AI auditability is becoming a prerequisite for accountable AI. Organizations increasingly need to show where an AI-generated output came from, what evidence supported it, what confidence the system assigned, where human review occurred, and how the final outcome was reached.
The clinical review process is the part every IME organization has figured out. The Evaluator's judgment is sound. The QA standard holds. Reports go out on time. What most firms haven't designed is the infrastructure to deliver a file the Evaluator can work from the moment it opens. That is where the capacity problem lives. Not in the exam. In the two days before it. An Evaluator opens a file, expecting to make a clinical judgment. What they often find first is a reconstructi
Claims operations are processing more documents than ever, but faster processing does not always create better workflow outcomes. Intelligence debt refers to the growing gap between information trapped in documents and the decisions that information should inform.
