AI tools are built to approximate outcomes from the details you type in. They typically cannot see the medical record the way a case review does, and they don’t weigh the same legal factors that matter in Iowa.
In practice, residents in Ames may enter incomplete or overly simplified details—like the date of the first symptom, the diagnosis name, or how long they “felt worse”—and the calculator fills the gaps with assumptions. That can distort the range in either direction.
Common reasons the output may not match what a claim could realistically resolve for:
- Timeline gaps: If your treatment records show breaks in care, the estimate may not account for how that affects causation and damages.
- Pre-existing conditions: Ames patients often manage more than one health issue; AI may not adjust correctly when providers had multiple possible explanations.
- Functional impact details: AI may underweight limitations that matter locally—like inability to keep up with physical job demands, caregiving duties, or follow-up schedules.


