AI tools often work like this: you enter a few facts (injury type, treatment timeline, bills), and the program returns a rough range. That can be helpful for orientation.
In real Wichita Falls cases, though, the biggest differences usually come from details AI forms can’t reliably capture, such as:
- How quickly symptoms were recognized and escalated (including after ER/urgent care discharge)
- Whether follow-up was ordered and actually completed—a common issue in smaller communities
- Whether diagnostic reasoning was documented (tests ordered, missed red flags, delayed referrals)
- How injuries affected day-to-day functioning, not just what the medical bills show
When those facts aren’t entered correctly—or aren’t included at all—AI estimates can skew low (or sometimes unrealistically high).


