In West Park, medical errors often don’t look like a single dramatic mistake. More often, they appear as a chain of decisions—especially when someone is seen during a busy shift, multiple visits, or a rushed handoff.
Common ways AI-influenced issues may matter in a misdiagnosis or delayed diagnosis case include:
- Triage and routing decisions: a risk score or automated screening may place a patient on the wrong track, delaying the right tests.
- Imaging or report workflows: automated prioritization can affect how quickly results are reviewed and acted on.
- Lab interpretation and follow-up: abnormal results may not be escalated promptly, or may be buried under routine updates.
- Documentation gaps: automated charting or templated notes can omit symptoms, timing, or red flags—affecting clinical reasoning.
The legal question isn’t “was AI used?” It’s whether the care team (and the system around them) met Florida’s standard of care when relying on information produced through automated or AI-assisted steps.


