What are the benefits of RFID smart medical systems under the new crown epidemic?

COVID-19 epidemic that started in late 2019 and early 2020 suddenly broke people’s peaceful lives, and a war without gunpowder
smoke began. In an emergency, various medical supplies were in short supply, and the deployment of medical supplies was not
timely, which greatly affected the progress of the rescue. At this time, the intelligent medical system based on RFID technology
is widely concerned.

The RFID intelligent medical system is mainly reflected in the difficulties of hospital information sharing, the insufficient use of
medical equipment, and the simplification of the tedious process of obtaining patient paper medical records. The RFID intelligent
medical system uses radio frequency to collect and transmit information. It can obtain the information of the target tag without
contact, accurately grasp the equipment usage of the hospital and the medical information of the patients, realize intelligent
management, optimize medical procedures, and improve the diagnosis rate.

COVID-19 is highly contagious, and patients are required to stay in a specific place during treatment to avoid widespread infection.
If the patient leaves a specific place, the system will remind the medical staff that the patient is away from the specific place.
Medical waste is a hazardous waste product, which is extremely dangerous. Put RFID tags on the trash cans, check the label information
and detect the initial weight of medical waste before incineration, to ensure that all medical waste is legally recycled and avoid some
medical waste. Garbage is re-sold by unscrupulous personnel and becomes a source of transmission of germs.

The intelligent medical system based on RFID technology can process a large amount of complex medical information, save and efficiently
use medical resources, always pay attention to the physical condition of patients, ensure the safe disposal of medical waste, improve the
intelligent service level of the hospital, and improve the diagnosis efficiency.
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Post time: Feb-16-2022