Health information technologists
Official title Health Information Technologists and Medical Registrars (SOC 29-9021)
In brief
In May 2025, BLS counted 38,100 US health information technologists, with median pay of $68,020 a year. The earliest figure here is an estimate of 15,000 from 1950, not measured the same way as today's count. The last full technology era for health information technologists: ICD-10-CM / ICD-10-PCS, computer-assisted coding, and cloud-based EHR analytics, 2015 to 2022.
Official statistic: latest count and pay.Researched context: earliest figure.
What the sources say
Official outlook
BLS projects employment to grow 15.9% from 2025 to 2035.
BLS Employment Projections 2025-35
Official statistic
AI exposure studies
- 53.1% of this job's tasks are exposed to large language models. Not a forecast of job losses. Eloundou and others, 2023 Official statistic
Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35.
Last updated .
Cite this page
Future History. (2026, October 31). Health information technologists: jobs and pay since 1950 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/29-9021
Future History. "Health information technologists: jobs and pay since 1950." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 31, 2026. https://futurehistory.earth/timeline/29-9021.
@misc{futurehistory_29_9021, author = {{Future History}}, title = {Health information technologists: jobs and pay since 1950}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/29-9021}}, note = {Last updated 2026-10-31. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }
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≈ $66,276 in 2024 prices (derived by us, CPI-adjusted)
The American College of Surgeons adopts its Minimum Standard for hospitals on December 20, 1919. The one-page document lists five requirements for ACS accreditation; one is that "accurate and complete case records be written for all patients and filed in an accessible manner." This single sentence is the regulatory root of the entire medical record profession: it created an institutional obligation that required someone to fulfil it.
At the American College of Surgeons' Clinical Congress in Boston, Grace Whiting Myers and a group of hospital record clerks formally constitute the Association of Record Librarians of North America (ARLNA). Myers, who had been managing records at Massachusetts General Hospital since at least 1912, becomes the inaugural president. The new organisation's stated aim is to "elevate the standards of clinical records in hospitals and other medical institutions." A physician, Matthew Foley, reportedly urged the women to act: "If you do not organize now, you perhaps never will."
ARLNA awards the first Registered Record Librarian (RRL) credential, establishing the first formal qualification for the profession. The credentialing exam, launched with a $1.50 examination fee in 1932, was the first step toward professionalising what had been essentially a clerical function. The RRL designation would persist until 1978, when it was renamed Registered Record Administrator (RRA) to reflect the increasing managerial and analytical scope of the role.
The American Association of Medical Record Librarians creates the Accredited Record Technician (ART) credential, establishing a two-tier professional structure: the administrator-level RRL (requiring a four-year programme) and the technician-level ART (requiring a two-year associate programme). The ART was specifically designed to address the growing volume of coding and records work that hospitals faced under Medicare and Medicaid in the years ahead, creating a pipeline of trained technicians below the administrator tier. By the 1980s the ART would be the de facto hiring requirement for hospital coding positions.
The United States mandates the use of ICD-9-CM (the Clinical Modification of the World Health Organisation's 9th revision of the International Classification of Diseases) for all Medicare and Medicaid claims from 1979 onward. The Clinical Modification, developed by the National Center for Health Statistics, expanded the WHO ICD-9 to include codes for diagnoses, conditions, and injuries at the specificity required for US hospital billing. Every Medicare and Medicaid claim must now include an ICD-9-CM diagnosis code. This is the moment that transformed clinical coding from a statistical function into a reimbursement-critical one, and it tied hospital revenue directly to the accuracy of the medical record department for the first time.
Congress amends the Social Security Act in April 1983 to implement a Medicare Inpatient Prospective Payment System (IPPS) based on Diagnosis-Related Groups (DRGs), effective October 1983. Under the new system, Medicare pays hospitals a single predetermined rate for each admission based on the DRG assigned from the patient's coded diagnoses and procedures. The financial stakes of accurate coding become acute: misclassification of the principal diagnosis can shift a case from one DRG to another and alter reimbursement by thousands of dollars. Early DRG audits find coding error rates of approximately 20%; the pattern of errors favours hospitals in roughly 62% of cases. The DRG era is the single biggest driver of health information employment growth in the twentieth century.
The American Medical Record Association renames itself the American Health Information Management Association (AHIMA), dropping the word "record" to signal the profession's shift from custodian of paper files to manager of health information systems. The name change coincides with the profession's engagement with early hospital information systems and the emerging argument that health information management is a distinct clinical-informatics discipline, not simply medical filing.
AHIMA retires the RRA (Registered Record Administrator) and ART (Accredited Record Technician) credentials that had defined the profession since 1933 and 1953 respectively, replacing them with RHIA (Registered Health Information Administrator) and RHIT (Registered Health Information Technician). The new names explicitly embed "Health Information" rather than "Record," signalling the profession's transition from paper custodian to electronic data manager. The credential renewal also introduces continuing education requirements, reflecting the accelerating pace of change in healthcare information systems.
