Health information technician and medical registrar Health Information Technologists and Medical Registrars
A global AI analysis is below; pick a country for local salary, licensing and migration data.
Core tasks of Health Information Managers (clinical coding, data management) significantly threatened by AI, but strong human decision-making needed for regulatory compliance and privacy. Entry-level roles narrowing; mid-senior roles require more composite skills due to AI tools.
More exposed than about 63% of occupations (percentile; higher = more exposed to AI)
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Replaces health information managers' manual coding tasks in clinical coding by automatically identifying medical text and assigning ICD-10-AM codes, reducing manual lookup and coding errors.
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Replaces part of manual work in coding audits, DRG grouping, and compliance checks; reduces coding review time for health information managers through AI suggestions and automated validation.
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Partially replaced health information managers' work in data extraction and initial classification, automatically extracting diagnostic and procedure terms from doctor notes, but requires manual review.
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Replaces health information managers in some data governance and report generation tasks, automating data integration and quality reports, reducing manual data reconciliation.
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Partially replaces health information managers' work in data modeling and coding rule formulation, but requires technical personnel configuration and cannot fully replace professional judgment.
- Automated coding tools replace manual ICD coding, especially for structured medical records
- Data quality check report generation, AI automatically marks outliers
- Patient information entry and retrieval, AI voice and text recognition completed
- Preliminary anomaly detection in compliance monitoring, AI scanning documents
- AI-driven clinical coding recommendations and rapid review to improve coding accuracy
- AI automatically identifies sensitive information in data governance, accelerating compliance reviews
- Machine learning for patient data analysis to support hospital performance and resource management
- AI chatbot provides doctors with real-time coding queries to improve efficiency
- Human judgment in clinical coding disputes: non-standard medical records require clinical knowledge
- Privacy compliance decisions: manual investigation and reporting of data breaches
- Standard and training development: regulatory policy updates, internal process design
- Cross-departmental coordination: communicate with doctors, IT, and management to resolve data issues
- Advanced ICD-10-AM/ACHI coding skills
- Data governance framework (e.g., ISO 27001)
- AI coding tool operation and verification
- Basic data analysis with Python/R
- Privacy law compliance (e.g., HIPAA/Australian Privacy Act)
Entry-level coding and medical record entry positions decline as AI tools (e.g., assisted coding systems) automate most basic work. New entrants need to understand ICD, data governance, and AI tool usage, otherwise it's hard to find purely manual coding jobs
Shift from pure coding to data governance and analysis specialist, mastering AI coding tool operation and verification, while strengthening clinical knowledge, legal compliance, and project management skills. Can progress to Health Information Director, Chief Data Officer, or Hospital Information Management Dean, optimizing data flows with AI.
Local data by country
Ratings · Overall 6.8/10
Salary
| Experience | Annual (USD) | |
|---|---|---|
| 薪资中位数 | $68,020 ~ $68,020 | 全国全职年薪中位数（来源：美国 BLS OES 2025） |
| Entry level (0–3 years) | $45,000 ~ $60,000 | Medical data specialist or technical support |
| Mid-level (3–7 years) | $60,000 ~ $85,000 | Health information technology analyst or project manager |
| Senior (7+ years) | $85,000 ~ $120,000 | Health information director or chief information officer |
| 平均薪资 | $74,970 ~ $74,970 | 全国全职年薪均值（来源：美国 BLS OES 2025） |
Education Path
| Stage | Duration | Cost (USD) |
|---|---|---|
| Bachelor's degree | 4 years | $40,000~$120,000 |
| Master's degree | 2 years | $30,000~$80,000 |
Qualifications
| Qualification | Issuer | |
|---|---|---|
| Registered Health Information Administrator (RHIA) | American Health Information Management Association (AHIMA) | Optional |
| Certified Health Data Analyst (CHDA) | AHIMA | Optional |
| CPHIMS | HIMSS | Optional |
Migration (to United States)
| Visa | Details |
|---|---|
| H-1B H-1B Specialty Occupations | Requires bachelor's degree or higher, employer sponsorship, limited annual quota |
| EB-2 Employment-Based Second Preference | Master's degree or bachelor's plus 5 years experience, requires PERM labor certification |
| EB-3 Employment-Based Third Preference | Bachelor's degree or equivalent experience, PERM required |
Who it fits
- People with a background in both healthcare and IT
- Detail-oriented and good at data analysis
- People who want to develop steadily in the healthcare industry
- Those who dislike working with medical data
- Those hoping for quick promotion and salary increase
Career outlook
Entry-level typically starts in medical data entry or technical support, intermediate can advance to systems analyst or project manager, senior can become health information director or chief information officer (CIO).
With the spread of electronic health records (EHRs) and growth of medical data, demand for this occupation continues to rise. The US Bureau of Labor Statistics projects 16% employment growth from 2022-2032, much faster than average.
Growth areas：
Health ITElectronic Health RecordsData AnalyticsPopulation Health
FAQ
Data sources
Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, ERI SalaryExpert and the U.S. Bureau of Labor Statistics (BLS OEWS); employment and demand outlook cite the BLS Occupational Outlook and O*NET; visa and migration details follow the latest USCIS work-visa (H-1B / O-1 / L-1) and employment-based green-card (EB-2 / EB-3, incl. DOL PERM labor certification) rules. Figures are indicative only — always refer to the latest official sources.
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