Identifying Urinary Tract Infection-Related Information in Home Care Nursing Notes.

ABSTRACT:

Objectives

Urinary tract infection (UTI) is common in home care but not easily captured with standard assessment. This study aimed to examine the value of nursing notes in detecting UTI signs and symptoms in home care.

Design

The study developed a natural language processing (NLP) algorithm to automatically identify UTI-related information in nursing notes.

Setting and participants

Home care visit notes (n = 1,149,586) and care coordination notes (n = 1,461,171) for 89,459 patients treated in the largest nonprofit home care agency in the United States during 2014.

Measures

We generated 6 categories of UTI-related information from literature and used the Unified Medical Language System (UMLS) to identify a preliminary list of terms. The NLP algorithm was tested

SUBMITTER: Woo K 

PROVIDER: S-EPMC8106637 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature