Motor Vehicle Accident (MVA) cases are some of the most challenging records in the medicolegal world. Independent medical evaluators (IMEs) , legal professionals , insurance adjusters all rely on the same dense, disorganized documents but each needs clear, defensible insights to make informed decisions. Reviewing these files manually often feels like searching for answers in a two thousand-page haystack. SiftMed changes that. Our AI-powered platform streamlines the entire medical review...

Artificial intelligence is becoming increasingly integrated into medical review workflows, offering new efficiencies and improvements. We see reviewers ask smart, practical questions about using AI in their processes - and that caution is both appropriate and necessary.

Reviewing a 2,000-page medical file shouldn’t feel impossible — but for many professionals, it does. From duplicate documents to unreadable handwriting, there are hidden traps that slow reviews and increase errors. Discover the five most common pitfalls in medical record review — and how tools like SiftMed help you avoid them for faster, more accurate results.