Automated tools are designed to support clinicians, not replace them. In practice, diagnostic errors can happen when:
- A system’s risk score or recommendation is treated like a conclusion instead of a prompt
- Imaging or lab outputs aren’t properly reviewed, escalated, or documented
- A tool flags “low risk,” but the patient’s symptoms require additional testing or follow-up
- Communication breaks down between departments (triage → imaging → ordering clinician → follow-up)
In a Lansing context, we often see how fast-paced workflows can lead to missed steps: a patient returns with worsening symptoms, an abnormal finding is buried in a report, or a follow-up plan isn’t clearly communicated.


