AI tools work by taking the details you type in and running them through simplified assumptions. In practice, that means the output can miss key realities that show up in real injury claims—like:
- Whether the injury was documented consistently across visits
- Whether follow-up care was timely (or delayed)
- How quickly symptoms were treated once they were known
- Whether the provider’s notes match what happened clinically
In Celina, many people travel to appointments during work and school schedules. If documentation shows gaps—missed follow-ups, delayed referrals, or incomplete records—that can strongly affect how a claim is evaluated. AI won’t reliably account for those case-specific evidence issues.


