Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.
Journal:
Arthritis research & therapy
Published Date:
Dec 30, 2019
Abstract
BACKGROUND: Systemic sclerosis (SSc) is a rare disease with studies limited by small sample sizes. Electronic health records (EHRs) represent a powerful tool to study patients with rare diseases such as SSc, but validated methods are needed. We developed and validated EHR-based algorithms that incorporate billing codes and clinical data to identify SSc patients in the EHR.