Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.
Work task
“Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.” is a core task performed by Allergists and Immunologists. Among the occupation's 16 rated tasks, workers place it 10th by importance (#7 most important). About 99% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.
How AI is actually used on this kind of task
The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.
- 0.020% share of AI-use records mapped to this task
- 26% of that use is work-related
- Most common interaction: learning
- Average autonomy of the AI: 3.7 (1–5; higher = more autonomous)
- 81% of interactions still needed a human in the loop
Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.
Working with AI vs. handing it off
Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.
How people interact with AI on this task
| Interaction pattern | Share | % | What it means |
|---|---|---|---|
| learning | 35% | you ask AI to explain or teach you | |
| directive | 28% | you give the instruction; AI produces a finished result | |
| task iteration | 26% | you and AI go back and forth on the work | |
| feedback loop | 6% | AI does it, then adjusts from your feedback |
Other tasks in this occupation
- Diagnose or treat allergic or immunologic conditions. · importance 4.8
- Order or perform diagnostic tests such as skin pricks and intradermal, patch, or delayed hypersensitivity tests. · importance 4.8
- Educate patients about diagnoses, prognoses, or treatments. · importance 4.8
- Prescribe medication such as antihistamines, antibiotics, and nasal, oral, topical, or inhaled glucocorticosteroids. · importance 4.8
- Interpret diagnostic test results to make appropriate differential diagnoses. · importance 4.8
- Document patients' medical histories. · importance 4.8
- Provide therapies, such as allergen immunotherapy or immunoglobin therapy, to treat immune conditions. · importance 4.7
- Conduct physical examinations of patients. · importance 4.6
- Assess the risks and benefits of therapies for allergic and immunologic disorders. · importance 4.5
- Coordinate the care of patients with other health care professionals or support staff. · importance 4.3
- Perform allergen provocation tests such as nasal, conjunctival, bronchial, oral, food, or medication challenges. · importance 4.2
- Engage in self-directed learning and continuing education activities. · importance 4.1
- Provide allergy or immunology consultation or education to physicians or other health care providers. · importance 3.9
- Conduct laboratory or clinical research on allergy or immunology topics. · importance 3.6
See all tasks on the Allergists and Immunologists page.
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.
Cite this page
Singulariki. "Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.." 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/tasks/task-17071
Singulariki. (2026). Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-17071
@misc{singulariki-task-17071,
title = {Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of 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/tasks/task-17071}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.