric Same-Day Surgery Cases Across Specialties.


ABSTRACT:

Objective

To develop an ensemble model using case-posting data to predict which patients could be discharged on the day of surgery.

Background

Few models have predicted which surgeries are appropriate for day cases. Increasing the ratio of ambulatory surgeries can decrease costs and inpatient bed utilization while improving resource utilization.

Methods

Adult and pediatric patients undergoing elective surgery with any surgical specialty in a multisite academic health system from January 2021 to December 2023 were included in this retrospective study. We used surgical case data available at the time of case posting and created 3 gradient-boosting decision tree classification models to predict case length (CL) less than 6 hours, postoperative length of stay (LOS) less t

SUBMITTER: Howell TC 

PROVIDER: S-EPMC11932624 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature