In and around East Lansing, medical systems frequently face time pressure—think peak clinic hours, back-to-back appointments, and hospital workflows that have to keep up with high patient volume.
Diagnostic errors may show up as:
- Delayed follow-up after abnormal test results (especially when symptoms fluctuate or patients are told to “watch and wait”).
- Misread imaging or lab trends when results are available but not clearly communicated.
- Triage decisions made too quickly when symptoms are initially non-specific.
- Automated documentation or clinical decision support being treated as “good enough” instead of independently verified.
- Loss of continuity when a patient moves between providers (campus clinics, local urgent care, and emergency departments).
And when AI or automated tools are part of the workflow—risk scoring, intake prompts, imaging support, or charting assistance—the question becomes less “was AI wrong?” and more whether the care team handled machine-assisted outputs responsibly under the standard of care.


