Premade barcode and patient information matching method

Abstract

The invention discloses a premade barcode and patient information matching method. The method comprises the following steps of S1, performing mode and parameter setting in a blood collection tube distribution machine, and adding a premade barcode blood collection tube to a test tube cabin corresponding to equipment; S2, reading detection item information of a patient; S3, distributing a premade barcode test tube to a printing tube-pasting region by the test tube cabin of the blood collection tube distribution machine, and performing premade barcode scanning to obtain premade barcode information; S4, binding the detection item information of the patient with the premade barcode information; and S5, detecting whether the barcode information is consistent with the information of the patient or not. According to the matching method provided by the invention, the information of the patient can be well bound with the premade barcode on the blood collection tube, so that the personal information and detection item information of the patient can be obtained only by reading the premade barcode information subsequently.

Description

technical field [0001] The invention relates to a management method for prefabricated barcode blood collection tubes, in particular to a method for matching prefabricated barcodes and patient information. Background technique [0002] The barcodes used in the domestic inspection room (LIS) system can be divided into two categories according to the way the barcode labels are produced and the information contained: prefabricated barcodes and full-information barcodes. [0003] The full information barcode label is also called the printing barcode, which is generated by the LIS or HIS system. After the electronic inspection doctor's order is completed, the specimen collector uses a special barcode printer to print it and stick it on the specimen container when collecting the specimen. This barcode label has detailed information such as patient information and test items, and medical staff can take accurate samples directly by relying on the information contained in the barcode ...

AI Technical Summary

Problems solved by technology

[0006] The recognition rate of the prefabricated barcode labels is almost 100%, but since the patient information is unknown when the barcodes are printed and pasted in batches, no patient information is left on the collection tubes (unless sampling information such as patient names and bed numbers are manually filled in on the barcode labels or with the help of other methods) paper information), it is easy to cause specimen collection errors

Especially when the network or LIS fails, no information on patients and testing items can be obtained, and the specimen testing work will be paralyzed

Therefore, it is difficult to realize a paperless inspection process in the true sense

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