The Contribution of Staffing to Medication Administration Errors: A Text Mining Analysis of Incident Report Data.

Marja Härkänen Katri Vehviläinen-Julkunen Trevor Murrells Jussi Paananen Bryony Dean Franklin Anne Marie Rafferty

Published in: Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing (2019)

This work lays the groundwork for creating automated text-analytical systems that could analyze incident reports in real time and flag or monitor staffing levels and related medication administration errors.

Keyphrases

adverse drug
electronic health record
cardiovascular disease
smoking cessation
emergency department
drug induced
machine learning
deep learning
patient safety
healthcare
high throughput
artificial intelligence
mass spectrometry