Natural language processing to measure the frequency and mode of communication between healthcare professionals and family members of critically ill patients.

ABSTRACT:

Objective

To apply natural language processing (NLP) techniques to identify individual events and modes of communication between healthcare professionals and families of critically ill patients from electronic medical records (EMR).

Materials and methods

Retrospective cohort study of 280 randomly selected adult patients admitted to 1 of 15 intensive care units (ICU) in Alberta, Canada from June 19, 2012 to June 11, 2018. Individual events and modes of communication were independently abstracted using NLP and manual chart review (reference standard). Preprocessing techniques and 2 NLP approaches (rule-based and machine learning) were evaluated using sensitivity, specificity, and area under the receiver operating characteristic curves (AUROC).

Results

Over 2700 combinat

SUBMITTER: Lucini FR 

PROVIDER: S-EPMC7936522 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature