Identification of patients with hemoglobin SS/Sβ⁰ thalassemia disease and pain crises within electronic health records.

ABSTRACT: Electronic health records (EHRs) are a source of big data that provide opportunities for conducting population-based studies and creating learning health systems, especially for rare conditions such as sickle cell disease (SCD). The objective of our study is to validate algorithms for accurate identification of patients with hemoglobin (Hb) SS/Sβ⁰ thalassemia and acute care encounters for pain among SCD patients within EHR warehouse. We used data for children receiving care at Children's Hospital of Wisconsin from 2013 to 2016 to test the accuracy of the 2 algorithms. The algorithm for genotype identification used composite information (blood test results, transcranial Doppler) along with diagnoses codes. Acute pain encounters were identified using diagnoses codes and further re

SUBMITTER: Singh A 

PROVIDER: S-EPMC5998922 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature