Medical Records and Health Information Technicians
Compile, process, and maintain medical records of hospital and clinic patients in a manner consistent with medical, administrative, ethical, legal, and regulatory requirements of the health care system. Process, maintain, compile, and report patient information for health requirements and standards in a manner consistent with the healthcare industry's numerical coding system.
AI Impact Summary
Medical Records and Health Information Technicians faces moderate AI displacement risk with a score of 48/100. This occupation has higher AI displacement risk than 96% of all analyzed occupations. Of 22 analyzed tasks, 8 are highly automatable, particularly routine cognitive tasks. Limited protective factors mean this occupation has few buffers against AI automation.
This is a general assessment. to get a score adjusted for your experience, skills, and work environment.
How AI Impacts Each Task
22 tasks analyzed
Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.
Protect the security of medical records to ensure that confidentiality is maintained.
Review records for completeness, accuracy, and compliance with regulations.
Process patient admission or discharge documents.
Transcribe medical reports.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. | 92Estimated | 86.0% | 15% | |
| Protect the security of medical records to ensure that confidentiality is maintained. | 70Estimated | 77.2% | 3% | |
| Review records for completeness, accuracy, and compliance with regulations. | 41.27Observed | 65.7% | 10% | |
| Process patient admission or discharge documents. | 90Estimated | 85.2% | 2% | |
| Transcribe medical reports. | 35.85Observed | 63.5% | 1% |
Skill Impact Analysis
6
AI-Vulnerable
11
AI-Resistant
AI-Vulnerable
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
AI-Resistant
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Recommended Courses
Courses matched to Medical Records and Health Information Technicians skill gaps, ranked by relevance to your displacement risk profile.
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Upskill to Reduce Risk
Courses addressing your most AI-vulnerable skills
SQL Fundamentals Skill Track
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AI-Augmentation Tools
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Creative Writing Specialization
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Leading People and Teams Specialization
by University of Michigan
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Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.
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Score History
PAIDSee how Medical Records and Health Information Technicians's risk score has changed over 2 scoring runs.
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Education & Training
PAIDEducation levels, experience requirements, and training data for this occupation.
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Related News
Recent articles about AI affecting this occupation
How Agentic AI Will Reshape Healthcare Administration Jobs
Agentic AI systems are moving beyond simple text generation to actively execute complex administrative tasks in healthcare. This shift targets back-office workflows, potentially displacing billing and scheduling roles while augmenting clinical staff.
Reshaping workflows – not replacing clinicians – with AI
Healthcare providers are deploying AI to handle charting and documentation rather than clinical diagnosis. The technology aims to reduce physician burnout by automating administrative burdens without threatening core medical roles.
Healthcare AI Shows Early Promise for Coders and Surgeons
Early clinical and administrative deployments are proving effective at augmenting medical staff rather than replacing them. Security leaders are emphasizing that proper governance is required before rolling these tools out to frontline workers.
Healthcare AI faces execution gap as IT teams struggle with EHR integration
A Qventus report reveals a massive execution gap in deploying generative AI in healthcare. IT departments are struggling to integrate these new tools with existing electronic health records and third-party software.
Medical practices forced to hire more admin staff as regulatory burnout peaks
A new MGMA survey reveals that mounting Medicare and prior authorization requirements are severely burning out medical groups. Instead of automating, clinics are being forced to hire additional administrative staff just to handle the paperwork.
Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis