AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Phlebotomists

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

    Collect blood samples and label specimens

    Use an agent to prepare the collection paperwork from the requisition, your patient notes, and the tube labels, then draft the specimen log after the draw.

  2. 2

    Send lab results to the physician

    Use an agent to draft the message or chart note that sends completed lab results to the physician, using the patient record, order number, and result status.

  3. 3

    Collect special samples and record screening

    Use an agent to prepare the collection and screening note for special samples, based on the order, your collection details, and the test result.

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O*NET-SOC 31-9097.00 · #512 of 923

Result context

How to read this result

Draw blood for tests, transfusions, donations, or research. May explain the procedure to patients and assist in the recovery of patients with adverse reactions.

National position
#512 of 923 occupations
Top 56% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Moderate · 65/100
Meaningful work covered
49%

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

Collect blood samples and label specimens

How you could use an agent

Use an agent to prepare the collection paperwork from the requisition, your patient notes, and the tube labels, then draft the specimen log after the draw. It can help line up the order, label details, and transport record so the sample is documented from collection to the lab.

Where you stay involved

You confirm the patient’s identity, perform the draw, check that the labels match the requisition, and make sure the specimen is handed off correctly and safely.

Review level: High

2

Send lab results to the physician

How you could use an agent

Use an agent to draft the message or chart note that sends completed lab results to the physician, using the patient record, order number, and result status. It can format the communication, log who received it, and flag whether anything still needs follow-up from the lab.

Where you stay involved

You confirm the result belongs to the right patient and order, decide who is allowed to receive it, and send or approve the communication before it is recorded.

Review level: High

3

Collect special samples and record screening

How you could use an agent

Use an agent to prepare the collection and screening note for special samples, based on the order, your collection details, and the test result. It can organize the patient record, specimen type, and screening entry so the sample is ready for the next professional review.

Where you stay involved

You confirm the correct collection method was used, watch for anything that needs to be reported right away, and decide whether the sample can move forward or needs a licensed clinician’s review.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Limited

Underlying methodology score

59 / 100

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

Importance & frequency90
AI capability75
Digital actionability64
End-to-end leverage48
Safety & reversibility49
Meaningful-work coverage
49%
Physical-work modifier
Limited
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
23 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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