Exploring medical error taxonomies and human factors in simulation-based healthcare education.

ABSTRACT: This study aims to provide an updated overview of medical error taxonomies by building on a robust review conducted in 2011. It seeks to identify the key characteristics of the most suitable taxonomy for use in high-fidelity simulation-based postgraduate courses in Critical Care. While many taxonomies are available, none seem to be explicitly designed for the unique context of healthcare simulation-based education, in which errors are regarded as essential learning opportunities. Rather than creating a new classification system, this study proposes integrating existing taxonomies to enhance their applicability in simulation training. Through data from surveys of participants and tutors in postgraduate simulation-based courses, this study provides an exploratory analysis of whether a generi

SUBMITTER: Skrisovska T 

PROVIDER: S-EPMC11741583 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature