August 22, 2022A new electronic health records (EHR) algorithm, which can differentiate attention deficit hyperactivity disorder (ADHD) from comorbid conditions in children, may lead to more accurate diagnoses and treatment interventions.
According to findings published in the journal Neurodevelopmental Disorders, more than half of children with ADHD have one comorbidity or more.
This has confounded clinicians who’ve had trouble discerning whether a patient’s symptoms were caused by ADHD or comorbidity.1Given the prevalence of ADHD comorbidities, researchers from the Center for Applied Genomics (CAG) at Children’s Hospital of Philadelphia (CHOP) developed a multi-source EHR rule-based algorithm with natural language processing (NLP) test mining to provide a comprehensive view of a patient’s medical record.
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