
This month’s post focuses on how timely FDA decisions are in categorizing new diagnostics under the Clinical Laboratory Improvements Amendments of 1988 (CLIA). The answer is that, on average, the agency does okay, but they also sometimes may miss their own guideline by a wide margin. I use the word “may” there because the FDA data set is inadequate to support a firm conclusion. I’ll explain more about that below, but this is another case of FDA releasing incomplete data that frustrates data analytics.
Continue Reading Unpacking Averages: Assessing FDA’s Performance Categorizing New Diagnostic Tests Under CLIA