Career card

Medical Records Specialists

Also called: Health Information Clerk, Medical Coder, Medical Records Clerk, Medical Records Technician (Medical Records Tech)

Compile, process, and maintain medical records of hospital and clinic patients in a manner consistent with medical, administrative, ethical, legal, and regulatory requirements of the healthcare system. Classify medical and healthcare concepts, including diagnosis, procedures, medical services, and equipment, into the healthcare industry's numerical coding system. Includes medical coders.

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Median pay BLS, 2025$51,140
Openings a year BLS, 2025–3514,000
Typical education to start BLSPostsecondary nondegree award
AI exposure BLS, Aug 2026 Very high
Projected job growth BLS, 2025–35 +7.8%

What the data says: AI could halve the time on 14 of its 16 tasks, yet jobs are projected to grow 7.8% by 2035. In the most exposed occupations, the squeeze shows up first among early-career workers. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 2.0% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 5.0 hires for every 10 job openings in health care and social assistance, which employs about 64% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 36% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$42k$72knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$43,810$36,160 to $52,0402,330
Alaska$61,090$51,050 to $72,8001,070
Arizona$47,630$40,150 to $61,3503,750
Arkansas$41,740$36,550 to $51,4401,920
California$61,810$49,000 to $80,63018,700
Colorado$59,020$49,280 to $68,1401,780
Connecticut$60,940$48,750 to $76,1601,120
Delaware$56,060$42,690 to $67,160610
District of Columbia$72,040$55,750 to $99,060270
Florida$45,760$37,390 to $59,23021,490
Georgia$51,550$43,810 to $64,8405,930
Guam$38,470$35,330 to $44,81070
Hawaii$63,180$50,670 to $77,970400
Idaho$53,460$46,450 to $64,4701,490
Illinois$56,440$46,290 to $64,3605,740
Indiana$47,670$40,060 to $60,8205,860
Iowa$50,640$44,500 to $61,9202,250
Kansas$48,160$40,860 to $59,1302,030
Kentucky$48,410$40,570 to $61,7204,210
Louisiana$44,610$36,830 to $61,1502,600
Maine$52,090$46,330 to $61,7901,000
Maryland$54,220$44,210 to $65,7702,440
Massachusetts$60,350$48,170 to $74,7003,500
Michigan$48,120$41,370 to $61,4704,890
Minnesota$61,530$49,690 to $70,0703,150
Mississippi$41,500$34,730 to $50,5002,310
Missouri$50,750$46,000 to $63,1503,890
Montana$50,190$43,970 to $59,770820
Nebraska$51,670$44,610 to $62,9601,640
Nevada$50,300$40,370 to $65,1602,350
New Hampshire$49,210$44,090 to $61,050930
New Jersey$50,240$35,640 to $64,7004,450
New Mexico$57,470$43,470 to $66,2401,400
New York$61,720$49,010 to $79,1209,080
North Carolina$49,620$41,490 to $64,8006,760
North Dakota$46,280$40,330 to $60,860520
Ohio$50,990$45,500 to $63,5107,440
Oklahoma$53,460$41,200 to $61,1102,480
Oregon$59,000$49,180 to $70,6102,560
Pennsylvania$46,840$42,690 to $60,5106,970
Puerto Rico$27,990$23,020 to $39,6801,850
Rhode Island$63,960$51,040 to $70,910650
South Carolina$54,280$45,180 to $62,6502,750
South Dakota$51,610$44,860 to $63,130900
Tennessee$48,780$40,840 to $62,9304,440
Texas$48,860$39,470 to $63,97017,210
Utah$52,870$42,040 to $65,3601,910
Vermont$57,560$47,340 to $62,590not published
Virginia$53,290$45,200 to $64,9504,630
Washington$62,270$50,250 to $79,6805,010
West Virginia$47,360$38,090 to $59,9501,260
Wisconsin$60,280$49,510 to $66,1402,870
Wyoming$54,210$42,770 to $65,800280

Nationally: $51,140. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 14 of its 16 tasks

