Code, evaluate, or interpret collected study data.

“Code, evaluate, or interpret collected study data.” is a core task performed by Clinical Research Coordinators. Among the occupation's 33 rated tasks, workers place it 19th by importance (#15 most important). About 72% 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.

• Analyze data to improve operations. in Analyzing Data or Information
• Process digital or online data. in Working with Computers

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task 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 1.00. Automation potential label: T3.

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.

• 0.028% share of AI-use records mapped to this task
• 75% of that use is work-related
• Most common interaction: directive
• Average autonomy of the AI: 2.7 (1–5; higher = more autonomous)
• 96% 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

Other tasks in this occupation

• Schedule subjects for appointments, procedures, or inpatient stays as required by study protocols. · importance 4.5
• Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performing electrocardiograms. · importance 4.4
• Prepare study-related documentation, such as protocol worksheets, procedural manuals, adverse event reports, institutional review board documents, or progress reports. · importance 4.4
• Assess eligibility of potential subjects through methods such as screening interviews, reviews of medical records, or discussions with physicians and nurses. · importance 4.4
• Inform patients or caregivers about study aspects and outcomes to be expected. · importance 4.4
• Record adverse event and side effect data and confer with investigators regarding the reporting of events to oversight agencies. · importance 4.3
• Monitor study activities to ensure compliance with protocols and with all relevant local, federal, and state regulatory and institutional polices. · importance 4.3
• Oversee subject enrollment to ensure that informed consent is properly obtained and documented. · importance 4.3
• Maintain required records of study activity including case report forms, drug dispensation records, or regulatory forms. · importance 4.3
• Dispense medical devices or drugs, and calculate dosages and provide instructions as necessary. · importance 4.3
• Identify protocol problems, inform investigators of problems, or assist in problem resolution efforts, such as protocol revisions. · importance 4.3
• Review proposed study protocols to evaluate factors such as sample collection processes, data management plans, or potential subject risks. · importance 4.2
• Collaborate with investigators to prepare presentations or reports of clinical study procedures, results, and conclusions. · importance 4.1
• Track enrollment status of subjects and document dropout information such as dropout causes and subject contact efforts. · importance 4.1

See all tasks on the Clinical Research Coordinators 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.

@misc{singulariki-task-15609,
  title  = {Code, evaluate, or interpret collected study data.},
  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-15609}
}