Traceable medical examination specimen or blood collection tube intelligent identification device

Abstract

The invention provides a traceable medical examination specimen or blood collection tube intelligent identification device, and the device includes: a specimen collection unit comprising a plurality of specimen collection modules for collecting and storing different specimens; and a database unit for performing data storage; an identification unit used for identifying each specimen collection module; a shielding unit used for building a shielding space and shielding signals outside the shielding space; and a tracing unit used for recording the identity information of an operator. The identification unit includes an RFID reader and RFID electronic tags arranged in the sample collection modules, the RFID reader performs data communication with the RFID electronic tags on the specimen collection modules in the shielding space to complete batch identification and counting. The traceable medical examination specimen or blood collection tube intelligent identification device provided by theinvention can enable an examination result to be more accurate, and control the specimen accuracy: the whole process of the conveying and handover of the specimens is visualized, whole-process tracingand responsibility investigation are supported, the specimens are prevented from being lost or stealthily substituted, the hospital automation level is improved, the medical specimen identification is more accurate and efficient, and medical disputes are reduced.

Description

technical field [0001] The invention relates to the medical field and the electronic field, in particular to a traceable intelligent identification device for medical examination specimens or blood collection tubes. Background technique [0002] Medical specimens are an indispensable part of the hospital's medical treatment process. In clinical practice, the amount of blood, urine, body fluid and other tissue specimens that need to be collected is very large, but in the existing medical specimen collection process, There are many problems. At present, the traditional specimen collection process adopted by the hospital is mostly completed by manual operation. Taking the most conventional blood sample as an example, the specimen is mainly divided into 7 steps: 1. The blood collection doctor manually selects the tube; 2. Manually pastes 3. Manually draw blood; 4. Manually scan codes one by one to enter samples; 5. Manually sort and transfer specimens; 6. Laboratory departments ...

AI Technical Summary

Problems solved by technology

This method has a high error rate and irresponsibility cannot be traced: tube selection, labeling, blood drawing, scanning code entry, handover and transfer, collection, sorting and other links are time-consuming; The accuracy of the results is not high: from tube selection, labeling, tube finding, blood drawing check, code scanning input, specimen handover and transfer, specimen collection to sorting specimens before inspection, all are done manually, resulting in too long time for blood specimens to be separated from the body , The accuracy of the test is reduced, the laboratory is crowded during peak hours, prone to errors and omissions; the workload of medical and nursing work is heavy; traceability and accountability cannot be traced, and patient satisfaction is low

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