An OMOP-based tool for surveying and visualising concurrent drug exposure and renal function

Abstract from conference contribution: Clinical guidelines aim to help clinicians provide appropriate treatment, and dosing algorithms exist to guide treatment of patients with impaired renal function. Continuous monitoring of genuine medicine use in real patients is key to surveying guideline adherence and discerning problematic patterns, if such exist. Combining our pilot-study data from mostly surgical patients with colorectal cancer, mapped to the OMOP common data model, and Rstudio's Shiny web app framework, we developed a functional tool allowing users without technical expertise in programming or database management to interactively query and survey real-life use of select medicines requiring particular attention when used while renal function is impaired, e.g., morphine and metformin. Inappropriate dosing of the studied medicines did not seem a problem in this patient population. We found no substantial differences between females and males, nor between patients simultaneously using few and many medicines. More sophisticated functions and querying operations will be added as new and more diverse data become available.