Medical Secretaries and Administrative Assistants
United States · BLS Employment Projections 2024–34 (figures for SOC 43-6013 occupational group)
AI exposure in published research
Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.
Data provider: OpenAI · "GPTs are GPTs"
Time basis: 2023 baselineex-ante estimate
Scored against GPT-4-generation capability.
- Human rater basis
- 61.1%
- GPT-4 rater basis
- 66.7%
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
16 rated tasks · 16 tasks with β ≥ 0.5 (100.0%)
- Version:
- gh-main-0471612
- License:
- MIT License · Copyright (c) 2024 OpenAI
Data provider: Anthropic Economic Index
Time basis: Published 2026-03-05composite index
- Observed exposure
- 36.2%
Theoretical exposure index weighted by measured Claude usage, per the original report's definition.
16 tasks · usage observed in 4 · mean 22.5%
Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex
AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
- Version:
- hf-lmi-2026-03
- License:
- CC BY 4.0
- Observation period:
- — (not applicable to this release)
- Model:
- — (not stated by the source)
- Definition source:
- https://www.anthropic.com/research/labor-market-impacts
2023 prediction vs observation-based index published 2026-03-05
One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.
Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.
The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.
The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.
These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.
Task Breakdown
- Schedule patient appointments and manage calendars
- Transcribe and process medical reports and correspondence
- Process insurance claims and billing documentation
- Maintain and update electronic health records
About This Occupation
If you work as a Medical Secretary, AI is reshaping your profession. With an automation risk of 60/100 and overall exposure at 64%, this role faces high transformation. The highest-impact area is schedule patient appointments and manage calendars at 82% automation. This is classified as an 'automate' role. BLS projects +7% growth through 2034, driven by an aging population increasing demand for healthcare services. Professionals who adapt to AI-powered EHR systems and automated scheduling will remain valuable.
ISCO-08 classification
Medical Secretaries
Definition
ILO original text (English)
Medical secretaries, using specialized knowledge of medical terminology and health care delivery procedures, assist health professionals and other workers by performing a variety of communication, documentation, administrative and internal coordination functions, to support health workers in medical facilities and other health-care related organizations.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET31-9094.00
Medical Transcriptionists
Transcribe medical reports recorded by physicians and other healthcare practitioners using various electronic devices, covering office visits, emergency room visits, diagnostic imaging studies, operations, chart reviews, and final summaries. Transcribe dictated reports and translate abbreviations into fully understandable form. Edit as necessary and return reports in either printed or electronic form for review and signature, or correction.
View original - ONET43-6013.00
Medical Secretaries and Administrative Assistants
Perform secretarial duties using specific knowledge of medical terminology and hospital, clinic, or laboratory procedures. Duties may include scheduling appointments, billing patients, and compiling and recording medical charts, reports, and correspondence.
View original
Frequently Asked Questions
The Anthropic Economic Index puts observed exposure at 36.2%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 61.1% under human raters. Both figures are reproduced from published research without modification.
They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.
Recent Changes Affecting This Occupation
Mar 2026: Brookings study identifies 831,000 medical secretaries among workers with high AI exposure and low adaptive capacity. Skills in this role have low transferability to growing occupations.
[Source: Brookings Institution — Measuring US workers capacity to adapt (2026-01)]