Medical Equipment Preparers

Record sterilizer test results.

AI: Fully automatable - Recording sterilizer test results can be fully automated via integrated sensors, digital logging, and LIMS interfaces that AI can manage reliably by 2025.

Report defective equipment to appropriate supervisors or staff.

AI: Fully automatable - Generating and routing reports or alerts about defective equipment can be fully automated with AI integrated into maintenance and notification systems.

Maintain records of inventory or equipment usage and order medical instruments or supplies when inventory is low.

AI: Fully automatable - By 2025 AI systems integrated with inventory/EMR/supply vendors can track usage, forecast demand, and automatically generate or place orders, enabling full automation of record-keeping and ordering.

Check sterile supplies to ensure that they are not outdated.

AI: Fully automatable - Barcode/RFID and computer-vision systems combined with AI can automatically read lot/expiration data and flag out‑of‑date sterile supplies, fully automating the checking step where such infrastructure exists.

Operate and maintain steam autoclaves, keeping records of loads completed, items in loads, and maintenance procedures performed.

AI: Partial - Autoclave monitoring, logging and predictive maintenance can be fully automated, but physical loading/unloading and some maintenance tasks remain manual and supervised.

Clean instruments to prepare them for sterilization.

AI: Partial - Instrument cleaning is partially automated (washer/disinfectors and robotic systems) and AI can guide processes, but delicate manual cleaning and inspection are still required in many settings.

Organize and assemble routine or specialty surgical instrument trays or other sterilized supplies, filling special requests as needed.

AI: Partial - Inventory selection and tray build lists can be automated and optimized by AI, but physical assembly of specialty trays and final quality checks typically require human dexterity and clinical judgment.

Examine equipment to detect leaks, worn or loose parts, or other indications of disrepair.

AI: Partial - AI vision and diagnostic tools can detect many visible faults and predict failures, but comprehensive inspection for leaks, wear, or nuanced disrepair often requires tactile assessment and human interpretation.

Disinfect and sterilize equipment such as respirators, hospital beds, or oxygen or dialysis equipment, using sterilizers, aerators, or washers.

AI: Partial - AI can control sterilization equipment and monitor cycle parameters, but loading/unloading, validation checks, and some cleaning tasks remain largely manual in practice.

Stock crash carts or other medical supplies.

AI: Partial - Restocking requires physical handling; AI can schedule, checklist, and guide robotic or human agents but cannot reliably perform manual stocking across typical facilities yet.

Start equipment and observe gauges and equipment operation to detect malfunctions and to ensure equipment is operating to prescribed standards.

AI: Partial - AI and sensors can monitor equipment operation and detect anomalies, but initiating, physically starting, or intervening with some devices still typically requires human action or oversight.

Purge wastes from equipment by connecting equipment to water sources and flushing water through systems.

AI: Partial - AI can automate and monitor purge/flush sequences once plumbing connections and valves are in place, but the physical hookup and complex field work are still typically performed by humans.

Deliver equipment to specified hospital locations or to patients' residences.

AI: Partial - Autonomous indoor delivery robots are increasingly used in hospitals, enabling partial automation, but reliable home/residence delivery of medical equipment remains largely human-driven as of 2025.

Install and set up medical equipment, using hand tools.

AI: Partial - AI can provide installation instructions, AR guidance, and remote diagnostics, but the manual, dexterous work of installing and physically configuring equipment with hand tools is not fully automatable yet.

Attend hospital in-service programs related to areas of work specialization.

AI: Partial - AI can ingest, attend virtually, and summarize in‑service content, but cannot fully replace interactive, hands‑on participation, certifications, or the social aspects of attending in person.

Assist hospital staff with patient care duties, such as providing transportation or setting up traction.

AI: Partial - AI can assist with scheduling, monitoring, and guidance, but safe, hands‑on patient care tasks (lifting, traction setup, direct transport) largely require human caregivers and judgment.