Intelligent and electronic pains coring system and method

Abstract

The invention discloses an intelligent and electronic pain scoring system and method. The system comprises a data acquisition module, a data processing module and a data storage and display module, wherein the data acquisition module is used for acquiring pain data information of a user; the data processing module is used for receiving the pain data information from the data acquisition module, and analyzing the pain data information so as to obtain a pain evaluated value and a pain control requirement of the user; and the data storage and display module is used for storing, displaying and outputting the pain evaluated value and pain control requirement, obtained by the data processing module, of the user and an analgesia control degree. According to the system and method, large-scale evaluation in hospitals and evaluation methods of different hospitals are unified, so that corresponding unnecessary errors are eliminated to facilitate the statistical communication. The system is easy to operate, time-saving, labor-saving and stronger in intuition, is capable of decreasing corresponding workloads, improving the working efficiency, preventing interferences of human factors, and can be directly displayed on display screens.

Description

technical field [0001] The invention relates to a pain evaluation method, in particular to an intelligent electronic pain scoring system and a scoring method. Background technique [0002] Perfect postoperative pain management is based on an effective pain assessment. At present, the clinical methods for postoperative pain assessment mainly include visual analogue scale (VAS), numerical rating scale (NRS), verbal rating scale (VRS) and revised Faces pain scale-revised (FPS-R) and so on. [0003] The visual analogue scale (VAS) consists of a 100mm long straight line, one end is marked with 0 for "no pain" and the other end is marked with 100 for "unbearable pain". The length from the 0 point to the marked point represents the pain level. The verbal rating scale (VRS) classification of pain was "no pain, mild pain, moderate pain, severe pain, very severe pain", and patients chose an adjective that best represented their pain level. The Facebook Pain Scale (FPS-R) consists ...

AI Technical Summary

Problems solved by technology

The existing pain evaluation mainly has the following defects: (1) Regarding the VAS score, because it is to mark its own pain value on a line segment with a length of 100mm, due to the error of the line segment of the evaluation and the operator, it will lead to the same patient, There may be a large gap in the results due to the operator's reasons

The same problem is applicable to the Facebook pain score an

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