Hospital intelligent appointment and triage hospital guide model design and algorithm

Abstract

The invention discloses a hospital intelligent appointment and triage hospital guide model design and algorithm. The model design method comprises the following steps: 1, collecting hospital data, and processing the collected hospital data; 2, building a unified informatization appointment and triage hospital guide model according to the processed data; 3, performing parameterization updating on the appointment and triage hospital guide model; 4, performing quality evaluation on the model. The algorithm is one or more of a decision tree algorithm, a random forest algorithm, a self-adaptive lifting algorithm, a gradient lifting decision tree algorithm and a support vector machine algorithm. The method and the algorithm have the beneficial effects that the medical experience of the patient can be optimized, so that the hospital appointment and triage guide process is more efficient, doctor-patient pairing is more effective, and the user satisfaction is improved; real-time human traffic analysis is carried out on a hospital, so that a patient can conveniently select a proper quota time period to see a doctor, and the queuing time is shortened.

Description

technical field [0001] The invention belongs to the field of smart medical technology, and in particular relates to a model design and algorithm for smart appointment and triage guidance in a hospital. Background technique [0002] In the development of the medical industry, the application range of the Internet of Things technology is becoming wider and wider; the original concept of the Internet of Things is to connect all objects from senses and intelligence based on technologies such as radio frequency identification (RFID), sensors, and miniaturization. In China, the Internet of Things is usually defined as the interconnection and application integration of intelligent end devices and RFID-attached entities through wireless or wired communication networks. In the network environment, appropriate information security mechanisms are adopted to provide safe and controllable Even personalized management and service functions realize the integration of management, control an...

AI Technical Summary

Problems solved by technology

Because the development of medical information business needs to bear huge use pressure, there will be various problems, and the traditional technical management methods can no longer meet the current needs

[0004] There are many doctors in each department of each hospital. When patients register for medical treatment in the hospital, most of them choose the general number or the expert number according to the system guidance. They do not know the doctors and choose randomly. Two phenomena are prone to occur: some patients do not need Specialist treatment wastes medical resources; some patients do not choose the most suitable specialist, which may delay their treatment

[0005] The outpatient appointment mode refers to the combination of the form in which patients seek medical treatment and the form in which the hospital provides diagnosis and treatment services. The traditional outpatient appointment mode adopts the form of queuing up and registering for medical treatment. Patients with middle-aged patients cannot know the approximate time of treatment in advance, and only after completing the registration can they know the order of treatment. The traditional window registration mode is manually operated. In recent years, the information system has been gradually promoted to record information and print the registration form.

The traditional manual outpatient appointment mode has long-term problems such as non-disclosure of information, inadequate management, and serious scalping phenomenon, which makes it difficult for the people to find a doctor and has a great negative impact on society; the traditional outpatient process includes registration, waiting, Follow-up visits, payment, medicine collection, equipment inspection, hospitalization, etc., patients need to queue up in order to complete each link. Some departments have a lot of patients queuing up. Because they do not know the exact time to see a doctor, many patients or their families take a long time. The time waiting method is waiting outside the clinic, resulting in overcrowded queues in every link, which greatly reduces the efficiency of medical consultation; in the traditional outpatient appointment mode, the queuing time for registration, waiting for a doctor, and checking and taking medicine is long, and the time for diagnosis and follow-up visits is very long. This "three longs and one short" phenomenon will seriously affect patients' satisfaction with hospital services

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