When people say “AI misdiagnosis,” they’re usually referring to a diagnostic failure that involved some type of automation-assisted workflow—for example:
- automated triage or symptom sorting
- clinical decision support or risk prediction tools
- imaging or lab workflow tools that flag or route results
- documentation systems that influence what gets emphasized in the chart
But the legal question isn’t whether a tool “made a mistake.” It’s whether the care team met Pennsylvania’s standard of care while using the information available at the time.
In West Chester, a common pattern we see in case reviews is that the chart reads “reasonable” on its face—until you examine the sequence: what the patient reported, what abnormal results showed, what was ordered next, and whether follow-up was appropriate. If automation shaped the interpretation or delayed escalation, that can become part of the negligence analysis.


