Online inquiry order sending method, device and system

Abstract

The invention discloses an online inquiry order dispatching method, device and system, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: receiving an inquiry order submitted by a patient terminal, wherein the inquiry order contains description information related to inquiry; inputting the description information into a pre-trained triage model; when the triage model outputs a triage result, determining a target department corresponding to the inquiry order from the triage result; when the triage model does not output a triage result, matching the description information with a plurality of preset mapping rules, and determining a target department corresponding to the inquiry order from the mapping rules matched with the description information; and determining a target doctor from doctors belonging to the target department according to a pre-calculated doctor weight value, and sending an order distribution notification generated based on the inquiry order to a target doctor terminal. According to the embodiment, the department triage accuracy and the patient experience in non-directional inquiry of the Internet hospital can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for online consultation and order dispatching. Background technique [0002] With the rapid development of Internet medical care, online consultation has become an important way for patients to consult. The advantages of online consultation include: reducing the pressure on doctors and patients in tertiary hospitals, avoiding the tension between doctors and patients, undertaking the role of preliminary screening, and supporting cross-border medical consultation. Regional patient search. At present, non-directed consultation (that is, the patient does not specify a doctor, and the receiving doctor is automatically assigned by the system) accounts for about 70% of the total online consultation. [0003] In the existing non-directional consultation technology, the machine learning model is mainly used for departmental triage, and then the receiving doc...

AI Technical Summary

Problems solved by technology

[0003] In the existing non-directional consultation technology, the machine learning model is mainly used for departmental triage, and then the receiving doctors are randomly assigned to the department. Symptom description has a strong classification ability, but it is often unable to output classification results when faced with multi-type symptom descriptions. In this case, departments may be randomly selected in the existing technology, resulting in a decrease in the accuracy of triage

Second, the number of dispatch orders for different doctors is unbalanced, which may easily lead to some doctors being unable to accept orders due to too many orders, and other doctors having no orders to accept

Third, there are cases where some doctors do not accept orders or respond in time, which affects the patient experience

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