Carry-on early warning system based on risk level judgment for mental disorder patient

Abstract

The invention provides a carry-on early warning system based on risk level judgment for a mental disorder patient. The carry-on early warning system comprises a computer, wearable equipment and a public security bureau server; the computer is connected with the wearable equipment; and the computer is connected with the public security bureau server. The computer calculates a final dangerous statecoefficient of the mental disorder patient and sends the final dangerous state coefficient to the public security bureau server; and when the public security bureau server judges that the final dangerous state coefficient of the patient is greater than a preset value, a short message alarm is sent to people in the area where the patient is located. The public security bureau server obtains the communication base station information of the area where the patient is located in advance, and when the final danger state coefficient of the mental disorder patient is larger than the preset value andthe mental disorder patient is in a danger state of a set danger level, the public security bureau server sends short message early warning to the crowd of the area where the patient is located, and possibility of harm is reduced.

Description

technical field [0001] This application relates to the field of information technology, in particular to a portable early warning system for patients with mental disorders based on risk level judgment. Background technique [0002] The 2006 "National General Emergency Plan for Public Emergencies" stipulates that public emergencies refer to emergencies that occur suddenly and cause or may cause heavy casualties, property losses, ecological environment damage, serious social hazards, and endanger public safety. The 2007 "Emergency Response Law of the People's Republic of China" stipulates that an emergency refers to a natural disaster, an accident disaster, a public health event and a social event that occurs suddenly, causes or may cause serious social harm, and requires emergency measures to deal with it. Security incidents In these two national documents, social security emergencies have two notable features: one is sudden, and the other is that they cause serious social ha...

AI Technical Summary

Problems solved by technology

In 2016, the National Health and Family Planning Commission of China announced that there were 5.4 million patients with severe mental disorders registered and managed. Most of the patients with severe mental disorders have not yet seen a doctor, let alone registered management, which poses serious social security risks

[0004] The risk assessment standard published in the "Working Standards for the Management and Treatment of Severe Mental Disorders (2018 Edition)" is relatively simple,

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