Hospital intelligent doctor-seeing system based on machine vision

Abstract

The invention discloses a hospital intelligent doctor-seeing system based on machine vision. The system uses a head detection method in machine vision, optimizes the head detection method in a hospital queuing scene, detects the number of people in the queues of hospital registration windows currently, calculates the waiting time of the each window queue in combination with the average time lengthby which a single patient is processed by each window, and calculates the time by which the patient arrives at respective hospitals based on the locations of the patient and respective hospitals. Since the number of people in the queues in the hospital changes during the period from the departure to the arrival at the hospital, the system incorporates a predicting model for predicting the changein the number of people in the queue over a certain period of time. The system calculates the change of each registration queue during the period from the departure to the arrival at the hospital according to the average value of historical data in each week in the past four weeks in the monitored videos of the hospital, finally calculates the time required by the patient from the departure home to the arrival at the hospital, and provides a strategy choice for the patient to see the doctor quickly.

Description

technical field [0001] The invention belongs to the medical field and the computer field, and in particular relates to a machine vision-based intelligent hospital diagnosis system. Background technique [0002] The total amount of medical resources in our country is insufficient, and the daily queuing situation of different hospitals in the same area is affected by many factors, such as hospital grade, hospital popularity, consultation by experts in individual departments, physical examination by corresponding units of the hospital, regular follow-up visits of patients, disease outbreaks in nearby areas of the hospital, etc. . For patients with common diseases, since the disease is relatively easy to cure, the only appeal of the patients is to avoid the need to queue up for registration for a long time, see a doctor as soon as possible, and receive treatment. Existing hospital queuing strategies generally start from the perspective of the hospital and use different queuing ...

AI Technical Summary

Problems solved by technology

These technical methods are all from the perspective of a single hospital, and the strategy selection or system service is carried out when the patient has arrived at the hospital. It does not solve the problem of which hospital a single patient chooses to get the fastest treatment and avoid long queues for registration.

Images