Developing an Analytical Pipeline to Classify Patient Safety Event Reports Using Optimized Predictive Algorithms.
Journal:
Methods of information in medicine
Published Date:
Oct 31, 2021
Abstract
BACKGROUND: Patient safety event reports provide valuable insight into systemic safety issues but deriving insights from these reports requires computational tools to efficiently parse through large volumes of qualitative data. Natural language processing (NLP) combined with predictive learning provides an automated approach to evaluating these data and supporting the work of patient safety analysts.