Developing electronic health record algorithms that accurately identify patients with juvenile idiopathic arthritis.

ABSTRACT:

Background

The objective of this study was to develop an algorithm that accurately identifies juvenile idiopathic arthritis (JIA) patients in the electronic health record (EHR).

Methods

Algorithms were developed in a de-identified EHR by searching for a priori JIA ICD-9 (International Classification of Diseases, Ninth Revision) and ICD-10-CM (International Classification of Diseases, Tenth Revision, Clinical Modification) codes and JIA-related keywords. Exclusion criteria were selected to remove other autoimmune diseases. A training set of 200 patients was randomly selected from patients containing ≥1 occurrence of a JIA ICD-9 or ICD-10-CM code. Case status was determined by a rheumatology clinic note documenting a JIA diagnosis before age 20. For each algorithm, positive pr

SUBMITTER: Peterson HM 

PROVIDER: S-EPMC9992125 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature