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A/KAI Kills What?

Task // O*NET task

Very low exposure · 1 occupations · 0 evidence

Provide assistance in dressing or changing seriously ill or injured patients or patients with disabilities.

Provide assistance in dressing or changing seriously ill or injured patients or patients with disabilities.

Task automation exposure

5/100

Very low exposure

Exposure basis

[v4/median] score 5 (raw 5 | A 5 / B 5 / C 5 | modality: physical_primary) Dressing and changing patients requires physical presence and manual dexterity; robotic patient‑handling systems are not widely deployed in typical healthcare settings. (capable: None - human-led)

0 capabilities · 1 occupations

Basis

How exposure was assessed

[v4/median] score 5 (raw 5 | A 5 / B 5 / C 5 | modality: physical_primary) Dressing and changing patients requires physical presence and manual dexterity; robotic patient‑handling systems are not widely deployed in typical healthcare settings. (capable: None - human-led)

Automation exposure5/100

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 Provide assistance in dressing or changing seriously ill or injured patients or patients with disabilities., with task importance and exposure.
OccupationIndustryImportanceRoleOccupation AI exposure
Radiologic Technologists and TechniciansHealthcare4/5core8

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.