AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Physical 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

    Update rehab plans with the care team

    Use an agent to gather the latest patient notes, response-to-treatment details, and comments from the care team into one draft update for the rehab plan.

  2. 2

    Draft guidance for home exercises and check understanding

    Use an agent to turn your home exercise instructions, precautions, and discharge notes into a simple take-home summary for the patient and family.

  3. 3

    Plan discharge and follow-up care

    Use an agent to compile discharge notes, home instructions, referral details, and any follow-up contacts into a clean transition packet.

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O*NET-SOC 29-1123.00 · #595 of 923

Result context

How to read this result

Assess, plan, organize, and participate in rehabilitative programs that improve mobility, relieve pain, increase strength, and improve or correct disabling conditions resulting from disease or injury.

National position
#595 of 923 occupations
Top 65% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Limited · 63/100
Meaningful work covered
39%

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

Update rehab plans with the care team

How you could use an agent

Use an agent to gather the latest patient notes, response-to-treatment details, and comments from the care team into one draft update for the rehab plan. It can help you compare goals, list who is responsible for each part, and format the chart note so you can quickly confirm the plan is consistent before it is filed.

Where you stay involved

You review the draft, decide what changes belong in the plan, speak with the patient or other clinicians when needed, and sign off on the final chart entry.

Review level: High

2

Draft guidance for home exercises and check understanding

How you could use an agent

Use an agent to turn your home exercise instructions, precautions, and discharge notes into a simple take-home summary for the patient and family. It can pull together exercise names, positioning tips, activity limits, and follow-up reminders so you can teach from one clear handout and document what was covered.

Where you stay involved

You demonstrate the exercises, watch the patient or caregiver try them, decide whether they understand them well enough, and adjust the plan if they do not.

Review level: Medium

3

Plan discharge and follow-up care

How you could use an agent

Use an agent to compile discharge notes, home instructions, referral details, and any follow-up contacts into a clean transition packet. It can help you check that the patient goals are documented, list home care steps, and draft the chart note so you can confirm the patient is ready to leave formal therapy.

Where you stay involved

You decide whether the goals have truly been met, explain the home plan, arrange any referrals or follow-up care, and approve the discharge note.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Limited

Underlying methodology score

55 / 100

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

Importance & frequency87
AI capability74
Digital actionability56
End-to-end leverage48
Safety & reversibility47
Meaningful-work coverage
39%
Physical-work modifier
Moderate
Safety modifier
Material
Qualitative judgment
No material constraint
O*NET task evidence
24 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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