Intelligent training method and system for intravenous infusion

Abstract

The invention discloses an intelligent training method and system for intravenous infusion. The training method comprises the following steps of performing logging in, module selecting, checking selecting, doctor advice checking, medicine selecting, nursing preparation, checking and medicine preparation, infusion apparatus preparation, checking and interpreting, hand washing preparation, bottle hanging and exhausting, blood vessel confirming, disinfecting, re-checking/exhausting, tourniquet binding, asking a patient to make a fist, punching, loosening the tourniquet, fixing an infusion patch,adjusting the dripping speed, dripping completion, pressing and pulling a needle, performing post-operation treatment, and submitting achievements, wherein the puncturing is performed by the steps ofprompting to puncture, detecting the needle feeding angle between a simulation infusion needle and a model arm, and detecting whether the feeding needle position is at a blood vessel or not, detectingthe needle feeding depth, performing blood return according to the needle feeding depth and force feedback control, prompting and recording if the puncture depth is too deep or too shallow, and if the puncture is successful, loosening the tourniquet. According to the intelligent training method and system for venous transfusion, an operator is guided to simulate a venous transfusion operation through prompting and timely feedback, and the operation is timely judged, evaluated and timely fed back to the operator.

Description

technical field [0001] The invention relates to a medical teaching and training system, in particular to an intelligent training method and system for intravenous infusion. Background technique [0002] Venipuncture technology mainly uses model arms for puncture operations. There are many specifications or details that cannot be reflected in the puncture process, such as feedback on operation steps, doctor-patient interaction, puncture angle monitoring, puncture depth, and instrument selection. There is no interaction between doctors and patients, there is no way to monitor and record the operation steps, the operation results cannot be counted and fed back, and the operation process cannot be perceived. Traditional model teaching does not give students corresponding feedback according to different operations of students; skill teaching must be taught by teachers in the classroom, and daily training is difficult to carry out; traditional training is only skill practice and l...

AI Technical Summary

Problems solved by technology

There is no interaction between doctors and patients, there is no way to monitor and record the operation steps, the operation results cannot be counted and fed back, and the operation process cannot be perceived, etc.

Traditional model teaching does not give students corresponding feedback according to different operations of students; skill teaching must be taught by teachers in the classroom, and daily training is difficult to carry out; traditional training is only skill practice and lacks the cultivation of clinical thinking

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