Automated extraction of weight, height, and obesity in electronic medical records are highly valid.

ABSTRACT:

Objective

Coding of obesity using the International Classification of Diseases (ICD) in healthcare administrative databases is under-reported and thus unreliable for measuring prevalence or incidence. This study aimed to develop and test a rule-based algorithm for automating the detection and severity of obesity using height and weight collected in several sections of the Electronic Medical Records (EMRs).

Methods

In this cross-sectional study, 1904 inpatient charts randomly selected in three hospitals in Calgary, Canada between January and June 2015 were reviewed and linked with AllScripts Sunrise Clinical Manager EMRs. A rule-based algorithm was created which looks for patients' height and weight values recorded in EMRs. Clinical notes were split into sentences and searche

SUBMITTER: Sandhu N 

PROVIDER: S-EPMC10804327 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature