Quick Answer Insurance AI systems flag medical records with: vague subjective complaints without objective findings, excessive visit frequency without documented progress, template language that appears copy-pasted, and missing causation narratives. MAIC's documentation avoids every one of these red flags.

The Algorithm Isn’t Looking for Fraud. It’s Looking for Weakness.

For the average PI case, AI scores the strength of medical evidence. It’s very good at identifying patterns that justify lower valuations. These are the three that trigger lower offers most consistently.

Red Flag 1: Subjective-Only Language

Notes that rely on “patient reports” or “patient complains of” without objective clinical findings. The algorithm downgrades these because there’s no verifiable data.

The fix: Pair every subjective complaint with objective findings — ROM measurements, imaging results, orthopedic test outcomes. “Patient reports neck pain” becomes defensible with “cervical ROM restricted to 30 degrees flexion, positive Spurling’s test, disc herniation confirmed on MRI.”

Red Flag 2: Treatment Gaps

A 3+ week gap between visits is one of the most reliable devaluation triggers. The algorithm interprets it as evidence the injury isn’t serious — regardless of the reason.

The fix: Consistent visit cadence with documented medical necessity. If a gap is unavoidable, the next note should explain it: “Patient unable to attend due to [reason]; symptoms persisted during interval as evidenced by [findings].”

Red Flag 3: Missing Causation Language

The most common and most costly gap. Notes that document a diagnosis without connecting it to the accident. The AI cannot infer causation — it needs to read it.

“C5-C6 disc herniation” is a finding. “C5-C6 disc herniation causally related to rear-end MVA on [date]” is evidence. Without the link, the insurer argues it’s degenerative or pre-existing.

The fix: Causation statements in every note, every visit, tied to the specific mechanism of injury.

Free File Review

Want to audit how your current medical partners handle these three areas? We’ll review a sample file and give honest feedback — no obligation. Contact Bella Guillen at [email protected].