In many cases, an “AI misdiagnosis” isn’t about a piece of software acting alone. More often, the issue is how the tool’s output was used—whether it was treated as definitive, whether clinicians were given enough context, and whether abnormal results triggered the right escalation.
For East Rockaway residents, this often shows up in scenarios like:
- Imaging and radiology workflows where reports are generated quickly and follow-up may rely on automated flags.
- Triage systems used to route patients to the “right” level of care, potentially delaying specialist evaluation.
- Documentation assistance and risk scoring that shapes what gets ordered (or what gets deprioritized).
A lawyer’s job is to translate what happened in the chart into a legally relevant timeline—so the claim doesn’t get reduced to “the diagnosis was later corrected.”


