Many diagnostic mistakes don’t come from a single moment—they develop through the chain of care. In cases involving automated systems (clinical decision support, imaging flags, triage algorithms, or documentation tools), harm may occur when:
- A system flags a likely condition but clinicians treat it as more certain than it is.
- Abnormal results are routed incorrectly (or not routed at all), especially when multiple providers are involved.
- Imaging or lab reports are reviewed under time pressure, and a missed detail delays the right diagnosis.
- Triage tools influence where you’re sent (ER vs. urgent care vs. outpatient), affecting how quickly a full workup happens.
In Florence, those delays can be compounded by practical realities—limited appointment availability, repeat visits, and the need to coordinate between facilities and specialists.
A lawyer’s job isn’t to argue that “AI caused everything.” It’s to investigate how the care team used the information—including what they should have questioned, verified, or escalated.


