In many cases, the problem isn’t that an AI “made up” a diagnosis—it’s that an automated system affected the path your care took.
For example, residents in the greater Greensburg area may encounter diagnostic delays or errors through:
- Imaging review workflows where flagged findings weren’t acted on promptly
- Triage and routing tools that down-prioritized symptoms
- Clinical decision support that suggested one pathway while alternative causes weren’t adequately verified
- Documentation assistance systems that shaped what was recorded and what was missed
- Lab or result-handling processes where abnormal findings weren’t escalated or communicated clearly
When those steps lead to a missed condition—or a delayed diagnosis—our job is to explain how the timeline matters legally and how the care team’s actions fit Pennsylvania’s standard of care.


