AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Ophthalmic Medical Technicians

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Prepare patients for eye exams

    Use an agent to gather the patient’s medical history, current eye complaints, medications, and prior exam notes from the chart, then draft a pre-exam checklist and populate the basic measurements you take at intake.

  2. 2

    Measure eyes and verify lens power

    Use an agent to compile keratometer, ophthalmometer, axial-length, and lensometer readings from your notes or device exports into one measurement sheet, then compare repeated readings and highlight mismatches or gaps.

  3. 3

    Test eye movement and depth perception

    Use an agent to turn your ocular motility and depth-perception test notes into a standardized chart entry, with prompts for laterality, patient cooperation, and any unusual response you saw during testing.

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O*NET-SOC 29-2057.00 · #349 of 923

Result context

How to read this result

Assist ophthalmologists by performing ophthalmic clinical functions. May administer eye exams, administer eye medications, and instruct the patient in care and use of corrective lenses.

National position
#349 of 923 occupations
Top 38% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Moderate · 73/100
Meaningful work covered
51%

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

Prepare patients for eye exams

How you could use an agent

Use an agent to gather the patient’s medical history, current eye complaints, medications, and prior exam notes from the chart, then draft a pre-exam checklist and populate the basic measurements you take at intake. It can also compare what you entered with the record so the ophthalmologist gets a clean, complete handoff.

Where you stay involved

You review any missing or conflicting history, confirm the patient’s answers, perform the eye tests and measurements yourself, and decide what needs immediate attention before the physician sees the patient.

Review level: High

2

Measure eyes and verify lens power

How you could use an agent

Use an agent to compile keratometer, ophthalmometer, axial-length, and lensometer readings from your notes or device exports into one measurement sheet, then compare repeated readings and highlight mismatches or gaps. It can also label the results by patient and encounter so the clinician has a tidy record to review.

Where you stay involved

You decide whether a reading needs to be repeated, check that each number belongs to the right patient and lens, and call the supervising clinician when the measurements do not line up or seem off.

Review level: Medium

3

Test eye movement and depth perception

How you could use an agent

Use an agent to turn your ocular motility and depth-perception test notes into a standardized chart entry, with prompts for laterality, patient cooperation, and any unusual response you saw during testing. It can also help you spot inconsistent entries so you can repeat the test items that need a second look.

Where you stay involved

You perform the tests, watch how the patient responds, decide whether a test should be repeated, and bring anything unexpected to the supervising clinician’s attention.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

66 / 100

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

Importance & frequency91
AI capability79
Digital actionability73
End-to-end leverage64
Safety & reversibility60
Meaningful-work coverage
51%
Physical-work modifier
Limited
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
20 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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