Modern clinical workflows may include software that assists with triage, imaging review, lab interpretation, documentation, or clinical decision support. The problem isn’t simply that technology exists—it’s how it’s used.
In practice, errors can surface when:
- A tool’s risk flag or “most likely” diagnosis is treated as close to definitive.
- Abnormal results are summarized or routed in a way that slows escalation.
- Imaging or lab findings aren’t reconciled with the patient’s reported symptoms.
- Documentation generated or structured by automated workflows is incomplete or misleading.
- Follow-up instructions are unclear, leaving abnormal findings to “fall through the cracks.”
In Cedar City and throughout Utah, these failures often show up as a timeline issue: the correct direction wasn’t taken early enough, or the system didn’t prompt the right human verification at the right time.


