“…Numerous investigations have relied on algorithms to identify diagnostic delays based on commonly occurring symptom criteria such as cough, fever, pain, headaches, malaise and fatigue 8,9,12,16 , yet only a few have attempted to account for a coincidental or expected occurrence of such symptoms. [17][18][19] A growing number of investigators have begun to use longitudinal administrative and EMR-based data to identify diagnostic delays. 11,[20][21][22] These data allow both inpatient, outpatient or emergency department (ED) records to be used in a "look back" approach, where evidence of a disease (e.g., symptom codes) is identified in visits prior to the definitive diagnosis.…”