President Obama signs the American Recovery and Reinvestment Act on February 17, 2009. Title XIII, the HITECH Act, authorises approximately $25.9 billion in financial incentives for hospitals and physicians to adopt and demonstrate "meaningful use" of certified EHR systems. The legislation creates the Office of the National Coordinator for Health Information Technology and funds 62 Regional Extension Centers nationwide to assist providers with EHR implementation. By 2015, the programme achieves a 96% EHR adoption rate among hospitals. The HITECH implementation wave is the largest single deployment of technology the health information profession has ever managed, requiring years of configuration, training, data migration, and workflow redesign work.
On October 1, 2015, the United States completes its transition from ICD-9-CM to ICD-10-CM/PCS for diagnosis and inpatient procedure coding, the change having been delayed multiple times from its original 2011 target date. ICD-10-CM contains approximately 68,000 diagnostic codes, compared to ICD-9-CM's 13,000, and ICD-10-PCS contains roughly 87,000 procedure codes. Every hospital, physician practice, and payer must recode their entire clinical and billing infrastructure. AHIMA estimated that the transition required an average of 50 hours of additional training per coder. The changeover is completed without the productivity collapse that had been widely forecast, in part because of years of industry preparation.
The Bureau of Labor Statistics introduces SOC code 29-9021 (Health Information Technologists and Medical Registrars) with the 2018 Standard Occupational Classification revision, splitting the former 29-2071 (Medical Records and Health Information Technicians) into two codes. The new 29-9021 covers the higher-tier analyst, informaticist, and registrar functions; 29-2072 (Medical Records Specialists) covers routine coding and records management. The split reflects a genuine bifurcation in the workforce: one tier doing clinical data analysis, system design, and compliance governance; another doing production coding and records processing. AMIA had advocated for a dedicated health informatics SOC code for over a decade.
Will AI replace health information technologists? What the research says
Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.
Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.
- BLS Employment Projections 2025-35Target year 2035
- Eloundou et al. (2023), "GPTs are GPTs"2023 study · Share of tasks exposed to LLMs (β, human-rated)53.1%of tasks
What's changing day to day for health information technologists
Three parts of your work where AI is already doing real lifting, and what stays yours.
AI is sitting alongside you here Assign the patient to diagnosis-related groups (DRGs)…
, using appropriate computer software.[2]
AI is sitting alongside you here Compile medical care and census data for statistical reports…
on diseases treated, surgery performed, or use of hospital beds.[2]
AI is sitting alongside you here Design databases to support healthcare applications…
, ensuring security, performance and reliability.[2]
How has the work of health information technologists changed since 1912?
The tools that defined the work, one line per era. Select an era to see how it reshaped the work.
Paper charts, card index systems, and disease indices
For the first four decades of the profession, every medical record was a paper document: handwritten physician notes, typed discharge summaries, nursing observations, lab slips. The medical record librarian's primary tools were card files and ledger books: a disease index (listing all patients by diagnosis), an operation index (by procedure type), and a physician index (by attending clinician). Records were filed in folders in a terminal-digit filing system to distribute retrieval traffic evenly across the stacks. Retrieving a chart for a readmission or a researcher meant a physical walk to the shelves. The ICD system, which the United States adopted in codified form beginning with the 1949 ICD-6 revision, provided the first standardised vocabulary for the disease index, though not yet for billing.
Medicare and Medicaid documentation requirements (microfilm, early mainframes)
The Social Security Amendments of 1965, which created Medicare and Medicaid, transformed the medical record from a clinical document into a financial instrument. For the first time, a hospital's reimbursement depended directly on the accuracy and completeness of the records its medical record department produced. The profession grew rapidly in the late 1960s and 1970s in response. Microfilm became the storage medium of choice for completed records, reducing physical space requirements. Large teaching hospitals began experimenting with mainframe-based master patient index systems in the 1970s, but most medical record departments remained paper-and-microfilm shops. The 1979 federal mandate to use ICD-9-CM (the Clinical Modification developed specifically for US billing) for all Medicare and Medicaid claims was the first requirement that every hospital employ credentialed coders capable of translating physician documentation into standardised diagnostic and procedure codes.
Effect on the workThe Medicare and Medicaid reimbursement link created a direct financial incentive for hospitals to invest in credentialed medical record professionals. AHIMA membership grew substantially through the 1970s; the Accredited Record Technician (ART) credential, created in 1953, became a hiring requirement at many hospitals.
Diagnosis-Related Groups and encoder software (Medicare Prospective Payment System)
When Congress amended the Social Security Act in April 1983 to replace cost-based Medicare hospital reimbursement with a fixed-rate Diagnosis-Related Group (DRG) system, the financial stakes of accurate coding became acute. A hospital was now paid a single predetermined rate for each Medicare admission based on the DRG assigned by the coder, regardless of actual costs. An incorrect principal diagnosis or a missed secondary condition could mean tens of thousands of dollars in underpayment or, if codes were inflated, potential fraud liability. Health information departments acquired dedicated encoder software, first running on DOS and later on early Windows systems, that prompted coders through the ICD-9-CM decision trees and automatically assigned DRGs.
