Validation of an Automated System for Identifying Complications of Serious Pediatric Emergencies.

ABSTRACT:

Background

Illness complications are condition-specific adverse outcomes. Detecting complications of pediatric illness in administrative data would facilitate widespread quality measurement, however the accuracy of such detection is unclear.

Methods

We conducted a cross-sectional study of patients visiting a large pediatric emergency department. We analyzed those <22 years old from 2012 to 2019 with 1 of 14 serious conditions: appendicitis, bacterial meningitis, diabetic ketoacidosis (DKA), empyema, encephalitis, intussusception, mastoiditis, myocarditis, orbital cellulitis, ovarian torsion, sepsis, septic arthritis, stroke, and testicular torsion. We applied a method using disposition, diagnosis codes, and procedure codes to identify complications. The automated determinati

SUBMITTER: Michelson KA 

PROVIDER: S-EPMC8651277 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature