Screening and computing system for parenteral nutrition

Abstract

The invention relates to a screening and computing system for parenteral nutrition. The system comprises a nutrition screening tool subsystem and a nutrition demand amount computing subsystem. The nutrition screening tool subsystem is used for system users to select different screening tools according to different individual situations, input individual tissue condition relevant attribute values, compute individual nutrition scores, and output corresponding nutrition condition evaluation and suggestions according to the individual nutrition scores; and the nutrition demand amount computing subsystem is used for computing individual nutrition demand amounts according to the individual tissue condition relevant attribute values, selecting different nutrition preparations according to the individual nutrition demand amounts and outputting nutrition plans formulated by system users. According to the screening and computing system for parenteral nutrition, system users only need to input or select individual corresponding parameters, the system can compute corresponding results automatically, and accordingly, computing errors are eradicated, and the work amount of system users is reduced simultaneously.

Description

technical field [0001] The invention relates to the field of medical detection, in particular to a parenteral nutrition screening calculation system. Background technique [0002] At present, in the international medical community, there are relatively clear guidelines for assessing the nutritional risk of patients and determining the parenteral nutrition requirements of patients. In specific operations, clinicians must be familiar with various complex calculation formulas. For each parameter, the specific components of each nutritional preparation and the content of nutritional components in it need to be kept in mind. However, in clinical application, because some clinicians have certain limitations in the attention and understanding of nutrition therapy, and the methods for assessing the nutritional risk of patients and the calculation formulas for determining the patient's parenteral nutrition requirements are indeed complex and various, it is difficult for clinicians U...

AI Technical Summary

Problems solved by technology

However, in clinical application, because some clinicians have certain limitations in the attention and understanding of nutrition therapy, and the methods for assessing the nutritional risk of patients and the calculation formulas for determining the patient's parenteral nutrition requirements are indeed complex and various, it is difficult for clinicians Under normal circumstances, memorize all the formulas, so that when evaluating patients and calculating parenteral nutrition requirements, clinicians often have to search reference books or textbooks to find the corresponding formulas and then calculate

It is not difficult to see that the method of calculating the parenteral nutrition requirement by hand is relatively complicated and the workload is heavy, and doctors lack a simple method to complete this work when assessing the nutritional risk of patients and selecting parenteral nutrition preparations; and because it is The choice of medical nutritional preparations, each nutritional preparation has its own unique specifications and properties, when various nutritional preparations are used together, there is a certain configuration ratio between various nutritional preparations, and different configuration ratios correspond to different nutritional needs , It is easy to cause errors in calculation results by purely manual calculations, which will affect the nutritional assessment for patients or the calculation of parenteral nutrition requirements and the selection of nutritional preparations. trouble

[0003] To sum up, in the prior art, there is no good tool or system to avoid the above-mentioned tedious workload and errors in calculation results

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