Development of a natural language processing algorithm to detect chronic cough in electronic health records.

ABSTRACT:

Background

Chronic cough (CC) is difficult to identify in electronic health records (EHRs) due to the lack of specific diagnostic codes. We developed a natural language processing (NLP) model to identify cough in free-text provider notes in EHRs from multiple health care providers with the objective of using the model in a rules-based CC algorithm to identify individuals with CC from EHRs and to describe the demographic and clinical characteristics of individuals with CC.

Methods

This was a retrospective observational study of enrollees in Optum's Integrated Clinical + Claims Database. Participants were 18-85 years of age with medical and pharmacy health insurance coverage between January 2016 and March 2017. A labeled reference standard data set was constructed by manually

SUBMITTER: Bali V 

PROVIDER: S-EPMC9238070 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature