Hospital management early warning system based on face recognition technology and method thereof

Abstract

The invention discloses a hospital management early warning system based on the face recognition technology, and the system comprises a nurse station information processing platform which is used forcollecting patient information, carrying out the modeling according to a face image, and extracting a corresponding face feature; a portrait big data platform which comprises a database used for storing patient information and face information; and an inpatient area monitoring fortification platform which is used for collecting faces of patients entering and exiting the inpatient area and controlling the patients to enter and exit the inpatient area according to the database. The hospital management early warning method based on the face recognition technology comprises the steps: inputting aface image of a patient, and extracting the corresponding face features; integrating and storing the patient data; collecting faces of patients entering and exiting the inpatient area, and comparing the faces with the database to control the patients to enter and exit the inpatient area. The face recognition technology is applied to ward management, so inpatients can be effectively controlled to carry out early warning when going out and going out in advance, the problem that medical workers are insufficient in manpower can be effectively solved, the internal operation efficiency of hospitalscan be greatly improved, and the manpower and material resources are saved.

Description

technical field [0001] The invention belongs to the technical field of management and control of psychiatric hospitals, and in particular relates to a hospital management early warning system based on face recognition technology and a method thereof. Background technique [0002] Inpatients in psychiatric hospitals are prone to dangerous behaviors such as impulsiveness, hurting others, walking away, destroying objects, self-injury, suicide, etc. Preventing these dangerous behaviors is the focus of nursing work in psychiatric wards. As one of the most common adverse events in wards, how to take effective measures for targeted prevention is very important. There are two main factors for hospitalized patients to walk away: the patient's own factors: loss of insight, denial of illness and refusal to be hospitalized; after taking antipsychotic drugs, the patient has extrapyramidal reactions of akathisia; affected by auditory hallucinations, delusions, etc. Dominance; consciousne...

AI Technical Summary

Problems solved by technology

There are two main factors for hospitalized patients to walk away: the patient's own factors: loss of insight, denial of illness and refusal to be hospitalized; after taking antipsychotic drugs, the patient has extrapyramidal reactions of akathisia; affected by auditory hallucinations, delusions, etc. Dominance; consciousness and disorientation; deficiencies in ward management: There is generally an insufficient doctor-patient ratio in specialized hospitals, and it is difficult for medical staff with limited wards to monitor each patient in a timely manner

However, the anti-falling design of the wristband technology commonly used at present is not suitable for patients with mental diseases, and has an adverse effect on the psychological rehabilitation of patients.

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