Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They organize and manage patients' health information, ensuring it is accurate and secure so doctors and nurses can provide the best care.
Summary
The career of a Medical Records Specialist is labeled as "Evolving" because many tasks like coding and data entry are increasingly being automated by AI tools, which can make these processes faster and more accurate. However, while AI is handling more of the routine work, there's still a need for people to make important decisions, solve complex issues, and ensure legal compliance, especially with patient privacy laws.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of a Medical Records Specialist is labeled as "Evolving" because many tasks like coding and data entry are increasingly being automated by AI tools, which can make these processes faster and more accurate. However, while AI is handling more of the routine work, there's still a need for people to make important decisions, solve complex issues, and ensure legal compliance, especially with patient privacy laws.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Medical Records Spec.
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Today, many medical records tasks use computers but still need people. For example, hospitals now keep digital charts. Specialists “gather patients’ medical histories” and enter them into electronic records [1].
This means simple tasks like finding a file have been partly sped up by search tools and scanners. However, we found no evidence of fully AI-run systems that retrieve or process admissions automatically. Each hospital has its own forms and rules, so these jobs usually use computer forms or clerks to check details.
Some core work is being helped by AI. In coding, for example, computer-assisted tools use AI to suggest billing codes from notes. Researchers note that AI can make coding “more accurate and efficient” [2].
Such tools have been “used in US hospitals for a number of years” alongside human coders [2]. But they aren’t perfect – people still resolve unclear diagnoses and ensure everything adds up [2] [2]. Similarly, software can flag missing data or privacy issues, but experts say specialists must still review records carefully [2].
Finally, protecting privacy remains a human-led job. Laws like HIPAA require strict record security [2]. Computers help encrypt and log access, but staff train to keep files confidential and fix any errors.

AI Adoption
Hospitals weigh many factors before using more AI. Available tools do exist – for example, there are AI programs for coding or data entry – but buying and fitting them into a hospital’s old systems can cost a lot. Healthcare organizations often move slowly because they must follow privacy laws closely [2] and be sure AI is safe.
On the other hand, hospitals do hire many records specialists (jobs in this field are expected to grow faster than average [1]), so reducing staff needs isn’t an urgent must. In the end, experts say people skills still matter. Machines can handle boring data work, but human judgment is needed for tricky cases and legal rules [2] [2].
This means records specialists who learn to work with AI – checking and improving its results – will stay in demand. Overall, while AI tools are slowly arriving (for example in coding and data checks [2] [2]), hospitals are careful adopters. The good news is that technology will likely free specialists to focus on more interesting work, making the job safer and smarter rather than replacing it entirely.

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Median Wage
$50,250
Jobs (2024)
194,800
Growth (2024-34)
+7.1%
Annual Openings
14,200
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Protect the security of medical records to ensure that confidentiality is maintained.
Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.
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.
Review records for completeness, accuracy, and compliance with regulations.
Release information to persons or agencies according to regulations.
Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.
Train medical records staff.
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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