# Will medical secretaries be replaced by AI? Updated October 2026 Medical secretaries score 65 of 100 for AI exposure. The largest share of their task time, 48%, is work AI speeds up while they stay in charge. AI can take over 44% outright, and 8% stays with people. - **44%** AI can do it - **48%** AI helps - **8%** Needs a person High exposure Higher than 96% of the 923 occupations we scored. ## Task by task We graded 15 tasks, listed here from most to least exposed. AI can do 7 of them today, speeds up 7 and leaves 1 to people. | Task | AI exposure | | --- | --- | | Schedule and confirm patient diagnostic appointments, surgeries, or medical consultations. Scheduling and confirmation run well on automated tools. | 75% AI can do it | | Transcribe recorded messages or practitioners' diagnoses or recommendations into patients' medical records. Ambient scribes and speech-to-text transcribe dictation into records. | 75% AI can do it | | Compile and record medical charts, reports, or correspondence, using typewriter or personal computer. AI generates chart entries and reports from structured inputs. | 70% AI can do it | | Prepare correspondence or assist physicians or medical scientists with preparation of reports, speeches, articles, or conference proceedings. LLMs draft reports and correspondence, physicians still lead. | 70% AI helps | | Answer telephones and direct calls to appropriate staff. AI voice agents can answer and route calls today. | 65% AI can do it | [See what AI can take on across an operations team](https://www.aigentcy.com/ai-for/operations/) ## How medical secretaries compare All occupations (923) Office and administrative support (51) **Medical secretaries score 65**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 57 for office and administrative support. ## Pay and outlook in the US Median pay $45,930 a year, May 2025 People employed 961,610 in the US, May 2025 Projected change in jobs +4.8% from 2024 to 2034 ## Skills to build - Check AI-drafted insurance claim forms against chart data - Transcribe practitioner diagnoses into records with terminology accuracy - Run live patient intake interviews for case histories - Count physical supply stock and check reorders in Excel - Enter and reconcile patient billing in Henry Schein Dentrix - Route visitors and calls to the right clinical staff ## Safer roles nearby 5 related occupations with lower scores. - [Receptionists62 out of 100](https://www.aigentcy.com/ai-exposure/receptionists/) - [Office clerks60 out of 100](https://www.aigentcy.com/ai-exposure/office-clerks/) - [Medical assistants32 out of 100](https://www.aigentcy.com/ai-exposure/medical-assistants/) - [Patient representatives49 out of 100](https://www.aigentcy.com/ai-exposure/patient-representatives/) - [Medical transcriptionists63 out of 100](https://www.aigentcy.com/ai-exposure/medical-transcriptionists/) ## Questions about medical secretaries and AI Will AI replace medical secretaries? Partly. About 6 in 10 working hours go to tasks AI can already do, mostly scheduling appointments and transcribing records into charts. Patient interviews, greeting visitors, and final checks on medical records stay with people. Which medical secretary tasks is AI taking over? Transcribing diagnoses into records scores 75 for exposure, and scheduling and confirming appointments also scores 75. Ambient scribes and speech-to-text already write dictation into records, and AI voice agents answer and route calls at a score of 65. Which medical secretary tasks stay human? Greeting visitors scores 15, the lowest exposure in the job, because it needs physical presence and live interaction. Live patient interviews for case histories score 45, since digital intake forms help but an interview still needs a person to ask and listen. How can medical secretaries stay valuable? Check AI-drafted insurance claim forms against chart data before they are sent. Run live intake interviews and physical supply counts, the parts that stay manual. Use Microsoft Excel to track reorder exceptions and billing errors in Henry Schein Dentrix. ## Related jobs - [Medical coders69 out of 100](https://www.aigentcy.com/ai-exposure/medical-coders/) - [Secretaries66 out of 100](https://www.aigentcy.com/ai-exposure/secretaries/) - [Executive assistants65 out of 100](https://www.aigentcy.com/ai-exposure/executive-assistants/) - [Customer service representatives74 out of 100](https://www.aigentcy.com/ai-exposure/customer-service-representatives/) ## Next steps for medical secretaries - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.