4 · AI alone could halve the time 10 · AI + software built on it could 2 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
AI + software Protect the security of medical records to ensure that confidentiality is maintained. Not published
AI + software Review records for completeness, accuracy, and compliance with regulations. Not published
AI alone Release information to persons or agencies according to regulations. Not published
AI alone Retrieve patient medical records for physicians, technicians, or other medical personnel. Not published
AI + software Scan patients' health records into electronic formats. Not published
AI + software Maintain or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information. Not published
See all 16 tasks
AI + software Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer. Not published
AI + software Process patient admission or discharge documents. Not published
AI + software Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts. Not published
Not much Identify, compile, abstract, and code patient data, using standard classification systems. Not published
AI + software Process and prepare business or government forms. Not published
Not much 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. Not published
AI + software Consult classification manuals to locate information about disease processes. under 0.01%
AI alone Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. Not published
AI alone Transcribe medical reports. Not published
AI + software Schedule medical appointments for patients. under 0.01%

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 2 of the 16 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 16 tasks fall under 10 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up14 of 16 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most3 of 10 activities
  • #4 Maintain current knowledge in area of expertise
  • #30 Perform administrative or clerical activities
  • #35 Process digital or online data
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Perform administrative or clerical activities 58#30 25#44
Process digital or online data 50#35 73#23
Maintain health or medical records 0.18#302 0.03#291
Maintain current knowledge in area of expertise 408#4 247#8
Coordinate with others to resolve problems 14#75 5.59#81
Maintain safety or security 9.38#93 16#51
Schedule appointments 4.62#132 1.13#160
Collect information about patients or clients 3.53#155 4.48#98
Show all 10 activities
Monitor operations to ensure compliance with regulations or standards 2.67#176 4.32#99
Prepare health or medical documents 1.79#207 0.55#195
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Maintain health or medical records” holds 2 tasks rated AI + software, yet people asked AI for help with it in 0.18 of every 10,000 conversations, #302 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • A document or report27%
  • An explanation or answer18%
  • Data or a spreadsheet7%
  • A script or snippet6%
  • An analysis or summary5%

How they worked with Claude

75% handed the task off25% worked on it together

60% of these conversations were about work. Anthropic Economic Index, May 2026.

How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for medical records specialists specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Medical records specialists: +7.8%Medical Records SpecialistsAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Medical records specialists: +7.8%Medical Records Specialists

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 216,387 moves out

  1. 1 Medical and Health Services Managers High +24.2% 5%
  2. 2 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  3. 3 Management Analysts Very high +10.1% 4%
  4. 4 Registered Nurses High +5.6% 4%
  5. 5 Customer Service Representatives Very high -5.3% 4%

Where people moved in from

of 196,467 moves in

  1. 1 Customer Service Representatives Very high -5.3% 6%
  2. 2 Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Very high -6.0% 4%
  3. 3 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 3%
  4. 4 Medical and Health Services Managers High +24.2% 3%
  5. 5 Registered Nurses High +5.6% 3%

The resume data uses 2010 occupation codes. This occupation comes from “Medical Records and Health Information Technicians”, which today also includes “Health Information Technologists and Medical Registrars”, so these figures cover it too. Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

Census survey (American Community Survey)

  • 2% less than high school
  • 22% high school
  • 28% some college
  • 25% associate's
  • 18% bachelor's
  • 4% master's
  • 1% professional degree
  • 1% doctorate

Census ACS 2024, all workers in this occupation · 1,965 people surveyed.

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in this occupation

Programs that prepare people for it (NCES)
4 programs, such as Health Information/Medical Records Administration/Administrator, Health Information/Medical Records Technology/Technician and Medical Insurance Coding Specialist/Coder.
See all
  • Health Information/Medical Records Administration/Administrator
  • Health Information/Medical Records Technology/Technician
  • Medical Insurance Coding Specialist/Coder
  • Disease Registry Data Management

Jobs that require a credential BLS Occupational Requirements Survey 2023

26.6% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license4.2%19.1%
a certification16.2%5.8%
an educational certificate5.6%2.8%

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS · Brynjolfsson, Chandar and Chen, Stanford (Aug 2026)

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