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A/KAI Kills What?

Task // O*NET task

Very low exposure · 1 occupations · 0 evidence

Administer blood and blood product transfusions or intravenous infusions, monitoring patients for adverse reactions.

Administer blood and blood product transfusions or intravenous infusions, monitoring patients for adverse reactions.

Task automation exposure

8/100

Very low exposure

Exposure basis

[v4/median] score 8 (raw 8 | A 8 / B 5 / C 10 | modality: physical_primary) Only peripheral automation (smart infusion pumps, monitoring alerts) exists; the core physical insertion and reaction assessment still require a human nurse. (capable: None - human-led)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 8 (raw 8 | A 8 / B 5 / C 10 | modality: physical_primary) Only peripheral automation (smart infusion pumps, monitoring alerts) exists; the core physical insertion and reaction assessment still require a human nurse. (capable: None - human-led)

Automation exposure8/100

How much of this task's output current AI can produce or substantially assist.

Strongest applicable capability0/100

Best current model strength on any capability this task requires.

This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.

Occupations

Occupations that perform this task (1)

Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.

Occupations performing Administer blood and blood product transfusions or intravenous infusions, monitoring patients for adverse reactions., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Clinical Nurse SpecialistsHealthcare4.5/5core7

Evidence

Evidence (0)

No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.