Assistentes Medicos
SaúdeExposição à IA
- Fonte dos dados: BLSPublicado: 2026-08
Moderado· relativa
BaixoQuatro faixas relativasMuito altoValor por grupo ocupacional
Escala, base e fonte
Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)
831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda
- Fonte dos dados: AnthropicPublicado: 2026-03
0.048
0.000Intervalo dos valores aqui apresentados0.745Escala, base e fonte
Índice de exposição observada, 0–1 tal como publicado
Mapeado sobre tarefas O*NET
- Fonte dos dados: ILOPublicado: 2025
0.35
0.09Intervalo dos valores aqui apresentados0.70Valor por grupo ocupacional
Escala, base e fonte
Índice de exposição à IA generativa, 0–1 tal como publicado
Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor
Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 61% atingem ou superam este valor.
Que tipo de valor esta fonte publica
A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.
Task-level exposure
Apenas tarefas expostas| Task | Claude.aiRaw / share % |
|---|---|
Explain treatment procedures, medications, diets, or physicians' instructions to patients.31-9092 | 0.002958.3 |
Change dressings on wounds.31-9092 | 0.002141.7 |
| Not observed on any surface — 18 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. | |
Interview patients to obtain medical information and measure their vital signs, weight, and height. | —0 |
Show patients to examination rooms and prepare them for the physician. | —0 |
Record patients' medical history, vital statistics, or information such as test results in medical records. | —0 |
Prepare and administer medications as directed by a physician. | —0 |
Collect blood, tissue, or other laboratory specimens, log the specimens, and prepare them for testing. | —0 |
Help physicians examine and treat patients, handing them instruments or materials or performing such tasks as giving injections or removing sutures. | —0 |
Authorize drug refills and provide prescription information to pharmacies. | —0 |
Prepare treatment rooms for patient examinations, keeping the rooms neat and clean. | —0 |
Clean and sterilize instruments and dispose of contaminated supplies. | —0 |
Schedule appointments for patients. | —0 |
Greet and log in patients arriving at office or clinic. | —0 |
Contact medical facilities or departments to schedule patients for tests or admission. | —0 |
Perform general office duties, such as answering telephones, taking dictation, or completing insurance forms. | —0 |
Inventory and order medical, lab, or office supplies or equipment. | —0 |
Perform routine laboratory tests and sample analyses. | —0 |
Operate x-ray, electrocardiogram (EKG), or other equipment to administer routine diagnostic tests. | —0 |
Set up medical laboratory equipment. | —0 |
Keep financial records or perform other bookkeeping duties, such as handling credit or collections or mailing monthly statements to patients. | —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 |
|---|---|
Record patients' medical history, vital statistics, or information such as test results in medical records.O*NET Task ID 2026 | 1.0 |
Authorize drug refills and provide prescription information to pharmacies.O*NET Task ID 2031 | 1.0 |
Perform general office duties, such as answering telephones, taking dictation, or completing insurance forms.O*NET Task ID 2038 | 1.0 |
Keep financial records or perform other bookkeeping duties, such as handling credit or collections or mailing monthly statements to patients.O*NET Task ID 2042 | 1.0 |
Interview patients to obtain medical information and measure their vital signs, weight, and height.O*NET Task ID 2024 | 0.5 |
Explain treatment procedures, medications, diets, or physicians' instructions to patients.O*NET Task ID 2029 | 0.5 |
Schedule appointments for patients.O*NET Task ID 2034 | 0.5 |
Greet and log in patients arriving at office or clinic.O*NET Task ID 2036 | 0.5 |
Contact medical facilities or departments to schedule patients for tests or admission.O*NET Task ID 2037 | 0.5 |
Inventory and order medical, lab, or office supplies or equipment.O*NET Task ID 2039 | 0.5 |
Show patients to examination rooms and prepare them for the physician.O*NET Task ID 2025 | 0.0 |
Prepare and administer medications as directed by a physician.O*NET Task ID 2027 | 0.0 |
Collect blood, tissue, or other laboratory specimens, log the specimens, and prepare them for testing.O*NET Task ID 2028 | 0.0 |
Help physicians examine and treat patients, handing them instruments or materials or performing such tasks as giving injections or removing sutures.O*NET Task ID 2030 | 0.0 |
Prepare treatment rooms for patient examinations, keeping the rooms neat and clean.O*NET Task ID 2032 | 0.0 |
Clean and sterilize instruments and dispose of contaminated supplies.O*NET Task ID 2033 | 0.0 |
Change dressings on wounds.O*NET Task ID 2035 | 0.0 |
Perform routine laboratory tests and sample analyses.O*NET Task ID 2040 | 0.0 |
Set up medical laboratory equipment.O*NET Task ID 2041 | 0.0 |
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