In communities like Clarkston, diagnostic errors often show up in patterns we commonly see across Georgia:
- Repeat visits with “wait and see” that turn into a missed window for earlier treatment.
- Imaging and lab results not acted on quickly enough—especially when follow-up depends on a system message, phone call, or automated routing.
- Triage decisions under time pressure, where symptoms are interpreted through a risk-score lens rather than a full clinical picture.
- Communication gaps between ER, specialists, and primary care, leaving abnormal findings to fall through the cracks.
If AI or automation played a role—such as risk scoring, documentation assistance, imaging interpretation support, or workflow routing—the legal question is not whether the tool exists. It’s whether the care team used it appropriately, verified outputs, and escalated concerns when symptoms or results didn’t fit.


