AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Radiation Therapists

Limited

AI agents could help with a focused set of planning and documentation tasks, while hands-on work and judgment remain human-led.

Where agents can help most

  1. 1

    Check treatment records and match doses

    Use an agent to collect the prescription, machine settings, treatment notes, and dose figures for each session into one clean record.

  2. 2

    Explain treatment care to patients and families

    Use an agent to draft patient education sheets from the physician’s instructions, treatment notes, and common after-care language you already use.

  3. 3

    Plan follow-up visits and next treatment

    Use an agent to combine today’s treatment notes, side-effect checks, and scheduling details into a follow-up summary for the next visit.

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O*NET-SOC 29-1124.00 · #539 of 923

Result context

How to read this result

Provide radiation therapy to patients as prescribed by a radiation oncologist according to established practices and standards. Duties may include reviewing prescription and diagnosis; acting as liaison with physician and supportive care personnel; preparing equipment, such as immobilization, treatment, and protection devices; and maintaining records, reports, and files. May assist in dosimetry procedures and tumor localization.

National position
#539 of 923 occupations
Top 59% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Limited · 62/100
Meaningful work covered
68%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Check treatment records and match doses

How you could use an agent

Use an agent to collect the prescription, machine settings, treatment notes, and dose figures for each session into one clean record. It can compare the delivered dose with the plan, draft the chart entry, and flag any mismatch between the machine readout and the treatment record for your review.

Where you stay involved

You check the treatment details, confirm the dose and settings are correct, and decide whether any mismatch needs to go to the physicist or physician before the next session.

Review level: High

2

Explain treatment care to patients and families

How you could use an agent

Use an agent to draft patient education sheets from the physician’s instructions, treatment notes, and common after-care language you already use. It can organize what to say about side effects, physical help during the visit, and when to call the care team, then save your final version for the chart.

Where you stay involved

You explain the treatment in plain language, answer routine questions, watch how the patient and family respond, and refer complex medical questions or worsening symptoms to the physician or support staff.

Review level: Medium

3

Plan follow-up visits and next treatment

How you could use an agent

Use an agent to combine today’s treatment notes, side-effect checks, and scheduling details into a follow-up summary for the next visit. It can draft the next appointment reminder, list any instructions you want the patient to remember, and keep the record of reactions and follow-up care together.

Where you stay involved

You decide whether the patient is ready for the next step, review any new symptoms, and escalate problems that need physician attention before closing the visit.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Limited

Underlying methodology score

58 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency86
AI capability64
Digital actionability64
End-to-end leverage49
Safety & reversibility46
Meaningful-work coverage
68%
Physical-work modifier
Moderate
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
22 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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