Clinical aid decision scale automatic filling method and system, equipment and medium

Abstract

The invention provides a clinical aid decision scale automatic filling method and system, equipment and a medium. The method comprises the following steps of acquiring, cleaning and integrating patient data into a patient database; calling patient data, containing scale data parameters, of the queried patient; calling a rule engine to perform rule operation on the patient data to derive a scale data result; wherein a plurality of data items are preset in the scale data result, and corresponding data item information under each data item can be obtained through rule operation; and combining theinformation of each data item with a normal range value, and calculating each data item in the scale data result to obtain a scale evaluation score. According to the invention, the error rate of medical staff in the scale evaluation process can be reduced, and the medical work efficiency is improved. All scales can be automatically scored in real time according to the data change of the patient,so that the complex process that medical personnel need to arrange the scales for regular evaluation is reduced; meanwhile, a manual scale evaluation function is reserved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, system, device and medium for automatically filling in a clinical auxiliary decision-making scale. Background technique [0002] In the medical field, there are many scales used to measure the risk of a certain type of disease (such as a scale to measure the risk of VTE (venous thromboembolism)). At present, when medical staff evaluate a certain scale item for a patient, they manually fill in each item in combination with the patient's current clinical manifestations and their own subjective experience, and finally obtain a value that reflects the patient's risk level for a certain disease. In fact, it is not difficult to see that there is a drawback in the above process, that is, human beings manually evaluate each disease scale for patients based on subjective experience. As long as someone participates, mistakes may occur, not to mention that there are so man...

AI Technical Summary

Problems solved by technology

In fact, it is not difficult to see that there is a drawback in the above process, that is, to manually evaluate each disease scale for patients based on subjective experience. As long as someone participates, mistakes may occur, not to mention that there are so many patients and volumes every day. The form needs to be evaluated by medical staff, so it is inevitable that there will be errors and omissions.

Once a wrong assessment or omission occurs, it is likely to affect the doctor's follow-up diagnosis and treatment plan for the patient, and errors may follow.

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