Mankato health care decisions are shaped by practical realities: regional referral patterns, follow-up schedules, and how quickly patients get imaging, specialist input, or therapy after symptoms change.
An AI tool typically uses simplified inputs—like injury severity and length of recovery—to generate a broad range. But it cannot reliably account for details that often make or break a valuation in Minnesota, such as:
- Whether symptoms were expected to improve vs. worsen based on the provider’s own documentation
- Whether follow-up was appropriate (and whether delays contributed to progression)
- Whether causation is clearly supported—for example, whether later complications actually trace back to the earlier error
- How costs are proven, including records showing what was billed, paid, and recommended
In other words, an estimate may tell you what categories of damages exist, but it won’t tell you whether those categories are legally supported by the facts in your chart.


