AI exposure by occupation, O*NET 29-2072.00

Will AI replace Medical Records Specialists?

Medical Records Specialists: AI can already handle 7 of 17 tasks; the work mostly needs an efficient-tier model.

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Every task, scored

The 17 tasks O*NET 30.3 lists for Medical Records Specialists, from most to least exposed. 7 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer. 90 Estimated Standard 3.0
Scan patients' health records into electronic formats. 90 Estimated Efficient 3.0
Transcribe medical reports. 90 Estimated Efficient 3.0
Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts. 80 Estimated Efficient 3.0
Identify, compile, abstract, and code patient data, using standard classification systems. 80 Estimated Efficient 3.0
Review records for completeness, accuracy, and compliance with regulations. 65 Estimated Standard 3.0
Consult classification manuals to locate information about disease processes. 60 Estimated Standard 3.0
Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. 30 Estimated Efficient 3.0
Post medical insurance billings. 30 Estimated Efficient 3.0
Process and prepare business or government forms. 30 Estimated Efficient 3.0
Process patient admission or discharge documents. 30 Estimated Efficient 3.0
Release information to persons or agencies according to regulations. 30 Estimated Efficient 3.0
Retrieve patient medical records for physicians, technicians, or other medical personnel. 30 Estimated Efficient 3.0
Schedule medical appointments for patients. 30 Estimated Efficient 3.0
Maintain or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information. 20 Estimated Efficient 3.0
Protect the security of medical records to ensure that confidentiality is maintained. 20 Estimated Efficient 3.0
Resolve or clarify codes or diagnoses with conflicting, missing, or unclear information by consulting with doctors or others or by participating in the coding team's regular meetings. 10 Estimated No tier 3.0

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 17 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 17 of 17. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

An efficient-tier model or lower covers 77% of the role's importance-weighted task work. 94% of the work is something AI can address at some tier, and 6% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
194,720
Median annual wage
$51,140
Middle half of earners
$43,490 to $64,820
Projected change, 2024 to 2034
+7.1%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Medical Records Specialists and AI

Will AI replace Medical Records Specialists?

AI already handles 7 of the 17 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 48 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +7.1% from 2024 to 2034.

What is the AI exposure of Medical Records Specialists?

48 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 17 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 17 are estimated from each task's O*NET work activity.

Which Medical Records Specialists tasks can AI already do?

The tasks with the highest exposure are: Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer; Scan patients' health records into electronic formats; Transcribe medical reports. They are three of the 7 tasks that reach 60 or more.

What AI model tier does this role need?

An efficient-tier model or lower covers 77% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Medical Records Specialists, and what do they earn?

194,720 people in the United States, with a median annual wage of $51,140 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +7.1% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Medical Records Specialists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/medical-records-specialists

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