Somewhat Resilient

Last Update: 5/19/2026

AI Resilience Score for Health Info Tech & Med Reg:

48.4%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
High

Contributing sources

AI Resilience Report forHealth Information Technologists and Medical Registrars

$67,310 median salary3,200 annual openingsSOC 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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This role is somewhat resilient

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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Analysis of Current AI Resilience

Health Info Tech & Med Reg

Updated Quarterly

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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.

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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.

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

72% ResilienceSupplemental

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

70% ResilienceSupplemental

Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.

3

65% ResilienceCore Task

Protect the security of medical records to ensure that confidentiality is maintained.

4

62% ResilienceSupplemental

Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.

5

55% ResilienceSupplemental

Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds.

6

45% ResilienceSupplemental

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

40% ResilienceSupplemental

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.

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