Clean medical equipment or facilities.

Clean medical equipment or facilities. is a detailed work activity in O*NET — a concrete unit of work shared across 12 occupations and seen in 14 occupation-specific tasks. It rolls up into the broader work activity Clean medical equipment or facilities. in Performing General Physical Activities .

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 14 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 0 (0%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

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.

• Set up, clean, and maintain laboratory equipment. · Medical and Clinical Laboratory Technologists · importance 4.7 · no direct exposure
• Wash and sterilize equipment, using germicides and sterilizers. · Surgical Technologists · importance 4.7 · no direct exposure
• Set up, maintain, calibrate, clean, and test sterility of medical laboratory equipment. · Medical and Clinical Laboratory Technicians · importance 4.7 · no direct exposure
• Clean and restock operating room, gathering and placing equipment and supplies and arranging instruments according to instructions, such as a preference card. · Surgical Technologists · importance 4.6 · no direct exposure
• Inspect, clean, test, and maintain respiratory therapy equipment to ensure equipment is functioning safely and efficiently, ordering repairs when necessary. · Respiratory Therapists · importance 4.6 · no direct exposure
• Clean and sterilize instruments, equipment, or materials. · Veterinary Technologists and Technicians · importance 4.6 · no direct exposure
• Clean or sterilize ophthalmic or surgical instruments. · Ophthalmic Medical Technicians · importance 4.6 · no direct exposure
• Clean or sterilize ophthalmic or surgical instruments. · Ophthalmic Medical Technologists · importance 4.5 · no direct exposure
• Clean kennels, animal holding areas, surgery suites, examination rooms, or animal loading or unloading facilities to control the spread of disease. · Veterinary Technologists and Technicians · importance 4.4 · no direct exposure
• Clean and help maintain equipment or work areas and sterilize glassware, according to prescribed methods. · Pharmacy Technicians · importance 4.4 · no direct exposure
• Lay out materials such as puzzles, scissors and eating utensils for use in therapy, and clean and repair these tools after therapy sessions. · Occupational Therapists · importance 4.3 · no direct exposure
• Clean, check, and maintain sonographic equipment, submitting maintenance requests or performing minor repairs as necessary. · Diagnostic Medical Sonographers · importance 4.3 · no direct exposure
• Disassemble and clean anesthesia equipment. · Nurse Anesthetists · importance 3.6 · no direct exposure
• Clean rooms and make beds. · Licensed Practical and Licensed Vocational Nurses · importance 3.6 · no direct exposure

Occupations that perform this

• Medical and Clinical Laboratory Technologists
• Surgical Technologists
• Medical and Clinical Laboratory Technicians
• Respiratory Therapists
• Veterinary Technologists and Technicians
• Ophthalmic Medical Technicians
• Ophthalmic Medical Technologists
• Pharmacy Technicians
• Occupational Therapists
• Diagnostic Medical Sonographers
• Nurse Anesthetists
• Licensed Practical and Licensed Vocational Nurses

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.

@misc{singulariki-clean-medical-equipment-or-facilities,
  title  = {Clean medical equipment or facilities.},
  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/detailed-activities/clean-medical-equipment-or-facilities}
}