Using Natural Language Processing to Measure and Improve Quality of Diabetes Care: A Systematic Review.

ABSTRACT:

Background

Real-world evidence research plays an increasingly important role in diabetes care. However, a large fraction of real-world data are "locked" in narrative format. Natural language processing (NLP) technology offers a solution for analysis of narrative electronic data.

Methods

We conducted a systematic review of studies of NLP technology focused on diabetes. Articles published prior to June 2020 were included.

Results

We included 38 studies in the analysis. The majority (24; 63.2%) described only development of NLP tools; the remainder used NLP tools to conduct clinical research. A large fraction (17; 44.7%) of studies focused on identification of patients with diabetes; the rest covered a broad range of subjects that included hypoglycemia, lifestyle counsel

SUBMITTER: Turchin A 

PROVIDER: S-EPMC8120048 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature