In many cases, the error isn’t that “AI made a decision.” Instead, automated or machine-assisted steps can shape the information a clinician sees—then human judgment is expected to confirm it.
Common Fate-area scenarios include:
- Imaging review delays (CT/MRI/radiology reports queued during high patient volume)
- Automated lab workflows that speed results but still require correct interpretation and follow-up
- Clinical decision support / risk tools that highlight a likely condition while alternative diagnoses still must be considered
- Triage routing where symptoms are categorized quickly—then reclassification happens too late
Legally, the key question is whether the care team met the Texas standard of care for the patient’s presentation—including how they used (and verified) any automated outputs.