Effect on the workThe DRG era was the single biggest driver of HIM employment growth in the profession's history. Hospitals hired coders aggressively from 1983 onward; the ART credential became near-mandatory for hospital coding positions. The profession's financial leverage in the hospital grew substantially, as a proficient coder could legitimately recover millions in underpayment annually by capturing all documented secondary diagnoses and complications.
Enterprise Electronic Health Record systems (Epic, Cerner, HITECH mandate 2009)
The Health Information Technology for Economic and Clinical Health (HITECH) Act, signed into law on February 17, 2009 as Title XIII of the American Recovery and Reinvestment Act, allocated approximately $25.9 billion to drive adoption of certified electronic health record systems by US hospitals and physicians. By 2015, 96% of hospitals and most office-based physician practices were using EHR systems. For health information professionals, EHR adoption was both a professional windfall and a job-content revolution. The transition required enormous human effort: every hospital needed staff to configure EHR templates, map legacy paper codes to electronic equivalents, train clinicians, validate data migration, and implement the new coding workflows within the system. The ICD-10-CM transition, which the US completed on October 1, 2015, tripling the number of available diagnostic codes from roughly 13,000 (ICD-9-CM) to 68,000 (ICD-10-CM), required years of coder education and created a temporary wave of additional hiring to manage the changeover.
Effect on the workBLS OEWS data for the predecessor code 29-2071 shows the workforce growing between 2010 and the mid-2010s as EHR implementation and ICD-10 transition drove demand. The 2018 SOC revision that split the category into 29-9021 (technologists) and 29-2072 (specialists) makes longitudinal comparison difficult.
ICD-10-CM / ICD-10-PCS, computer-assisted coding (CAC), and cloud-based EHR analytics
The October 2015 US transition to ICD-10-CM (diagnoses) and ICD-10-PCS (inpatient procedures) was the largest single structural change in clinical coding since the 1983 DRG system. The new code set was five times larger than ICD-9-CM and introduced greater specificity in laterality, encounter type, and clinical detail. Early computer-assisted coding (CAC) tools, using rule-based natural language processing to suggest ICD codes from physician note text, became a standard feature of major EHR vendor platforms. CAC did not replace coders: it served as a first-pass suggestion engine that a human coder reviewed, accepted, rejected, or modified. The practical effect was to shift coder time from routine lookups toward complex multi-condition cases and query management. Cloud-based analytics platforms from vendors including Health Catalyst, Optum, and millions of gave health information departments access to population-level data analysis tools, expanding the role toward outcomes reporting and quality metrics.
Generative AI clinical documentation and autonomous coding assistants (ambient scribes, LLM-assisted coding)
Ambient AI scribes, combining automated speech recognition and generative large language models, have emerged as the most disruptive near-term technology for health information professionals. These tools listen to patient-physician conversations and draft structured clinical notes automatically, reducing the quality and quantity of physician documentation that coders work from. In parallel, AI coding assistants have moved beyond the rule-based CAC of the 2010s toward LLM-based systems that claim fully autonomous ICD and CPT code assignment. The honest picture as of 2026 is that LLM-based coding systems achieve below 50% exact-match accuracy in studies using complex inpatient cases, compared to trained human coders who achieve 80-98% accuracy depending on case complexity. The hybrid model, AI as a triage and first-pass engine with human review of low-confidence and high-complexity cases, is the mainstream enterprise approach. The net employment effect through 2034 remains positive: the BLS projects growth for 29-9021, citing the continued expansion of digital health data that requires governance, quality assurance, and compliance oversight that AI systems cannot yet provide without human validation.
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Browse all rolesHealth Information Technologists and Medical Registrars employment and pay by year
View all 8 years of cited US data, each linked to its source
| Year | US employment | Annual pay (median unless marked) | Source | Report |
|---|---|---|---|---|
| 1950 | 15,000 | n/a | Est., AHIMA[1] Researched context | Report |
| 1980 | 40,000 | $11,000 (average) | Est., BLS Occupational Outlook Handbook[2] Researched context | Report |
| 1995 | 95,000 | n/a | Est., BLS Occupational Outlook Handbook[3] Researched context | Report |
| 2021 | 37,900 | $55,560 | BLS OEWS May 2021[4] Official statistic | Report |
| 2022 | 35,500 | $58,250 | BLS OEWS May 2022[4] Official statistic | Report |
| 2023 | 34,430 | $62,990 | BLS OEWS May 2023[4] Official statistic | Report |
| 2024 | 37,620 | $67,310 | BLS OEWS May 2024[4] Official statistic | Report |
| 2025 | 38,100 | $68,020 | BLS OEWS May 2025[4] Official statistic | Report |