“AI misdiagnosis” isn’t just a headline—it can show up as part of a broader care workflow. For example, a patient’s evaluation may be influenced by:
- Clinical decision support prompts (risk scores, suggested diagnoses, or “watchful waiting” recommendations)
- Imaging workflow software that flags or deprioritizes findings
- Lab interpretation tools that affect how abnormal results are routed or communicated
- Triage and intake systems that determine urgency, consults, or follow-up timing
The important point for Moss Point residents: even if software suggested a possibility, clinicians still have a duty to verify, correlate with objective findings, and communicate clearly. When that verification fails—or when an abnormal result doesn’t trigger timely action—the delay or error can become legally relevant.


