Will AI replace medical records specialists?

Some tasks are already handled by AI or machines; the rest still needs a person. About 4h 32m of an 8-hour shift goes to tasks that AI or robots largely take over. The breakdown: 7m done by people with AI help, 4h 32m that AI mostly does alone. The other 3h 21m (42%) stays with people. Separately, BLS expects about 7.8% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 8 of 17 tasks, about 4h 39m of a typical shift. The biggest ones:

• Identify, compile, abstract, and code patient data, using standard classification systems. (1h 37m a shift, AI mostly does it alone)
• Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer. (45m a shift, AI mostly does it alone)
• Review records for completeness, accuracy, and compliance with regulations. (45m a shift, AI mostly does it alone)
• Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts. (39m a shift, AI mostly does it alone)
• Process and prepare business or government forms. (19m a shift, AI mostly does it alone)

Not in workplaces like this one, based on a 2026 review of robot deployments. 1 more task has only been done in factory setups built around the machine, so it stays with people here.

3h 21m of a typical shift, or 42%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Release information to persons or agencies according to regulations. (32m a shift)
• 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. (32m a shift)
• Post medical insurance billings. (26m a shift)
• Process patient admission or discharge documents. (26m a shift)
• Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. (19m a shift)

We track 2 sourced company moves that affect this job. Most recent:

• Jul 23, 2026: CoxHealth cuts 53 revenue cycle roles after automating coding entry (Rolling out)
• Feb 19, 2025: Cleveland Clinic rolls out Ambience AI notes to ambulatory providers (Rolling out)

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 40m for a person alone and about 20m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Schedule medical appointments for patients (about 40m alone, 20m with AI)

On Indeed, job postings in the Medical Information sector are at 89% of their February 2020 level (all U.S. postings: 104%), down 6.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 14,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $51,140 a year ($24.59 an hour), about the same as the median for all U.S. jobs ($50,980). Most people in this job earn between $37,000 and $81,150 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 7.8% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 216,000 jobs in 2035. It expects about 14,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 195,000 people in the U.S., roughly 0.13% of all workers (BLS, May 2025). That makes it the 175th largest of the 796 jobs on this site. BLS expects about 216,000 in 2035.

O*NET rates the job at level 3 of 5 for preparation, which usually means: vocational school or associate's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Get strong at the parts of the job that stay with people (listed above), which take 3h 21m of a typical shift
• Tools employers list: Microsoft Word, Microsoft Outlook, Microsoft Office software, Microsoft Excel, Epic Systems
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Medical Transcriptionists (5h 26m touched, $40k median pay)
• Health Information Technologists and Medical Registrars (3h 1m touched, $68k median pay)
• Medical Secretaries and Administrative Assistants (3h 4m touched, $46k median pay)
• Medical Assistants (19m touched, $46k median pay)
• File Clerks (1h 43m touched, $44k median pay)

Each task carries its own evidence label. For this job: 8 observed in real AI use, 9 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.