In a smaller community, people may end up coordinating care through a mix of providers—sometimes with limited appointment availability, urgent referrals, or repeated follow-ups that happen because symptoms persist. That can create a common pattern:
- A misdiagnosis or delayed diagnosis that worsens while patients are trying to get seen
- Post-operative complications that require extra visits but may be documented inconsistently
- Medication or monitoring issues that show up after discharge, when follow-up is harder to schedule
- Gaps in records when care involves multiple clinics or facilities
When you’re dealing with that kind of disruption, an AI tool can feel like a shortcut to clarity. Still, AI can’t verify the details that California courts and insurers care about most—especially causation and standard of care.


