Intelligent evaluation system based on delirium consciousness fuzzy rapid evaluation method

Abstract

The invention relates to an intelligent evaluation system based on a delirium consciousness fuzzy rapid evaluation method, in particular to an intelligent evaluation system for a to-be-evaluated object such as an ICU patient, and at least one of the language expression ability, the physical activity ability and the facial expression ability of the to-be-evaluated object is limited. The intelligentevaluation system at least comprises: at least one obtaining module used for obtaining feedback information about a to-be-evaluated object and / or auxiliary people and obtaining behavior information of the to-be-evaluated object during delirium consciousness fuzzy rapid evaluation; a generation module used for respectively generating parameters required by a delirium evaluation model according tothe attribute of the behavior information and the attribute of the feedback information; and an identification module used for performing calculation by utilizing the delirium evaluation model according to the generated parameters to obtain an evaluation value about at least one delirium characteristic obtained by performing delirium consciousness fuzzy rapid evaluation on the to-be-evaluated object.

Description

technical field [0001] The invention relates to the technical field of delirium care, in particular to an intelligent assessment system based on a rapid assessment method for delirium confusion, especially an intelligent assessment system for objects to be assessed such as ICU patients. Background technique [0002] Delirium is a group of acute cognitive impairment syndromes characterized by attention deficit, confusion, confusion, and altered state of consciousness. It is an acute or subacute onset disease, usually changing within hours to days. , identification requires a brief cognitive screening and keen clinical observation, the main diagnostic features include acute onset and fluctuating altered state of consciousness, inattention, impaired level of consciousness, cognitive impairment (eg, disorientation, memory impairment ). Delirium is a complex neurological syndrome and is associated with multiple adverse outcomes such as: increased medical costs, prolonged hospita...

AI Technical Summary

Problems solved by technology

However, it does not take into account that although the delirium scale itself combines objective cognitive test assessment into delirium assessment, it has high requirements for nursing staff to assess delirium. In the state of non-invasive ventilator, not only can't speak and answer the questions of medical staff, some patients' limbs are restricted and cannot answer by hand, and the face is blocked by the breathing mask, and the patient's reaction cannot be judged by observing facial expressions; Existing technologies, such as the solutions proposed in the above patent documents, are based on the evaluation of the nursing staff's own understanding of EEG and scales, and it is difficult to achieve reliable and effective delirium assessment

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