Many AI tools are built to approximate damages using simplified inputs (injury type, treatment length, and reported symptoms). They generally can’t see the things that drive outcomes in real malpractice disputes, such as:
- What the provider actually knew at each visit (and what they documented)
- Whether follow-up was ordered, completed, or missed across different facilities
- Diagnostic reasoning—for example, how symptoms were interpreted and escalated
- Causation evidence showing the injury is linked to negligence, not just coincidental timing
In Crown Point, where patients may commute between local providers and regional hospitals, cases can hinge on chart consistency: imaging results, referral notes, and whether critical findings were communicated and acted on promptly.


