In our experience, diagnostic errors often surface through patterns that are common in suburban communities like Parkland:
- Repeat visits to urgent care or emergency departments after symptoms worsen.
- Abnormal test results that are not acted on quickly enough—or not communicated clearly.
- Handoff and follow-up gaps, especially when care is split between specialists, imaging centers, and primary providers.
- Time pressure in fast-paced settings, where clinicians must make decisions quickly while critical information is still incomplete.
When AI-enabled tools are part of the workflow—such as risk scoring, documentation assistance, or imaging triage—the problem can become more complicated. The tool may flag something as “less likely,” route a patient differently, or generate documentation that gets treated as a summary of the case rather than a starting point.
A key point for Parkland residents: the legal question is not whether technology existed—it’s whether the care team met Florida’s professional standard of care while using the information available at the time.


