Healthcare · SOC 29-2072
Medical coding and records management are among the most directly threatened healthcare roles — AI already rivals human accuracy.
Core tasks are highly automatable — expect major disruption.
Timeline: AI-assisted coding tools (like those from 3M and Nuance) already automate 60–80% of routine coding; specialists who pivot to auditing AI output and managing compliance will remain needed, but the pure coding role is shrinking now.
Tap a skill to find courses on Coursera.
Some links are affiliate links — if you sign up or buy through them, we may earn a commission at no extra cost to you.
$67,310 median pay
$40,000 median pay
$138,110 median pay
$95,410 median pay
Healthcare
Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Medical Records Specialists is high risk on AIFear. Core tasks are highly automatable — expect major disruption.
AIFear.com
Our AI Fear Score for Medical Records Specialists is 88/100 (High risk). Core tasks are highly automatable — expect major disruption.
88 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 diagnosis-related groups (DRGs) via classification software, Compiling and maintaining structured patient records, Looking up disease classifications in coding manuals, Entering demographic and clinical data into health systems.
Lean into Healthcare compliance and auditing, Revenue cycle management, Clinical data governance, Healthcare informatics. Consider roles such as Health information manager or Clinical documentation improvement specialist or Healthcare compliance auditor.
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.