Challenge the AI output
Sign in to save your workCareAssist AI produced the outputs below. They are fictional and deliberately imperfect. An output is not evidence that the result is valid.
Ask how many of the most urgent patients are under-triaged, which patients they are, and what happens when a nurse does not review in time.
| Case | Model confidence | Suggested category | Simulated AI rationale | What later emerged |
|---|---|---|---|---|
| Patient AWoman, 58, jaw pain and nausea | Category 4 | Dental or minor pain keywords; no chest pain; stable presentation assumed. | Heart attack. Upgraded to category 1 after 2 hours 40 minutes. | |
| Patient BMan, 24, chest pain after exercise | Category 2 | Chest pain with palpitations. | Muscle strain. Over-triaged, which used capacity but caused no harm to him. | |
| Patient CWoman, 81, new confusion | Category 3 | Non-specific confusion; low-confidence suggestion. | Sepsis. A nurse upgraded her after 40 minutes because the daughter insisted. | |
| Patient DWoman, 31, limited English | Category 4 | Abdominal pain without red-flag keywords. | Ectopic pregnancy. Upgraded after she collapsed in the waiting room. | |
| Patient EChild, 3, fever and rash | Category 3 | Fever with rash in a child; moderate urgency. | Suspected meningitis. A nurse recognised it and escalated after 20 minutes. |
Your assessment
I would not rely on these outputs without… / I would investigate first…
What do the errors have in common? What could be causing them?
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