Analyze and interpret patient, nursing, or information systems data to improve nursing services.
Work task
“Analyze and interpret patient, nursing, or information systems data to improve nursing services.” is a core task performed by Health Informatics Specialists. Among the occupation's 17 rated tasks, workers place it 14th by importance (#4 most important). About 100% 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.
- 0.012% share of AI-use records mapped to this task
- 71% of that use is work-related
- 93% 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.
Other tasks in this occupation
- Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques. · importance 4.8
- Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems. · importance 4.7
- Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information. · importance 4.4
- Identify, collect, record, or analyze data relevant to the nursing care of patients. · importance 4.2
- Apply knowledge of computer science, information science, nursing, and informatics theory to nursing practice, education, administration, or research, in collaboration with other health informatics specialists. · importance 4.2
- Develop, implement, or evaluate health information technology applications, tools, processes, or structures to assist nurses with data management. · importance 4.2
- Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts. · importance 4.1
- Disseminate information about nursing informatics science and practice to the profession, other health care professions, nursing students, and the public. · importance 4.0
- Analyze computer and information technologies to determine applicability to nursing practice, education, administration, and research. · importance 3.9
- Develop strategies, policies or procedures for introducing, evaluating, or modifying information technology applied to nursing practice, administration, education, or research. · importance 3.8
- Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in informatics. · importance 3.7
- Design, conduct, or provide support to nursing informatics research. · importance 3.7
- Develop or deliver training programs for health information technology, creating operating manuals as needed. · importance 3.7
- Inform local, state, national, and international health policies related to information management and communication, confidentiality and security, patient safety, infrastructure development, and economics. · importance 3.7
See all tasks on the Health Informatics Specialists 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. "Analyze and interpret patient, nursing, or information systems data to improve nursing services.." 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-18094
Singulariki. (2026). Analyze and interpret patient, nursing, or information systems data to improve nursing services.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-18094
@misc{singulariki-task-18094,
title = {Analyze and interpret patient, nursing, or information systems data to improve nursing services.},
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-18094}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.