Health Professionals Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Health Professionals Not Elsewhere Classified (ISCO-08 2269) score an average of 0.20 on a 0–1 exposure scale — more exposed than about 32% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Evaluating and documenting patients' progress through treatment plans, and referring patients and families to medical doctors or other health care providers for specialized, rehabilitative or other care services as needed;”

Scores 0.29 on the 2025 scale. The task of evaluating and documenting patients' progress through treatment plans and referring them to healthcare providers involves a blend of administrative and clinical judgment skills. Generative AI can assist in aggregating patient data and suggesting potential documentation templates or referral options based on set criteria. However, the nuanced understanding of patient complexities, individual progress evaluation, and personalized treatment adaptation require significant human expertise and direct observation, which AI cannot fully replicate. Semantically similar tasks, such as "Referring for necessary specialist consultations" and "Diagnosing for the purpose of developing a therapy/treatment plan," have adjusted scores of 0.28 and 0.35, reflecting their reliance on human judgment and the limited automation potential. Given the task's reliance on clinical assessment and decision-making, yet acknowledging the AI potential for supporting documentation, an adjusted score of 0.27 is appropriate. This assessment factors in Poland's technology infrastructure, facilitating AI's supportive but not standalone role in such healthcare tasks.

Moving fastest, 2023 → 2025

“Planning and implementing therapeutic programmes on an individual and group basis for improving and maintaining physical, cognitive, emotional and social functioning, including through the use of arts and crafts, dance and movement, music and other recreational activities;”

Model capability on this task changed by +0.15 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 2269, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• Occupational Therapists
• Low Vision Therapists, Orientation and Mobility Specialists, and Vision Rehabilitation Therapists
• Chiropractors
• Therapists, All Other
• Art Therapists
• Music Therapists
• Recreational Therapists
• Podiatrists

In context

Part of the 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Health Professionals Not Elsewhere Classified sit at the 32nd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Health Professionals Not Elsewhere Classified rank in the 32nd percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Evaluating and documenting patients' progress through treatment plans, and referring patients and families to medical doctors or other health care providers for specialized, rehabilitative or other care services as needed;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Health Professionals Not Elsewhere Classified". https://singulariki.com/gradient/2269-health-professionals-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.