Many AI tools generate a range using the inputs you provide—injury severity, age, and a few other general factors. The problem is that spinal cord injuries are not “one-size-fits-all,” and the details that change value often aren’t captured by a simple form.
In real Missouri cases, insurers focus on items like:
- Neurological findings over time (not just the initial diagnosis)
- Complications that affect care needs (skin risk, respiratory issues, bowel/bladder function)
- Functional restrictions (transfers, mobility, independence with daily living)
- Causation evidence tying the injury to a specific incident—not a general condition
If your tool’s estimate is based on assumptions rather than your medical record and functional testing, it can drift high or low. That doesn’t mean you’re doing anything wrong—it means you’re using the wrong tool at the wrong stage.


