Somewhat Resilient
Last Update: 5/19/2026
AI Resilience Score for Health Info Tech & Med Reg:
48.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forHealth Information Technologists and Medical Registrars
$67,310 median salary•3,200 annual openings•SOC Code: 29-9021.00
Health Information Technologists and Medical Registrars are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Health information technologists are labeled "Somewhat Resilient" because AI is genuinely changing a big chunk of their day-to-day work — tools can now automatically transcribe doctor's notes, extract diagnoses, and apply coding guidelines to straightforward cases, which means some of the routine, repetitive tasks that used to fill the workday are being handed off to machines. The good news is that complex, ambiguous cases still need a real human to review, catch errors, and talk directly with doctors to resolve conflicts — and those judgment-heavy skills are exactly what AI struggles with.
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Health information technologists are labeled "Somewhat Resilient" because AI is genuinely changing a big chunk of their day-to-day work — tools can now automatically transcribe doctor's notes, extract diagnoses, and apply coding guidelines to straightforward cases, which means some of the routine, repetitive tasks that used to fill the workday are being handed off to machines. The good news is that complex, ambiguous cases still need a real human to review, catch errors, and talk directly with doctors to resolve conflicts — and those judgment-heavy skills are exactly what AI struggles with.
Read full analysisAnalysis of Current AI Resilience
Health Info Tech & Med Reg
Updated Quarterly
How is AI changing Health Info Tech & Med Reg jobs?
If you're considering a career in health information, here's some good news: AI is mostly helping these workers right now, not replacing them. The clearest example is medical transcription, where ambient AI "scribes" listen to doctor-patient visits and draft the notes automatically — a shift industry analysts now describe as the new standard of care. For coding and records work, AI tools can parse clinical documentation, extract diagnoses and procedures, apply coding guidelines, and even identify missing or contradictory documentation.
But the same industry experts warn that AI is not a standalone solution — complex, multi-specialty encounters often exceed the reliability thresholds of current systems, documentation can be ambiguous, and AI can perpetuate errors if trained on flawed historical data. That's why most hospitals are using a "hybrid intelligence" approach where AI handles high-volume, low-complexity cases while ambiguous, complex, or risky cases get routed to human professionals for review and validation. Leaders at AHIMA say HIM teams are using AI to surface discrepancies earlier and strengthen the accuracy and integrity of health information [1], and Deloitte found that 75% of surveyed health system leaders are prioritizing agentic AI for clinical operations and revenue cycle management [2], with one health system already using AI agents to handle 40% of prior authorizations.
Sources
How fast is AI adoption growing for Health Info Tech & Med Reg?
Adoption is moving fast because the financial pressure is intense. McKinsey's 2026 outlook reports that healthcare industry EBITDA fell from 11.2% in 2019 to 8.9% in 2024 [3], pushing providers toward next-generation revenue cycle tools, decision-support analytics, and AI-assisted clinical scribing. Deloitte's survey shows long-standing roadblocks are easing — 40% of leaders say technical talent limitations are no longer a major challenge, and resistance to change has dropped too [2].
But strict rules slow things down. The American Hospital Association told HHS that AI must help address staff burnout and rising administrative burden [4], while emphasizing the need for careful regulation. AHIMA leaders stress that robust data governance is the critical factor separating successful AI deployments from failed pilots, because organizations must prove where data came from to mitigate legal liability and earn clinician trust [1].
The labor outlook is encouraging: the BLS projects 15% job growth (much faster than average) for health information technologists and medical registrars through 2034 [5]. The skills that stay valuable are uniquely human — judgment on complex cases, protecting patient privacy, and resolving coding conflicts by talking with doctors. If you build those skills alongside AI literacy, this field still has a strong future.
Sources
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More Career Info
Career: Health Information Technologists and Medical Registrars
They organize and manage medical data to ensure patient records are accurate and secure, helping doctors and nurses provide the best care.
Parent Careers
Employment & Wage Data
Median Wage
$67,310
Jobs (2024)
41,900
Growth (2024-34)
+14.7%
Annual Openings
3,200
Education
Associate's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
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.
2
Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.
3
Protect the security of medical records to ensure that confidentiality is maintained.
4
Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.
5
Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds.
6
Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts.
7
Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
