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Analyze patient data to determine patient needs or treatment goals.

Detailed work activity

Analyze patient data to determine patient needs or treatment goals. is a detailed work activity in O*NET — a concrete unit of work shared across 23 occupations and seen in 35 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 35 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 30 (86%) 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 7 of these tasks, with a mean mapped-usage share of 0.008% 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.

Occupations that perform this

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 16 occupations in occupations that perform Analyze patient data to determine patient needs or treatment goals.. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Nursing Assistants Paramedics Dentists, General Art Therapists Athletic Trainers Radiologic Technologists and Technicians Occupational Therapists Dietetic Technicians Dietitians and Nutritionists Genetic Counselors AI task-overlap percentile → ↑ Median pay
Occupations that perform Analyze patient data to determine patient needs or treatment goals., by AI task-overlap and median pay

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.

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

Cite this page
Plain

Singulariki. "Analyze patient data to determine patient needs or treatment goals.." Singulariki: a source-backed encyclopedia of work. Built from 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. https://singulariki.com/detailed-activities/analyze-patient-data-to-determine-patient-needs-or-treatment-goals

APA

Singulariki. (2026). Analyze patient data to determine patient needs or treatment goals.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/analyze-patient-data-to-determine-patient-needs-or-treatment-goals

BibTeX
@misc{singulariki-analyze-patient-data-to-determine-patient-needs-or-treatment-goals,
  title  = {Analyze patient data to determine patient needs or treatment goals.},
  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-patient-data-to-determine-patient-needs-or-treatment-goals}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.