Most AI tools generate a predicted range by combining simplified inputs (injury level, age, basic care needs). That approach can be misleading when the outcome in a real case turns on details like:
- How quickly emergency treatment occurred after the injury
- Whether neurological function was documented consistently in the hospital and follow-up records
- Whether complications developed (for example, skin breakdown risk, respiratory issues, or bowel/bladder complications)
- How the injury affected daily mobility—including transfers, standing tolerance, and the need for durable medical equipment
In Summit, where many people commute by car and spend time on busy corridors, insurance discussions can also move fast. If you rely on an AI output too early, you risk accepting an offer before your record supports the full scope of future needs.


