Factors contributing to preventing operating room "never events": a machine learning analysis.

ABSTRACT:

Background

A surgical "Never Event" is a preventable error occurring immediately before, during or immediately following surgery. Various factors contribute to the occurrence of major Never Events, but little is known about their quantified risk in relation to a surgery's characteristics. Our study uses machine learning to reveal and quantify risk factors with the goal of improving patient safety and quality of care.

Methods

We used data from 9,234 observations on safety standards and 101 root-cause analyses from actual, major "Never Events" including wrong site surgery and retained foreign item, and three random forest supervised machine learning models to identify risk factors. Using a standard 10-cross validation technique, we evaluated the models' metrics, measuring thei

SUBMITTER: Arad D 

PROVIDER: S-EPMC10067209 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature