Even when clinicians use technology responsibly, errors can occur when automated outputs are treated as more certain than they really are. In Newark-area care settings, common “AI-involved” pathways include:
- Imaging and radiology workflow issues (missed findings, delayed reads, or inconsistent communication of abnormal results)
- Triage and risk scoring that routes patients to the wrong level of urgency
- Clinical decision support that flags possibilities but isn’t verified against the full record
- Lab result interpretation and documentation assistance that fails to trigger timely follow-up
The key legal question isn’t whether a tool exists—it’s whether the care team and the system responded appropriately to the information available at the time.


