Maintain a current file of examination protocols.

Task automation exposure

85/100

Very high exposure

Exposure basis

[v4/median] score 85 (raw 85 | A 85 / B 85 / C 35 | modality: other) AI-driven protocol management systems can automatically ingest, parse, and update examination protocols across radiology departments, handling most of the maintenance work at professional quality. (capable: AI-powered radiology protocol management platform (e.g., LLM-based knowledge extraction integrated with RIS/PACS))

0 capabilities · 1 occupations

Basis

How exposure was assessed

Automation exposure85/100

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 Maintain a current file of examination protocols., with task importance and exposure.
Occupation	Industry	Importance	Role	Occupation AI exposure
Radiologic Technologists and Technicians	Healthcare	4/5	core	29

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.