Analyze quantitative data to determine effectiveness of treatments or therapies.

Analyze quantitative data to determine effectiveness of treatments or therapies. is a detailed work activity in O*NET — a concrete unit of work shared across 6 occupations and seen in 7 occupation-specific tasks. It rolls up into the broader work activity Analyze health or medical data. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 7 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 3 of these tasks, with a mean mapped-usage share of 0.015% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Interpret exercise program participant data to evaluate progress or identify needed program changes. · Exercise Physiologists · importance 4.7 · exposure with tools
• Evaluate nursing intervention outcomes, conferring with other healthcare team members as necessary. · Licensed Practical and Licensed Vocational Nurses · importance 4.3 · exposure with tools
• Evaluate the effectiveness of prescribed risk reduction measures or other interventions. · Preventive Medicine Physicians · importance 4.2 · exposure with tools
• Review and evaluate treatment procedures and outcomes of other psychiatrists or medical professionals. · Psychiatrists · importance 3.7 · exposure with tools
• Analyze data to determine the effectiveness of specific treatments or therapy approaches. · Music Therapists · importance 3.7 · exposure with tools
• Analyze data to determine the effectiveness of treatments or therapy approaches. · Art Therapists · importance 3.6 · exposure with tools
• Compile and evaluate clinical practice statistics. · Midwives · importance 3.5 · exposure with tools

Occupations that perform this

• Exercise Physiologists
• Licensed Practical and Licensed Vocational Nurses
• Preventive Medicine Physicians
• Psychiatrists
• Music Therapists
• Midwives

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-analyze-quantitative-data-to-determine-effectiveness-of-treatments-or-therapies,
  title  = {Analyze quantitative data to determine effectiveness of treatments or therapies.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/analyze-quantitative-data-to-determine-effectiveness-of-treatments-or-therapies}
}