In many modern healthcare settings, diagnostic decisions aren’t made in a vacuum. Automated tools may assist with:
- triage and risk scoring for urgent symptoms
- documentation and clinical decision support prompts
- imaging interpretation workflows (including software-assisted measures)
- lab result routing and flagging
The key point is not that technology is “bad”—it’s that the human duty to verify still matters. In a Prairie Village context, that often means the real-world failure shows up as something like:
- a patient is routed as “stable” or “low risk,” but symptoms were escalating
- abnormal imaging findings were not escalated promptly
- test results were delayed in review or not clearly communicated as urgent
- a clinician treated an automated suggestion as more certain than it should be
A strong claim focuses on how the care team handled the information available at the time—not just on the final diagnosis.


