Internet-of-things intelligent management and control information system for medical examination samples

Abstract

The invention discloses an Internet-of-things intelligent management and control information system for medical examination samples in the field of intelligent medical management, and aims at overcoming the defect that in the prior art, due to the lack of a partial information checking process in a receiving link, blind areas exist in real-time information of samples during the period from collection and transfer to receiving of a clinical laboratory. According to the technical scheme, the system comprises a sample placing rack, the surface of the placing rack is provided with cells, the bottom of each cell is provided with a base for placing a sensor, the number of each base is IN, N is an integer larger than zero, and N is arranged in an ascending order; bluetooth transmission chips arearranged in the cells, and the cells are in signal connection with a relay system, a server and a cloud end in sequence through the RFID technology. According to the technical scheme, a relay system is adopted to carry out interactive information input on placed samples, and the information loss probability is reduced through number arrangement.

Description

Technical field [0001] The invention belongs to the field of intelligent medical management, and specifically is an intelligent management and control information system of the Internet of Things for medical inspection samples. Background technique [0002] At present, the traditional blood collection management system is still widely adopted in most hospitals. In the blood collection management system, the collection of blood collection tubes used in the collection of patient blood samples involves the selection of blood collection tube types, bar code labeling, blood collection process, blood collection sample entry, handover, transfer, collection, and sorting processes. At present, both the selection of blood collection tube type and the pasting of barcode labels with patient information on the blood collection tube are completed by manual operation or with corresponding independent equipment, but automatic connection of actions cannot be achieved, and subsequent blood collect...

AI Technical Summary

Problems solved by technology

Due to the low input efficiency of manual barcode scanning (average 1.5s / piece), a large number of samples will greatly consume the energy of medical staff, and the probability of human input errors will also increase with the increase in the number of samples

At the same time, due to the low efficiency of manual scanning, which is in contradiction with the time limit required for specimen delivery in actual medical work, it leads to the lack of part of the information verification process in the current specimen collection and transfer receiving process, which makes the specimen collection and transfer to the laboratory for reception. Blind spots appear in the real-time information

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