AI Automation Index

Will AI Replace Patient Representatives?

Task-level automation exposure for Patient Representatives: 13 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified

Developed & audited by Gini Loh

Automation Exposure

61% weighted task index

13 of 13 tasks scored

Median Salary

$50,290 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

182,610 people hold this job — size, not growth

Projected 2025–35

+5.9% employment change

12,400 openings a year · BLS line item

Pay by state

BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$35,330 – $80,520

Highest medians

Wyoming $80,520

Delaware $78,650

Virgin Islands $72,450

Washington $62,090

Maine $61,490

Lowest medians

Puerto Rico $35,330

Mississippi $39,010

Louisiana $39,730

Arkansas $42,820

Alabama $43,600

State figures come from the 29-2099 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 61%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 61%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 14%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 12/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

13 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 63%

8 tasks

Medium exposure (≥ 35%) 23%

3 tasks

Low exposure (below 35%) 14%

2 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Emerging & rewritten tasks

Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.

New 08/2026 · Occupational Expert

Develop and review patient care plans.

Constituent Tasks

#17668 · Core · 45% automatable

Coordinate communication between patients, family members, medical staff, administrative staff, or regulatory agencies.

interpersonal — Operational coordination requires live human orchestration

Coordinate operational activities.

#17670 · Core · 30% automatable

Interview patients or their representatives to identify problems relating to care.

interpersonal — Live interviewing is human relational work

Interview employees, customers, or others to collect information.

#17678 · Core · 78% automatable

Maintain knowledge of community services and resources available to patients.

information retrieval — AI curates updates; human maintains working knowledge

Maintain current knowledge related to work activities.

#17671 · Core · 70% automatable

Refer patients to appropriate health care services or resources.

decision support — Routing referrals from criteria; human confirms fit

Refer customers to appropriate personnel.

#17667 · Core · 62% automatable

Explain policies, procedures, or services to patients using medical or administrative knowledge.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures.

#17677 · Core · 78% automatable

Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field.

information retrieval — AI curates updates; human maintains working knowledge

Maintain current knowledge related to work activities.

#17673 · Core · 75% automatable

Collect and report data on topics, such as patient encounters or inter-institutional problems, making recommendations for change when appropriate.

text generation — Technical reports drafted; human verifies content

Prepare research or technical reports.

#17669 · Core · 70% automatable

Investigate and direct patient inquiries or complaints to appropriate medical staff members and follow up to ensure satisfactory resolution.

decision support — Routing referrals from criteria; human confirms fit

Refer customers to appropriate personnel.

#17672 · Core · 78% automatable

Analyze patients' abilities to pay to determine charges on a sliding scale.

data analysis — Financial analysis from given data; human reviews

Analyze financial information.

#17676 · Core · 72% automatable

Identify and share research, recommendations, or other information regarding legal liabilities, risk management, or quality of care.

text generation — Providing routine information to coworkers is text-based

Provide information to coworkers.

#17674 · Core · 56% automatable

Develop and distribute newsletters, brochures, or other printed materials to share information with patients or medical staff.

text generation — Prepare reference materials from source content

Prepare informational or reference materials. Distribute materials to employees or customers.

#17679 · Core · 40% automatable

Provide consultation or training to volunteers or staff on topics, such as guest relations, patients' rights, or medical issues.

interpersonal — General personnel training is human-led and relational

Train personnel.

#17675 · Supplemental · 30% automatable

Teach patients to use home health care equipment.

interpersonal — Hands-on adaptive skill teaching with real people

Teach basic living or other adaptive skills to patients or caregivers. Instruct patients in the use of assistive equipment.

Embed this calculator on your site ↓

Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.

<div class="giniloh-calculator-embed" data-calculator="patient-representatives"></div>
<script src="https://giniloh.com/embed.js" async></script>

Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

Best AI Proof Jobs in a Changing Market

Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.

Read Article ->