Design the arrangement of radiation fields to reduce exposure to critical patient structures, such as organs, using computers, manuals, and guides.

“Design the arrangement of radiation fields to reduce exposure to critical patient structures, such as organs, using computers, manuals, and guides.” is a task performed by Medical Dosimetrists. Among the occupation's 20 rated tasks, workers place it 20th by importance (#1 most important). About 100% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Research healthcare issues. in Getting Information
• Develop patient or client care or treatment plans. in Thinking Creatively

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.

Other tasks in this occupation

• Calculate the delivery of radiation treatment, such as the amount or extent of radiation per session, based on the prescribed course of radiation therapy. · importance 4.8
• Identify and outline bodily structures, using imaging procedures, such as x-ray, magnetic resonance imaging, computed tomography, or positron emission tomography. · importance 4.8
• Plan the use of beam modifying devices, such as compensators, shields, and wedge filters, to ensure safe and effective delivery of radiation treatment. · importance 4.8
• Calculate, or verify calculations of, prescribed radiation doses. · importance 4.8
• Develop radiation treatment plans in consultation with members of the radiation oncology team. · importance 4.7
• Supervise or perform simulations for tumor localizations, using imaging methods such as magnetic resonance imaging, computed tomography, or positron emission tomography scans. · importance 4.6
• Create and transfer reference images and localization markers for treatment delivery, using image-guided radiation therapy. · importance 4.5
• Record patient information, such as radiation doses administered, in patient records. · importance 4.3
• Develop treatment plans, and calculate doses for brachytherapy procedures. · importance 4.3
• Advise oncology team members on use of beam modifying or immobilization devices in radiation treatment plans. · importance 4.2
• Fabricate beam modifying devices, such as compensators, shields, and wedge filters. · importance 3.9
• Perform quality assurance system checks, such as calibrations, on treatment planning computers. · importance 3.9
• Fabricate patient immobilization devices, such as molds or casts, for radiation delivery. · importance 3.8
• Develop requirements for the use of patient immobilization devices and positioning aides, such as molds or casts, as part of treatment plans to ensure accurate delivery of radiation and comfort of patient. · importance 3.7

See all tasks on the Medical Dosimetrists page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-22837,
  title  = {Design the arrangement of radiation fields to reduce exposure to critical patient structures, such as organs, using computers, manuals, and guides.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-22837}
}