Design databases to support healthcare applications, ensuring security, performance and reliability.
Work task
“Design databases to support healthcare applications, ensuring security, performance and reliability.” is a task performed by Health Information Technologists and Medical Registrars. Among the occupation's 16 rated tasks, workers place it 14th by importance (#3 most important).
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 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: T2.
Other tasks in this occupation
- Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software.
- Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds.
- Develop in-service educational materials.
- Evaluate and recommend upgrades or improvements to existing computerized healthcare systems.
- Facilitate and promote activities, such as lunches, seminars, or tours, to foster healthcare information privacy or security awareness within the organization.
- Identify, compile, abstract, and code patient data, using standard classification systems.
- Manage the department or supervise clerical workers, directing or controlling activities of personnel in the medical records department.
- Monitor changes in legislation and accreditation standards that affect information security or privacy in the computerized healthcare system.
- Plan, develop, maintain, or operate a variety of health record indexes or storage and retrieval systems to collect, classify, store, or analyze information.
- Prepare statistical reports, narrative reports, or graphic presentations of information, such as tumor registry data for use by hospital staff, researchers, or other users.
- Protect the security of medical records to ensure that confidentiality is maintained.
- Resolve or clarify codes or diagnoses with conflicting, missing, or unclear information by consulting with doctors or others or by participating in the coding team's regular meetings.
- Retrieve patient medical records for physicians, technicians, or other medical personnel.
- Train medical records staff.
See all tasks on the Health Information Technologists and Medical Registrars 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
- “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. "Design databases to support healthcare applications, ensuring security, performance and reliability.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-22896
Singulariki. (2026). Design databases to support healthcare applications, ensuring security, performance and reliability.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-22896
@misc{singulariki-task-22896,
title = {Design databases to support healthcare applications, ensuring security, performance and reliability.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-22896}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.