A clinical researcher has been asked to probe the risk of blindness in diabetic patients by discovering all diabetic patients that didn’t have an eye exam in the last year. The researcher wants to focus on those diabetic patients with high cholesterol, suggesting higher severity of illness. At her discretion, she defines diabetics by any one of three events: a Clinic Visit with diagnosis code of DM, a Hemoglobin A1c result greater than 7, or a Problem List Issue of DM. The earliest of any of those will become the date of diagnosis of DM and will be the Index Date for each subject.
Additionally, the researcher decides that high cholesterol is indicated by a cohort member having an LDL cholesterol > 130 within 30 days of the diabetes diagnosis. Finally, those diabetics with high LDL who have NOT had an eye exam in a given year are included in the study. Normally, such an analysis would require a database programmer and be delayed by the wait-time for requests in the IT queue. CLG enables clinical managers, analysts, and researchers to implement these rules in a cohort definition and perform this analysis themselves without delay.