A Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing.

ABSTRACT:

Introduction

Pneumonia is caused by microbes that establish an infectious process in the lungs. The gold standard for pneumonia diagnosis is radiologist-documented pneumonia-related features in radiology notes that are captured in electronic health records in an unstructured format.

Objective

The study objective was to develop a methodological approach for assessing validity of a pneumonia diagnosis based on identifying presence or absence of key radiographic features in radiology reports with subsequent rendering of diagnostic decisions into a structured format.

Methods

A pneumonia-specific natural language processing (NLP) pipeline was strategically developed applying Clinical Text Analysis and Knowledge Extraction System (cTAKES) to validate pneumonia diagnoses fol

SUBMITTER: Panny A 

PROVIDER: S-EPMC9391313 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature