San Juan patients often interact with healthcare systems under real-time pressure: urgent symptoms, repeat visits, and busy clinic workflows that prioritize speed. That environment can make certain failures more likely, including:
- Repeat visits without escalation when symptoms persist or worsen
- Abnormal results not acted on promptly (or not acted on at all)
- Handoff gaps between triage, imaging, lab, and the treating provider
- Over-reliance on automated summaries instead of independent clinical evaluation
If an AI-assisted workflow was involved—whether it suggested a likely condition, routed the case, or flagged risk—liability often turns on how the care team treated that information: Was it treated as advisory? Was it checked against objective findings? Were limitations documented and accounted for?


