Healthcare · SOC 29-9021
Health informatics and medical coding are among healthcare's most AI-vulnerable functions as NLP and AI coders mature rapidly.
Core tasks are highly automatable — expect major disruption.
Timeline: AI-driven clinical coding and data abstraction tools are already in production at major health systems; the path forward for health information professionals is overseeing AI systems rather than replacing them in coding work, within 3–5 years.
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$50,250 median pay
$40,000 median pay
$138,110 median pay
$95,410 median pay
Healthcare
AI job-risk card
Health Information Technologists and Medical Registrars is high risk on AIFear. Core tasks are highly automatable — expect major disruption.
AIFear.com
Our AI Fear Score for Health Information Technologists and Medical Registrars is 82/100 (High risk). Core tasks are highly automatable — expect major disruption.
82 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Assigning patients to DRGs using classification software, Abstracting and coding patient data in standard systems, Designing healthcare databases and evaluation criteria, Evaluating and recommending system upgrades.
Lean into Healthcare data governance, Clinical informatics and system design, Regulatory compliance and auditing, AI oversight in healthcare coding. Consider roles such as Health informatics director or Clinical data scientist or Healthcare compliance officer.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.