Spécialistes des Dossiers Médicaux
SantéExposition à l'IA
- Source des données: BLSPublié: '26.08
Très élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: '26.03
0.667
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: '25
0.52
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 15% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Tâches exposées uniquement| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Transcribe medical reports.29-2071 | 0.009821.0 | 0.016512.7 |
Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts.29-2071 | 0.008919.1 | 0.015311.8 |
Review records for completeness, accuracy, and compliance with regulations.29-2071 | 0.006614.1 | 0.036228.0 |
Identify, compile, abstract, and code patient data, using standard classification systems.29-2071 | 0.006012.8 | 0.030323.4 |
Retrieve patient medical records for physicians, technicians, or other medical personnel.29-2071 | 0.00439.2 | 0.013710.6 |
Process and prepare business or government forms.29-2071 | 0.00439.2 | 0.00836.4 |
Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users.29-2071 | 0.00347.3 | 0.00262.0 |
Train medical records staff.29-2071 | 0.00183.9 | —0 |
Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.29-2071 | 0.00163.4 | 0.00262.0 |
Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer. | —0 | 0.00403.1 |
| Not observed on any surface — 10 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Protect the security of medical records to ensure that confidentiality is maintained. | —0 | —0 |
Process patient admission or discharge documents. | —0 | —0 |
Release information to persons or agencies according to regulations. | —0 | —0 |
Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department. | —0 | —0 |
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. | —0 | —0 |
Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. | —0 | —0 |
Post medical insurance billings. | —0 | —0 |
Consult classification manuals to locate information about disease processes. | —0 | —0 |
Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds. | —0 | —0 |
Develop in-service educational materials. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.O*NET Task ID 22877 | 1.0 |
Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer.O*NET Task ID 22880 | 1.0 |
Process and prepare business or government forms.O*NET Task ID 22884 | 1.0 |
Transcribe medical reports.O*NET Task ID 22893 | 1.0 |
Compile and maintain patients' medical records to document condition and treatment and to provide data for research or cost control and care improvement efforts.O*NET Task ID 22878 | 0.5 |
Consult classification manuals to locate information about disease processes.O*NET Task ID 22879 | 0.5 |
Identify, compile, abstract, and code patient data, using standard classification systems.O*NET Task ID 22881 | 0.5 |
Maintain or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.O*NET Task ID 22882 | 0.5 |
Post medical insurance billings.O*NET Task ID 22883 | 0.5 |
Process patient admission or discharge documents.O*NET Task ID 22885 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Évolutions récentes concernant ce métier
avr. 2026: ATE 0.36 by 2026 in SF Bay Tier 1 — the earliest crossover within healthcare support category. By 2030, 57.9% of healthcare support occupations in Tier 1 cross moderate-risk threshold.
[Source: arXiv 2604.00186 (Gupta & Kumar, 2026)]mars 2026: Published blog post: highest-risk healthcare support role. Automation risk 62%, medical coding 70% automated.
[Source: AI Changing Work Blog]