Applications of natural language processing at emergency department triage: A narrative review.

ABSTRACT:

Introduction

Natural language processing (NLP) uses various computational methods to analyse and understand human language, and has been applied to data acquired at Emergency Department (ED) triage to predict various outcomes. The objective of this scoping review is to evaluate how NLP has been applied to data acquired at ED triage, assess if NLP based models outperform humans or current risk stratification techniques when predicting outcomes, and assess if incorporating free-text improve predictive performance of models when compared to predictive models that use only structured data.

Methods

All English language peer-reviewed research that applied an NLP technique to free-text obtained at ED triage was eligible for inclusion. We excluded studies focusing solely on disease

SUBMITTER: Stewart J 

PROVIDER: S-EPMC10721204 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature