Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis.

ABSTRACT:

Background

In order to address fall underestimation by the International Classification of Diseases (ICD) in clinical settings, information from clinical notes could be incorporated via natural language processing (NLP) as a possible solution. However, its application to inpatient notes has not been fully investigated.

Objective

This study aims to develop and validate a rule-based NLP algorithm to identify falls based on inpatient admission notes from older patients.

Methods

This retrospective study used 12-year electronic inpatient records of patients aged ≥65 years from public hospitals in Hong Kong. A random sample of 1000 patients was drawn to develop the NLP algorithm. Manual review was the gold standard for assessing the algorithm's performance, with sensitivity

SUBMITTER: Qian XX 

PROVIDER: S-EPMC12262146 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature