Understanding prescribing errors for system optimisation: the technology-related error mechanism classification.

ABSTRACT:

Objectives

Technology-related prescribing errors curtail the positive impacts of computerised provider order entry (CPOE) on medication safety. Understanding how technology-related errors (TREs) occur can inform CPOE optimisation. Previously, we developed a classification of the underlying mechanisms of TREs using prescribing error data from two adult hospitals. Our objective was to update the classification using paediatric prescribing error data and to assess the reliability with which reviewers could independently apply the classification.

Materials and methods

Using data on 1696 prescribing errors identified by chart review in 2016 and 2017 at a tertiary paediatric hospital, we identified errors that were technology-related. These errors were investigated to classify the

SUBMITTER: Raban MZ 

PROVIDER: S-EPMC11535662 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature