
Types of deviations: major, minor, and the gray area between
Define protocol deviations, classify by severity using safety and data integrity criteria, navigate gray areas with CTQ factor analysis, and determine reporting pathways.
Deviations are not the exception β they are the reality
Every clinical trial protocol is a carefully designed blueprint. It specifies visit windows, procedure sequences, dosing schedules, laboratory parameters, and eligibility criteria with a precision that leaves little room for ambiguity. And yet, in the real world of clinical research β where participants arrive late, pharmacies delay dispensing, blood draws are missed, and consent forms expire between versions β the protocol is not always followed exactly as written.