Intelligent appointment method for imaging examination of hospital patients

Abstract

The invention discloses an intelligent appointment registration method for imaging examination of a hospital patient. An outpatient scans an outpatient examination list two-dimensional code through ascanner, and enters examination information on an outpatient examination list into a self-service appointment registration terminal computer, an inpatient uploads examination information to a server through a ward electronic system, and the self-service appointment registration terminal computer analyzes data; when appointment registration conditions are met, queuing appointment registration conditions are judged to be met or not, and when the queuing appointment registration conditions are met, the examination information is entered into a queuing appointment registration system; when the queuing appointment registration conditions are not met, a registration form is printed and output; a computer in a doctor station calls the patient for medical examination according to a queue appointednumber, and the server deletes the examination information of the patient after the examination is finished. The intelligent appointment registration method for the imaging examination of the hospital patient disclosed by the invention is high in practical values, more reasonable in distribution of patient appointment registration and more scientific in patient numbering, and the system is set tohave functions of short message registration reminding and registration intervals, so that the patient does not have to wait for a long time in an examination area for worrying about missing the registration, and the intelligent appointment registration method for the imaging examination of the hospital patient further has relatively high clinical use values.

Description

technical field [0001] The invention relates to a method for checking an appointment for a hospital patient, in particular to an intelligent appointment method for an image inspection of a hospital patient. Background technique [0002] At present, the medical examination equipment appointment system in most hospitals in my country is still a non-intelligent appointment system based on manual work. The nurses at the front desk mainly enter the examination information of the patients one by one. Diagnostic doctor. Although this method can assign the patient to a suitable diagnostician according to the patient's condition, which reflects a certain degree of humanistic care, it also has serious shortcomings: 1. The operation is cumbersome: the appointment speed is slow, and the patient needs to waste a lot of time on the appointment procedure. It is easy to cause dissatisfaction among patients, and even some conflicts. 2. Heavy tasks: In order to meet the demand, many people n...

AI Technical Summary

Problems solved by technology

Although this method can assign the patient to a suitable diagnostician according to the patient's condition, which reflects a certain degree of humanistic care, it also has serious shortcomings: 1. The operation is cumbersome: the appointment speed is slow, and the patient needs to waste a lot of time on the appointment procedure. It is easy to cause dissatisfaction among patients, and even some conflicts

2. The task is heavy: in order to meet the demand, it needs to be completed by multiple people, which increases the work cost

[0003] In addition, with the development of network technology, some hospitals have applied online appointment registration to the outpatient registration system, which greatly reduces the patient registration process and is convenient for patients, but there are also disadvantages: 1. This technology has not yet been involved in medical examination The appointment of equipment is currently only used in the outpatient system, and after the appointment, you need to go to the manual window to pick up the number

2. This technology can only simply make an appointment based on the set information, or the patient's instruction system corresponds to the appointment, it cannot automatically identify the patient's needs, and it cannot make a reasonable appointment based on the doctor's professional expertise, work speed and other characteristics. Has not reached the characteristics of artificial intelligence

3. Unable to reasonably arrange the time for patients to see a doctor, patients cannot control the speed of doctor's visits, usually patients need to wait several hours in advance or pass the number easily if there is a slight negligence

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