Description
Use of structured codes from electronic health records (EHRs) to study the symptom experience of patients living with chronic conditions is limited by the over influence of symptom documentation related to emergency room (ER) visits (e.g., chest pain). We normalized chronic condition symptom data using randomly selected patients from the EHR. This method allowed symptoms not traditionally associated with ER visits, including malaise and fatigue, debility, and nocturia, to emerge as enriched in chronic conditions.
Learning Objective: Learn how normalization of structured electronic health record symptom codes in patients diagnosed with chronic conditions by population-level symptom documentation can be used to identify symptoms that are enriched in chronic conditions.
Authors:
Theresa Koleck (Presenter)
Columbia University
Suzanne Bakken, Columbia University
Nicholas Tatonetti, Columbia University
Presentation Materials: