WO2016137169A1 - Hospital management system and method using face recognition - Google Patents

Abstract

Provided are a hospital management system and method, the hospital management system comprising: entrance cameras for photographing an entrance of a hospital to photograph visitors; indoor cameras, installed inside the hospital, for photographing specific designated places; an information acquisition unit which analyzes images photographed by each of the entrance cameras and the indoor cameras to acquire face recognition information of people in the images, and acquires information on the photography time and place of facially-recognized people; a database in which identification information on registrants including registered patients and employees of the hospital is stored so as to match face information, and schedule information on the respective patients is updated and managed; a comparison and determination unit which identifies whether the facially-recognized people are registrants or not by comparing the face recognition information acquired by the information acquisition unit with the information on the registrants stored in the database, and determines, from among the registrants, whether the facially-recognized people are employees, appointment-having patients, walk-in patients, or inpatients; an input unit in which information on new subjects to be registered and information on appointments, medical care, examinations, treatment, surgery, prescriptions, admission procedures and discharge procedures are inputted; a management server which tracks the respective registrants identified by the comparison and determination unit by using face recognition technology on the basis of schedule information stored in the database, and manages schedules; and an information transmission unit which transmits, to a mobile terminal of a preset object, information which is processed and generated by the management server.

Description

Hospital Management System and Management Method Using Facial Recognition

The present invention relates to a system and a management method for managing a hospital by identifying a visitor or a hospitalized patient and staff visiting a hospital without collecting and using personal information such as a social security number using face recognition technology.

Hospitals, by their very nature, have a very large floating population and require large specialized spaces to manage these systems, as well as medical staff, as well as diverse and specialized management personnel. In addition, the hospital's special environment requires personal identification authentication for security and safety, and the location and access of patients and hospital staff in real time for rapid response to emergencies.

Recently, since the hospital is enlarged and specialized, it is required to develop a system for efficiently managing while keeping the security and safety of large-scale high-density personnel such as visiting patients and employees.

In addition, with the strengthening of the Personal Information Protection Act, both patients and hospitals are experiencing inconveniences and the risk of medical accidents is increasing due to the restriction on the use of the existing social security number, which was used for pre-scheduling visits and medical treatments and examinations. Since hospitals are additionally deploying personnel to existing patient management systems or developing their own individual authentication systems, there is an urgent need to establish an efficient and unified personal authentication system.

[Preceding technical literature]

(Patent Document 1) Republic of Korea Patent Publication No. 10-2009-0109635

The present invention has been made to solve the above problems, to provide a hospital management system and management method using facial recognition that can more efficiently perform the management and operation of the hospital using facial recognition technology. have.

Hospital management system using the facial recognition of the present invention for achieving the above object, the entrance and exit camera to photograph the entrance of the hospital entrance; An indoor camera installed in a hospital to photograph a specific place; An information acquisition unit for analyzing facial images captured by each of the doorway camera and the indoor camera to obtain face recognition information of a person in the image, and to acquire location and shooting time information of the face recognized person; A database in which identification information of registrants including registered patients and staff of the hospital is matched with facial information and stored, and schedule information for each patient is updated and stored and managed; A comparison judgment unit which checks whether the recognized person is a registrant by comparing the facial recognition information obtained by the information acquisition unit with the registrant information stored in the database, and determines whether the recognized person is an employee, a reserved patient, a non-reserved patient, or an inpatient. ; An input unit for inputting information on a new registration subject and information on a patient's reservation, medical treatment, examination, treatment, surgery, prescription, admission procedure and discharge procedure; A management server that tracks and manages a schedule through facial recognition according to schedule information stored in the database for each subject of the registrant identified by the comparison determination unit; And an information transmitter for transmitting the information processed and generated by the management server to at least one of a mobile terminal, a speaker in a hospital, and a bulletin board.

Here, the management server, an employee management module that tracks and manages the location and confirmation time of the employee, if the facial recognition target is an employee including a medical staff; A patient management module for dividing the patient into a reserved patient and the same day's reception patient and processing and managing a schedule including face recognition, treatment, prescription, treatment, and examination through face recognition when the facial recognized subject is a patient; And an inpatient management module for tracking and managing the location of the inpatient on the basis of the face recognition information through the doorway camera when the face-recognized subject is an inpatient.

In addition, the inpatient management module checks the entrance and exit time of the inpatient patient recognized by the entrance camera photographed by the doorway camera, and stores the photographing information and the outing time information when the outgoing confirmation, and selects as the main monitoring target It is a good idea to call the guards by controlling them to send a confirmation order.

In addition, the inpatient management module transmits an estimated command signal to the security team or the security guard's terminal to track and confirm the inpatient who has gone out when the inpatient who has gone out to the doorway does not return within a set time from the time of the outing In addition, it is preferable to transmit the outgoing information of the inpatient to the person in charge and the guardian terminal of the department in charge of the inpatient.

In addition, the patient management module, processing the reservation patient to be automatically received by the reserved medical department when confirming the reservation patient through the doorway camera, and obtains the reservation waiting time information from the reserved medical department reservation time, waiting time and waiter The number information may be transmitted to the portable terminal of the reserved patient, and the arrival information of the reserved patient may be transmitted to the reserved medical department after checking whether the reserved patient arrives at the reserved medical department through the indoor camera.

In addition, the patient management module, according to at least one schedule selected from the prescription issuance procedure, storage procedure, examination procedure, treatment procedure and hospitalization procedure among the next schedule information of the patient input through the input unit after the appointment in the appointment medical department It is good to control the location and arrival time of the patient to be tracked and processed through facial recognition, and to transmit the schedule information of the patient to the portable terminal of the patient.

In addition, the staff management module is updated and stored in the database of the information (location information, time information and facial recognition information) obtained for the staff including the medical staff, and the most suitable staff in the closest emergency in the hospital emergency It is preferable to generate and transmit call information to be called through a mobile terminal or in-door broadcasting.

In addition, the patient management module, matching the facial recognition information of the patient received on the day through the reception window or the reception terminal among the face recognition visitors as registrants stored in the database, and received the patient from the time of receipt processing on the day In accordance with the schedule of the location and arrival time tracking through facial recognition, it is good to control to transmit the schedule information of the patient received on the day to the portable terminal of the patient.

In addition, the patient management module, it is good to obtain the facial recognition information of the patient who visited the hospital and periodically update and store in the database.

In addition, the employee management module, and checks the entrance and exit of the employee and the time and time of the face-recognized staff photographed by the door camera, and confirms the information, and transmits the information to the terminal of the employee to automatically save the commute time It is good to manage.

In addition, it provides a touch screen for a registrant or a new patient to visit and perform the reception process directly, and transmits the received information to the management server, receiving the information of the patient who completed the treatment from the management server An unmanned terminal device for unattended handling of a patient and a prescription issuing procedure of the finished patient; And a reception processing camera which photographs a patient receiving through the reception terminal device or the reception window to obtain facial information, wherein the information photographed by the reception processing camera is received by the reception terminal device or the reception window. It is preferable to match the patient's information and store it in the database.

In addition, it is preferable to further include a monitor that displays the outgoing information of the inpatient and the location information of the staff processed by the management server on the screen.

In addition, when a customer registers as a member through a web page or application that enables online membership using a portable terminal or a computer connected to a communication network, the customer receives identification information including the name and face recognition information of the customer. Member registration module for registering the customer as a member, and when the registered customer requests a hospital appointment through the web page or application using a mobile terminal or a computer, input identification information including the face recognition information of the customer. It has a reservation management module that accepts and processes the personal authentication to receive the treatment appointment of the customer, it is preferable to further include a web (app) server for providing the web page and the application to the customer.

In addition, the hospital management method using the facial recognition of the present invention for achieving the above object, the photographing step of taking a person in and out of the hospital and a specific place inside the hospital; An information acquiring step of acquiring face recognition information by recognizing a face of a person photographed by analyzing the image photographed in the photographing step, and obtaining position information and time information from which face recognition information is obtained; Comparing facial recognition information acquired in the information obtaining step with facial recognition registration information stored in a database to determine whether the registrant is a non-registrant; Classifying the registrant identified in the verification step into a reserved patient, a non-reserved patient, an employee, and an inpatient; A reservation patient management step of step-by-step checking and processing the next schedule of the reservation patient based on the shooting location and the shooting time of the reserved patient classified in the classification step; And authenticating the patient through facial recognition using a camera prior to medical treatment in at least one of a laboratory, a treatment room (including a blood transfusion, and an anticancer drug), and an operating room when a specific medical activity of an outpatient or inpatient is determined. It characterized by including.

Here, the non-reserved patient management step of processing the non-reserved patient's next schedule step by step based on the non-reserved patient's reception time, the reception position when acquiring the reception information of the non-reserved patient classified in the classifying step It is preferable to further include;

In addition, the reservation patient management step, the step of automatically accepting the reservation treatment department when the fact that the reservation patient enters the entrance of the hospital; Transmitting the reservation waiting time and the number of waiting patients in the reserved medical department to the portable terminal of the reserved patient after the automatic reception of the reserved patient; Confirming, through facial recognition, a state of arrival of the reservation patient to the appointment medical department, and delivering arrival information of the reservation patient to the reservation department; And a schedule management step of managing and processing a next schedule by checking contents of a next schedule input together with the completion information of the reserved patient in the appointment medical department.

In addition, the schedule management step, and confirming the receiving process through the face recognition, and confirming the received patient through the face recognition and issuing a prescription; An examination (treatment) management step of using facial recognition to track at least one process of the examination and treatment of the patient; And a hospitalization management step of transmitting and guiding the patient's admission procedure guide information to the terminal of the patient when confirming the admission decision information of the patient, and confirming and tracking and managing the patient moved to the ward through facial recognition; It is preferable to include at least one of the steps.

In addition, when the face-identified registrant is identified as an inpatient in the classification step, transmitting the location, time information and information obtained through facial recognition of the inpatient to the terminal of the person in charge; Confirming whether the inpatient is out of the building, storing the acquisition information when the inpatient is out, and designating the inpatient who is out of the building as the main monitoring target; Providing information for the security guard to check by transmitting call information and outgoing inpatient information to the security guard terminal; Checking whether the outpatient outgoing time of the inpatient exceeds the set period, and if exceeded, sending outpatient outgoing information to the terminal of the security team, the person in charge of the terminal and the guardian terminal;

In addition, in the classifying step, classifying the employee by job group, and updating and storing information obtained for the employees classified by job group in a database; In case of an emergency in the hospital, find the employee located in the nearest location based on the information stored in the database, and send the calling information to at least one of the mobile terminal, the speaker and the bulletin board of the employee It is good to further include;

In addition, a member registration step of accessing a web page or an application provided by a web (app) server using a mobile terminal or a computer, when a customer requests membership registration, receives basic information and facial recognition information from a member and performs member registration processing; And when a registered member accesses a web page or an application provided by the web (app) server using a mobile terminal or a computer, requests a personal certification through facial recognition information from the registrant, and registers the input facial recognition information and registration. It is preferable to further include; a reservation step of processing a medical appointment after completing the personal authentication by comparing the facial recognition information.

In addition, the facial recognition information requested to the customer in each of the member registration step and the reservation step may include a plurality of face-photographed images of the customer's face taken in different directions.

The method may further include obtaining access information and access time information of the hospital entrance of the employee, transmitting the obtained information to the mobile terminal of the employee, and storing the information in the database to automatically process the commute management of the employee. Good to do.

In addition, the patient information updating step of acquiring the face recognition information of the patient who visited the hospital and periodically update and store the face recognition information of the patient in the database; And updating the face recognition information of the employee in a predetermined period unit.

According to the hospital management system using the facial recognition of the present invention, based on the information recognized by the face of the person in and out of the hospital building, as well as people in the building, the classification is divided into registrants and non-registrants, in the case of registrants including medical staff The location of the registrants can be tracked and managed by dividing them into staff and patients, and by classifying patients into reserved patients, non-reserved patients, and inpatients.

In addition, the patient can track and confirm the location of the patient through facial recognition according to the following schedule information, so that the schedule management can be automatically processed through the movement and reception of the patient, simplifying the system and preventing waste of hospital personnel. In addition, the patient's waiting time in the outpatient clinic, examination room, treatment room, etc., as well as there is an advantage that can effectively utilize the hospital space.

In addition, when the patient is determined a specific medical behavior, there is an advantage that can prevent medical accidents such as changing the patient through the authentication step before the medical conduct through the camera in the laboratory, treatment room (transfusion, anticancer drugs, etc.), operating room.

In addition, in the case of hospital staff, automatic commute management can be done through the entry and exit time information, and the location and time information of the staff can be quickly handled by calling the most suitable staff in case of emergency in the hospital. have.

In addition, by accessing the web (app) server through the Internet, using the facial recognition, as well as registration of the member, the registrant can accept the appointment. In other words, since it is possible to process personal authentication through face recognition without registration of personal information such as existing social security number, membership registration and medical appointment can be performed, so the hospital can operate medical services according to the inability to use personal information. Even when the information is not available, it is possible to perform normal medical services, that is, hospital management, it is possible to solve the problems of providing medical services and hospital management.

1 is a block diagram illustrating a hospital management system using facial recognition according to an embodiment of the present invention.

FIG. 2 is a block diagram illustrating the information acquisition unit of FIG. 1.

3 is a diagram for explaining a state in which a terminal and a computer are connected to a web (app) server.

4 is a flowchart illustrating a hospital management method using facial recognition according to an embodiment of the present invention.

5 is a flowchart illustrating a method of tracking and managing inpatients.

6 is a flowchart illustrating a management method for a prescription issuing subject.

7 is a flowchart illustrating a management method for an inspection (treatment) subject.

8 is a flowchart illustrating a management method for a hospitalization decision subject after treatment.

9 is a flowchart illustrating a process of registering a member using facial recognition by accessing a web (app) server.

10 is a flowchart illustrating a procedure of accessing a web (app) server and making appointments using facial recognition.

Hereinafter, a hospital management system and a management method using facial recognition according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 and 2, the hospital management system using facial recognition according to an embodiment of the present invention, at least one door camera 10 is installed to photograph a person entering and leaving the entrance of the hospital, and the inside of the hospital Analyzing the images taken by the at least one indoor camera 20 and the entrance camera 10 and the indoor camera 20 to be photographed at a specified position to recognize the face of the person photographed, such as shooting time and location Information acquisition unit 30, database 40, comparison determination unit 50, information transmitter 60, input unit 70, monitor 80, management server 90, unmanned terminal device 100 for obtaining information ) And a web (app) server 110.

The doorway camera 10 is provided with a plurality so as to photograph the doorway of the hospital building to check the people entering and exiting.

The indoor camera 20 is installed at each specific place of a hospital building to photograph people. For example, the indoor camera 20 is installed to photograph a specific place such as a reception window, an automatic terminal device 100, a waiting room of each medical department, an examination room, a treatment room, an operating room, and the like.

Images captured by the door camera 10 and the indoor camera 20 are transmitted to the information acquisition unit 30 through a wired or wireless network of the building.

The information acquisition unit 30 analyzes the images captured by each of the doorway camera 10 and the indoor camera 20 to obtain face recognition information of a person in the image, and obtains information on a location and a shooting time of the face recognized person. Acquire. Specifically, referring to FIG. 2, the information acquisition unit 30 may include an image capture unit 31, an image processor 32 that processes image information transferred from the image capture unit 31, and a feature point detector 33. Equipped. The image capturing unit 31 converts an external image signal captured by the camera into a digital signal and transmits the converted image signal to the image processing unit 32.

The image processor 32 processes the image signal converted and transmitted from the image capture unit 21 to the digital signal, corrects the contour line, filters the noise, and transmits the image signal to the feature point detector 33. The feature point detector 33 extracts feature points, that is, facial images, in the image processed by the image processor 32 to obtain face information. In addition, the feature point detector 33 may detect and acquire a time at which the image including the face image is transferred together with the face image and a transfer position (position information of the transfer camera). That is, location information can be easily obtained by being matched with the camera location information or the camera identification information for each delivered image.

 In this way, the information (face recognition information, location information, time information) obtained by the feature point detector 33 is transmitted to the comparison determination unit 50.

The database 40 stores information on registrants including registered patients (customers) and staffs of the hospital, matching facial information. In addition, the database 40 is divided into patients for appointment, inpatients, and patients undergoing treatment for each department, and a schedule table (information) for each patient is stored and managed. Data stored and managed in the database 40 as described above may be transmitted and stored through the information acquisition unit 30, stored through the input unit 70, or input through the unmanned terminal device 100, and managed. Can be.

The comparison determining unit 50 compares the facial recognition information obtained from the information obtaining unit 30 with the registrant information stored in the database 40 to determine whether the recognized person is a registrant, a registrant if an employee, or an employee if a doctor. If not, or if the registrant is a registered patient, whether a non-reserved patient or inpatient, check and determine the classification. Thus, the information separated by the comparison determination unit 50 is transmitted to the management server 90, so that the management server 90 is optionally stored and managed in the database 40.

The information transmitter 60 receives the information obtained from the management server 90, and transmits the processed and generated information to information including text and image information to a terminal of a target person. Here, the terminal of the subject may include a representative terminal 210 of the medical department, a registered patient terminal 220, security team terminal 230, security guard terminal 240, inpatient guardian terminal 250, and the like. . Accordingly, the information transmitting unit 60 sends the necessary information to the terminal of the target subject as a text message or a voice message according to the instruction of the management server 90.

In addition, the information transmitter 60 may transmit information to output the information processed and generated by the management server 90 through the bulletin board (board) 280 or the indoor broadcasting module (speaker) 270 installed in the park. . For example, the schedule information for the reserved patient may be displayed on the bulletin board of the medical department, or the emergency call signal of the employee including the medical staff may be transmitted through the bulletin board 280 or the in-house broadcasting module 270.

The input unit 70 may include a plurality of computer devices and terminal devices installed in each reception desk, medical department, ward, etc. of a hospital building and used by an employee. Through the input unit 70, information about the new registration subject, information and schedule information according to a patient's reservation, reception, medical treatment, examination, treatment, prescription, hospitalization procedure, surgery, discharge, etc. are input, and the input information is managed. It is provided to the server 90 and stored and managed in the database 40.

The input unit 70 may communicate with each other through the Internet or an internal communication network, and may include a computer device or a portable terminal device connected to the management server 90 to check information stored in the database 40 within an acceptable range. desirable.

The monitor 80 may be disposed where necessary, such as the central control room of the hospital building, the situation room of each ward, the guard room, etc. The screen of the monitor 80 includes staff members including outpatient information and medical staff of the inpatients processed by the management server. The location information of is identified and displayed. Therefore, the person in charge of the situation room, guard room, etc. can check and grasp the position of the doctor or inpatient at any time, there is an advantage that can quickly respond to the emergency / emergency situation.

The web (app) server 110 provides a web page and an application so that a customer can register and register a member using a portable terminal (patient terminal) 220 or a computer 260 through a communication network such as the Internet. to provide. To this end, the web (app) server 110 is provided with a subscription module 111 and the reservation management module 113.

In other words, the web (app) server provides a homepage and an application for registering or making a reservation for a patient customer to the customer, and accessing the homepage or accessing through an application to register as a member. ) Receives the identification information including the facial recognition information of the customer with the basic information including the name, address, etc. of the customer, and registers the customer as a member of the hospital and stores it in the database 40.

In detail, the membership registration module 111 receives and provides a menu for inputting the basic information when the membership registration process is performed through the customer's homepage or application. In addition, instead of the conventional resident registration number or the like as information for personal authentication, it receives and receives facial recognition information. At this time, the customer's facial transplant information is input by requesting at least three different images taken from at least three different angles, including the front image of the customer's face, the left image taken from the left, the right image taken from the right. .

In addition, more preferably, it is preferable to request and receive a face-photographed image generated by photographing within the last six days. Therefore, the customer is photographed with the built-in camera 223 of the patient's terminal, that is, the patient terminal 220, and enters the photographed facial image through the homepage or application displayed on the screen 221 of the terminal 220 to join the membership. The procedure can be easily performed.

Of course, in the case of registering using the computer 260, a face image may be photographed and input using a separate external or internal camera 263.

In addition, the reservation management module 113 includes a face recognition information of the registrant when a registered customer requests a hospital appointment by accessing a web page or an application using the patient terminal 220 or the computer 260. After receiving the identification information and performing personal authentication, upon completion of personal authentication, the client (registrant) receives the treatment request and stores the received information in the database 40. In addition, the received information is transmitted to the medical department reserved by the patient.

In addition, the reservation management module 113, after receiving the appointment of the treatment, it is to send the appointment information, that is, the appointment date and time, the information about the reserved medical department and the doctor in charge to the appointment patient by text information, as well as email good.

That is, in detail, the reservation management module 113 requests facial recognition information for personal authentication in addition to the basic information input when a registrant requests a medical appointment through a web page or an application. At this time, the facial recognition information requested for reservation requests facial recognition information taken in real time, and also requests a plurality of photographing images taken at predetermined angles from each of the left and right sides together with the front image photographed in front of the face. To receive the input. In addition, the reservation management module 113 compares the input basic information and face recognition information with the registrant identification information stored in the database 40, and determines that the basic information matches and the face recognition information matches within a predetermined error range. If so, the personal certificate is treated as confirmed and the reservation is processed. Here, the predetermined error range is preferably set within 0.1%, but may vary depending on the degree of development of facial recognition technology. In addition, it is possible to increase the accuracy of personal authentication by using the back digit (four digits) of the phone number among the basic information input through the reservation management module 113 together with the face recognition information, in which case the error range of the face recognition information The effect of lowering even more.

1 to 8, first, the entrance camera 10 and the indoor camera 20 installed in the entrance and exit of the hospital to shoot people passing through the entrance and people in a specific area of the room (S10).

The images captured by the doorway camera 10 and the indoor camera 20 are transmitted to the information acquisition unit 30, and the information acquisition unit 30 analyzes the received image to obtain face recognition information of a person in the image. In step S11, information on a location and a photographing time of a face recognized person is obtained.

Information obtained from the information acquisition unit 30 (face recognition information, location information, time information) is transmitted to the comparison determination unit 50.

The comparison determination unit 50 compares the information acquired from the information acquisition unit 30, that is, facial recognition information, with the registered information stored in the database 40 to determine whether the registrant is a non-registrant (S12). Here, the database 40 stores and manages information about the staff, inpatients, and customers (registrated patients) of the hospital with facial recognition information, and newly received patient and staff information is updated and stored.

If it is determined in step S12 that the registrant is not a registrant, it is possible to check whether or not the patient is a new patient (new customer) through the reception process or the reception process of the unmanned terminal device 100 (S13). And, if a new patient is made through the reception of a new patient, it may be made at the reception window that the staff is accommodated, or may be made through the unmanned terminal device 100 provided separately (S15). To this end, a reception camera 102 for photographing the face of the receptionist may be installed at the reception window, and the reception camera is integrally installed or separately installed in the unmanned terminal device 100 to photograph the face of the reception customer. Can be installed.

As described above, in the case of the reception camera 102 provided at the reception desk, the reception staff is provided through the screen of the input device in the process of inputting personal information of the receptionist customer through the input device (computer) in the reception process. By receiving and selecting the face image of the screen to be received by the reception staff, it can be registered and matched with the input customer information, the registration process is transferred to the database 40 through the communication network and stored and managed. The new patient information newly received and processed is transmitted to the management server 90.

On the other hand, in the case of the face information check result obtained in the step (S12) registrant is determined by comparing whether the staff including the medical staff or the patient (customer) (S16).

If it is confirmed in the step (S16) that the employee, including the medical staff, and confirms again whether or not the confirmed employee is a doctor (S17), otherwise ignores and excludes the subject from the tracking management target (S18).

In the case of an employee including a medical staff, the employees are classified by job group (S19a), the location information and the employee identification information of each classified job group are acquired, updated, stored, and managed (S19b).

In addition, if the employee is recognized through the camera 10 of the doorway, that is, confirming that the shooting position was the doorway (S19e), and if it is confirmed that the picture was taken at the doorway, the management server is the entrance time information (commute time information) of the employee Transfer to the mobile terminal of the employee (S19f). Then, the face is recognized at the entrance and commute is confirmed, and the commute information for the employee is created and stored in the database (S19g).

In addition, more preferably after the access time information of the employee is obtained before the step (S19g), only if the other access information is not confirmed within a predetermined time to generate the commute information, the access information within the set time If is confirmed, commute will be separated and can be handled as a simple outing. As such, it is possible to automatically handle the employee's commute management using facial recognition, so that a separate system for commute management is not required.

In addition, in the case of an emergency patient (S19c), the employee management module 91 is based on the location of the emergency patient and emergency patient information, calling the personnel located at a short distance among the employees of the job group immediately put into the emergency patient (S19d). In this way, by classifying employees by job group, checking their location, and managing them, when an emergency occurs, the employees of the job group can be called immediately, but the nearby employees can be called immediately, so that they can respond to emergency patients more quickly. There is this.

That is, in the case of the employee including the medical staff identified in the step (S17), classify by job group based on the facial recognition information, matching the location information and time information of the classified employee to the facial recognition information to the management server (90) The transmission information is updated and stored in the database 40. Then, the management server 90 continuously tracks the location of the employee to quickly grasp the position of the job group (doctors, etc.) in the event of an emergency (when an emergency patient occurs, etc.), the speaker or In addition, the mobile phone, a display board, etc. can be called by the employee, and also in the department of medical care needed by the doctor can search the location information of the doctor through the database (40) to immediately check and grasp, in case of emergency patients or emergency There is an advantage to deal with immediately.

On the other hand, if it is determined in step S16 that the registrant is a patient, the comparison determination unit 50 checks again whether it is a reserved patient or a non-reserved patient compared with the list of reserved patients stored in the database 40 (S20).

When confirmed as a reserved patient in the step (S20), the information confirmed in the comparison determination unit 50 is transmitted to the management server 90, tracking management of the reserved patient in the patient management module 91 of the management server 90 Done.

That is, the reserved patient management module 91 automatically accepts and processes the next schedule of the reserved patient according to the confirmed location of the reserved patient, and provides the reception processing result as text to the portable terminal 220 of the reserved patient ( S23a). In addition, when the reservation patient management module 91 confirms that the patient visited the hospital through the entrance through the face recognition, the reservation patient management module 91 automatically updates and manages the identified face recognition information in the database 40 (S23b). In other words, by acquiring facial recognition information automatically and managing it each time you visit the hospital, it is possible to update and manage the change in the facial recognition information of the patient as time passes, thus managing the latest facial recognition information. Because it is managed by the system, the accuracy and reliability of personal authentication can be increased and the error rate can be lowered.

Specifically, the reservation patient management module 91 automatically processes the reservation patient when the reservation patient is confirmed through the entrance, and receives the reservation time and treatment waiting time information from the reservation department. 220) (S24). For example, your reservation is' Orthopedic Surgery, and the reservation time is 14:30. You have 20 minutes left and 3 people waiting, so please come to the reservation section 10 minutes before. '

In addition, the patient management module 91 recognizes and confirms that the patient arrives in the reservation department through facial recognition through an image taken by the indoor camera 20 installed for each location (S25a). When it is confirmed that the reservation patient has arrived at the reservation department, the patient management module 91 automatically transfers the arrival information of the reservation patient to the reservation department (S25b).

As such, the arrival information of the reservation patient is transmitted to the reservation department, so that the reservation department can calculate the number of waiting patients and provide it to the patient management module 91. The reservation patient can allow the medical procedure to be performed normally.

Further, if the patient is not confirmed by the facial recognition at the reservation department 10 minutes before the reservation time, the patient management module 91 asks you to come to the reservation department immediately because the reservation waiting time is imminent with the mobile terminal of the reservation patient. Sending confirmation information is a good idea. Therefore, the patient can see the appointment in another place to check the reservation time, and immediately go to the appointment department to see the normal treatment can effectively prevent the patient treatment procedure and delay the patient waiting time.

After the reserved patient receives medical treatment, when the result of the appointment patient's medical treatment and the next schedule is input through the input unit 70, that is, the person's computer, the next schedule information input by the reserved patient is managed by the doctor. It is transmitted to 90 (S26).

Here, the next schedule information may be various cases such as issuing a prescription, retesting after examination, treatment after examination, hospitalization decision, and the like. The patient management module 91 according to the next schedule information determined for each patient among the various schedule information may be a patient. The location of the track through facial recognition management, and can be transmitted to the person in charge of the terminal 210.

The processing according to the schedule information will be described in detail below.

<Prescription Issuance Process after Treatment>

In the first method, the medical department can directly store and issue prescriptions directly, which are currently used in general hospitals.

In the second method, as shown in FIG. 5, the patient makes a prescription issuance request at the counter or unmanned terminal device 100, and then the prescription issuance request information is received at the management server 90 (S201).

Then, the management server 90 confirms through face verification after facial recognition whether the received prescription issuance request information and the patient match (S202). In this case, the indoor camera 20 or the reception camera 102 may be used for facial recognition of the patient, and if the face recognition information and the prescription issuing requestor match, the user may be identified.

When the identification is completed in the step (S202), the patient management module 91 checks the information stored in the database 40 to confirm that the storage is completed (S2043), if it is confirmed that the storage is made, the patient management module ( 91 allows issuing a prescription through the unmanned terminal device 100 or through a window (S206).

On the other hand, if it is confirmed in the step (S202) that the storage is not made, the patient management module 91 is a textual information about the storage procedure through the touch screen of the terminal 220 or the unmanned terminal device 100 of the patient. Gives guidance (S204).

And after receiving the patient's face recognition through the window or through the unmanned terminal device 100, the storage processing result is transmitted to the management server 90 and the database 40.

<Recare or treatment after examination (treatment)>

Referring to FIG. 7, when a doctor needs to check or treat a doctor after treatment in a medical department, a test or treatment schedule is input using an input unit 70 (computer), and the test (treatment) schedule information is managed by the management server 90. It is forwarded to the laboratory (treatment room) through the communication network.

And the patient management module 91 transmits the test (treatment) schedule information to the terminal 220 of the patient by text, the patient checks the test (treatment) items and the laboratory (treatment room) location and the test (treatment) time, etc. Guide them to a test.

The reserved patient arrives at the laboratory (treatment room) and waits for the examination (treatment). Then, if it is confirmed that the patient's facial recognition information is acquired through the image taken using the indoor camera 20, the patient's schedule is checked and visited for examination (treatment), the patient management module 91 corresponds to the corresponding image. Notification of the arrival and waiting information of the patient to the examination room (treatment room) to automatically receive processing (S302).

And the patient management module 91 in the examination room (treatment room) once again checks through the face recognition that the patient himself (S303). When the patient's identification is confirmed, the person in the laboratory (treatment room) guides the patient who arrives for the examination (treatment) and examines (treat) the test (treatment) items on the schedule, and the result of the test (treatment) is the laboratory (treatment room). Input through the input unit 70 of the) is transmitted to the management server 90 and the database 40 (S304). Then, the doctor in charge is provided to check the test (treatment results) to the database (40). Of course, the doctor in charge directly to the test and treatment may be input via the input unit 70.

In addition, after the completion of the examination (treatment), the patient management module 91 checks the next schedule of the patient, and goes back to the medical department to check whether the schedule for receiving re-care or storage schedule (S305).

If it is confirmed that the re-schedule schedule is scheduled in step S305, as described above with reference to Figure 3, the patient management module 91 is managed from the step (S25) to enable the patient to receive medical care in the department Manage.

And if it is confirmed in the storage schedule in the step (S305), the patient management module 91 is managed through the step (S201), as described above with reference to the storage process and the prescription issuance process through the face recognition It can be managed to be done along with the verification process.

<Hospitalization decision after medical treatment>

Referring to FIG. 8, when a doctor makes a hospitalization decision and inputs a patient's hospitalization schedule into the input unit 70, the hospitalization schedule is stored in the database 40 and transmitted to the management server 90.

Then, the patient management module 91 goes to the reception window for the admission procedure to the patient terminal 220 and sends the text of the information about the reception window location and the hospitalization procedure and the hospitalization procedure so as to receive the admission procedure.

When the patient, that is, the patient to be admitted to the reception window, facial recognition is made through the indoor camera 20, and when the patient is recognized as the patient to be admitted, the reception for the admission procedure is automatically processed (S401). Therefore, the reception counter staff only needs to confirm that the reception processing result and the patient to be hospitalized actually match. In this case, the reception desk staff may guide the patient to move to the ward to be hospitalized, or the patient management module 91 guides the patient to move to the ward with the location information of the ward to be admitted to the terminal 220 of the patient to be hospitalized. I can send a character to say. Of course, an employee (nurse) may accompany the patient and lead to the inpatient ward.

When the patient to be hospitalized moves to the ward, the patient to be hospitalized is photographed by the indoor camera 20 installed in the ward, and facial recognition is performed, and the patient management module 91 checks whether the patient is hospitalized. It may be (S402).

The patient management module 91 transmits the face-recognized information to the person in charge of the hospital ward or the management monitor of the hospital ward (S403).

Then, the person in charge of the ward guides, provides, and explains the necessary information according to the hospitalization, the patient management server 91 can provide the necessary information at the time of admission to the terminal 220 of the patient.

When the patient goes to the hospitalization room, the patient's hospitalization fact information is input through the input unit 70 provided in the ward (S404), and the input information is transmitted to the database 40 and the management server 90.

After the patient is hospitalized as described above, the inpatient management module 92 tracks and manages the inpatient entrance and exit of the inpatient hospital, the schedule of treatment and surgery through facial recognition.

In addition, the inpatient management module 92 checks whether the inpatient is a patient to be treated or a patient to be treated according to the schedule information input by the attending physician for each inpatient, and separately manages the patient and the patient. Done.

The inpatient management module 92 transmits the schedule information of the inpatient to the patient and the caregiver terminal 220 and 250, respectively (S405). Therefore, inpatients can easily check the schedule information, such as their examination, treatment, treatment surgery.

And when the operation date or the test or treatment date, the inpatient management module 92 checks whether the patient or surgery (treatment) patient for each inpatient (S406), tracking the inpatient according to the surgery or treatment (inspection) schedule Manage.

First, when the inpatient is a patient to be operated on, the inpatient management module 92 undergoes an identity verification procedure before the medical operation through facial recognition information of the patient entering the operating room (S409). And if the patient and the facial recognition subject to the operation, the monitor of the operating room and the operating personnel to notify the fact of identity through the monitor or the portable terminal of the operating room.

In addition, the employee management module 91 checks the employees (doctors, nurses) entered the operating room through facial recognition, and whether the face-recognized staff is in charge of the operation doctor and staff matching the surgery schedule of the face-recognized patient in the operating room Check through the schedule information stored in the database (40). And when the check result of the employee information, by storing the information in the management server 90 and the database 40 to manage. You will be able to better manage the medical doctors and staff.

After the operation, when the information of the operation process and the operation result are input through the input unit 70 of the operating room, the input information is stored and managed in the database 40 (S410). Of course, the inpatient management module 92 may control to photograph the operation process from the camera installed in the operating room, and control the image of the operation process is stored and managed in the database (40). Therefore, the doctor in charge can check the operation process and the surgical results stored in the database 40, thereby more accurately observing and managing the patient's management and postoperative progress.

 In addition, by storing and managing the image taken of the surgical process, and matching the image stored with the facial recognition information and stored, it is possible to effectively manage the operation and treatment process.

In this way, the authentication of the patient as well as the staff in the operating room through the facial recognition, it is possible to more accurately identify the patient and staff to prevent medical accidents or negligence in advance.

In addition, if the inpatient is confirmed as a patient for treatment (inspection) in the step (S406), the inpatient management module 92 is authenticated through face recognition in the examination room (treatment room) (S407), examination and treatment Can be done.

After the test or treatment, a test (treatment) result is input through an input unit of a laboratory (treatment room), and the input information is stored and managed in the database 40 (S408).

On the other hand, if the facial recognition patient in step (S20) is not a reservation, the comparison determination unit 50 checks whether the inpatient or non-scheduled (registered outpatient) (S21).

If it is confirmed in the step (S21) that the non-reservation, the management server 90 discards the information obtained through facial recognition. And the non-reserved person can be accepted through the reception desk or through the unmanned reception terminal 100 (S22), after the reception process is made as described above, the patient management module 91 is the same way as the non-reserved patient. Tracking can be done.

In addition, when the face-recognized registrant is identified as an inpatient in step S21, as shown in FIG. 4, the in-patient management module 92 transfers the face-recognized location and time information to the corresponding overwork of the inpatient. Transmission or storage management in the database 40 can be checked by the employee of the department at any time through the computer (S110).

In addition, the inpatient management module 92 may transmit the location and confirmation time of the inpatient to the portable terminal of the guardian and the portable terminal of the person in charge (doctor or nurse).

In addition, the inpatient management module 92 checks whether the location of the face-recognized inpatient is inside or outside the building through the obtained information (S111). If the patient is in the building as a result of the hospitalization patient management module 92 tracks only the location and confirmation time information of the inpatient.

On the other hand, if it is confirmed that the face-recognized inpatient is outside the building, the inpatient management module 92 stores and manages the captured image information in the database 40, and sets it as a main monitoring target (S112).

Subsequently, the inpatient management module 92 transmits the information about the inpatient set as the main monitoring director to the guard terminal 240 or the monitoring monitor of the guard room so that the guard can be called by the guard (S113).

In addition, the inpatient management module 92 counts the time when the face-recognized inpatient is out of the building and determines whether the set time has been exceeded (S114). If it is determined that the unauthorized departure is notified to the fact of the unauthorized departure of the inpatient to the monitor or terminal 230 of the security team (S115).

In addition, the inpatient management module 92 notifies the inpatient of the unauthorized departure to the terminal 210 of the person in charge (doctor, nurse) of the inpatient to the management monitor, and also to the terminal of the caregiver 250 Notification of unauthorized departure of the inpatient (S116).

As such, by tracking and managing according to the confirmed position of the inpatient, it is possible to clarify not only the safety accidents caused by the unauthorized departure of the inpatient, but also the matters of the responsible materials, and the advantage of more thoroughly managing the inpatient. have.

And the inpatient management module 92, if it is confirmed through the face recognition that the patient who went out of the building again into the building, except from the list of the main monitoring subjects, the terminal of the person in charge and the mobile terminal of the guardian Send to 250.

In addition, referring to Figure 9 describes how to register a member through facial recognition as follows.

First, a customer accesses a web page or an application provided by a web (app) server 110 by using a terminal 220 or a computer 260 of a patient, and applies for membership according to a member information menu provided by a web page or an application. (S610).

Then, the member registration module 111 requests to input personal authentication information (face recognition information) together with the basic information (S611).

Then, the membership registration module 111 receives the basic information and facial recognition information that the customer delivers through the web page or application (S612).

The registration module 111 determines whether the received face recognition information, that is, the face image is recognizable (S613), and satisfies the face image (distance, resolution, shooting angle, shooting date, etc.) in an unrecognized state or a desired standard. If not, re-shooting (re-entry) is requested (S614).

Then, the customer can shoot with the camera 263 connected to the camera 222 or the computer 260 of the terminal 220 of the patient (S615), and can directly input the captured image.

On the other hand, if it is determined in step S613 that the input image is a recognizable image, the member management module 111 matches the input face recognition information with the basic information to generate the customer identification information to register the member Process (S616).

The registration management module 111 stores the registered member information in the database 40 (S617).

As described above, the customer can register a member by accessing a web page or an application provided by the web (app) server 110 with a mobile terminal or a computer, and registers a member by inputting facial recognition information together with basic information when registering the member. It is possible to easily register through the face recognition information that has identity while protecting personal information.

In addition, with reference to Figure 10, it will be described how a registered member appointments medical treatment using facial recognition.

First, a registered member requests a medical appointment by accessing a web page or an application provided by a web (app) server 110 with a mobile terminal or a computer (S620).

Then, the reservation management module 113 requests to input personal authentication information (face recognition information) together with the basic information (S621).

Then, the reservation management module 113 receives the basic information and facial recognition information that the customer delivers through the web page or application (S622).

When the reservation management module 113 is inputted with the basic information and facial recognition information, it is checked by comparing with the registration information stored in the database 40 (S623).

If the comparison result input information does not match the registration information in step S623, the reservation management module 113 requests re-input (re-shooting) (S624). In other words, it is requested to re-enter the input facial image or to re-take the input.

Then, the registrant shoots with the camera 222 or the camera 263 connected to the computer 260 of the terminal 220 (S625), it is possible to input the captured image again.

On the other hand, if it is confirmed that the information entered in the step (S623) and registration information is consistent, the reservation management module 113 receives and processes the input medical appointment request information (S626).

The reservation management module 113 stores the received treatment reservation information in the database 40 (S627), and transmits the received treatment reservation information to the reservation department (medical department) and the reservation person, and sends a text or Can be sent by email (S628).

In addition, the reservation management module 113 checks whether the reservation cancellation information is input by the reservation patient until the reservation date (S629), and when the reservation cancellation information is input, processes the reservation cancellation (S630). In addition, the reservation cancellation information may be stored in the database 40 and notified to the medical department, and the cancellation completion information may also be transmitted to the terminal of the canceller.

In addition, it is preferable that the cancellation procedure is performed after confirming personal authentication using facial recognition information even when the cancellation request is made.

As described above, according to the hospital management method using the facial recognition of the present invention, facial recognition of people taken through the images taken by using a plurality of cameras 10, 20, 102 installed in and outside the hospital building The information can be obtained and classified into registrants and non-registrants using the obtained information, and the registrants can be automatically tracked and managed separately by being classified as reserved patients, non-reserved patients, employees and inpatients.

In addition, in the case of non-registrants, when switching to a registrant through tracking management, a newly registered target person can be set as a non-reserved patient to be tracked.

Therefore, it is possible to reduce the cost of operating and managing the hospital, to reduce the manpower, and to reduce the time for unnecessary reception and waiting for the patient, thereby providing prompt and accurate medical services. Can increase.

In addition, it is possible to automatically manage the inpatient thoroughly and thoroughly, to reduce the human and material costs of the inpatient management, and to accurately account for the responsible material due to the unauthorized departure of the inpatient, as well as the unauthorized Safety problems due to departure can be prevented and minimized.

[Description of the code]

10. Entrance Camera 20. Indoor Camera

30. Information acquisition unit 40. Database

50. Comparison unit 60. Information transmitter

70. Input 80. Monitor

90 .. Management Server 100... . Unmanned terminal equipment

102. Reception camera 110. Web (app) server

111. Membership Registration Module 113. Reservation Management Module

210 .. Patient's terminal 220. Patient's terminal

230 .. Security terminal 240. Security guard terminal

250. Guardian terminal 260. Computer

270..In-door broadcasting module (speaker) 280 ..

Claims (19)

1. An entrance camera photographing an entrance of a hospital by photographing an entrance of a hospital;

   An indoor camera installed in a hospital to photograph a specific place;

   An information acquisition unit for analyzing facial images captured by each of the doorway camera and the indoor camera to obtain face recognition information of a person in the image, and to acquire location and shooting time information of the face recognized person;

   A database in which identification information of registrants including registered patients and staff of the hospital is matched with facial information and stored, and schedule information for each patient is updated and stored and managed;

   A comparison judgment unit which checks whether the recognized person is a registrant by comparing the facial recognition information obtained by the information acquisition unit with the registrant information stored in the database, and determines whether the recognized person is an employee, a reserved patient, a non-reserved patient, or an inpatient. ;

   An input unit for inputting information on a new registration subject and information on a patient's reservation, medical treatment, examination, treatment, surgery, prescription, admission procedure and discharge procedure;

   A management server that tracks and manages a schedule through facial recognition according to schedule information stored in the database for each subject of the registrant identified by the comparison determination unit;

   An information transmitter for transmitting the information processed and generated by the management server to at least one of a mobile terminal, a hospital speaker, and a bulletin board of a target person preset;

   When a customer registers as a member through a web page or application that enables online membership using a portable terminal or computer connected to a communication network, the customer receives identification information including the name and face recognition information of the customer. Membership module to register as a member,

   When a registered customer requests a hospital appointment through the above web page or application using a portable terminal or a computer, the registered customer receives identification information including facial recognition information of the customer and processes personal authentication to process the appointment of the client. Includes; reservation management module for processing;

   Further comprising a web (app) server for providing the web page and the application to the customer,

   The reservation management module requests facial recognition information taken in real time when requesting facial recognition information for personal authentication of a customer applying for a reservation, and receives and inputs a plurality of photographed images taken from different angles. Hospital management system using facial recognition, characterized in that the processing.
2. The method of claim 1, wherein the management server,

   An employee management module that tracks and manages the location and confirmation time of the employee when the face-recognized subject is an employee including a medical staff;

   A patient management module for dividing the patient into a reserved patient and the same day's reception patient and processing and managing a schedule including face recognition, treatment, prescription, treatment, and examination through face recognition when the facial recognized subject is a patient; And

   Hospital management system using facial recognition, comprising: a patient inpatient management module that tracks and manages the location of the inpatient on the basis of the face recognition information through the door camera, if the subject recognized in the patient .
3. The method of claim 2,

   The inpatient management module,

   By checking the entrance and exit time of the inpatient patient recognized by the entrance camera and facial recognition, and storing the shooting information and the outing time information when confirming the outing, and selected as the main monitoring target to control to send a confirmation command to the guards Hospital management system using facial recognition, characterized in that to call the security guard.
4. According to claim 3, The inpatient management module,

   If the inpatients who go out to the doorway do not return within the set time from the time of going out, the estimated command signal for tracking and checking out the inpatients who go out is sent to the security team or the guard's terminal, and the department of the inpatient who goes out Hospital management system using facial recognition, characterized in that to transmit the outgoing information of the inpatient to the person in charge of the terminal and the guardian terminal.
5. The method of claim 2, wherein the patient management module,

   When the reservation patient is confirmed through the entrance camera, the reservation patient is processed to be automatically received by the reserved medical department, the reservation waiting time information is obtained from the reserved medical department, and the reservation time, waiting time and waiting information are carried by the reserved patient. The hospital management system using facial recognition, characterized in that the transmission to the terminal, and confirming whether the reservation patient arrives at the reserved medical department through the indoor camera and transmits the arrival information of the reserved patient to the reserved medical department.
6. The method of claim 5, wherein the patient management module,

   The patient's location and arrival time according to at least one schedule selected from a prescription issuance procedure, a storage procedure, an inspection procedure, a treatment procedure, and an inpatient procedure among the next schedule information of the patient input through the input unit after the appointment at the appointment medical department The hospital management system using facial recognition, characterized by tracking and processing through the recognition and control to transmit the schedule information of the patient to the portable terminal of the patient.
7. The method of claim 2, wherein the staff management module,

   Update and store the information (location information, time information and facial recognition information) acquired for the staff including the medical staff in the database, and call the nearest staff in the emergency situation in a hospital through a mobile terminal or in-house broadcasting. Hospital management system using facial recognition, characterized in that for generating and transmitting the call information.
8. The method of claim 2, wherein the patient management module,

   Among the visitors who are recognized as registrants, the patient's information received on the day through the reception desk or the reception terminal device is matched with the facial recognition information and stored in the database. The hospital management system using facial recognition, which tracks and manages through facial recognition, and controls to transmit the schedule information of the reception patient on the day to the portable terminal of the patient.
9. The method of claim 2,

   The patient management module is a hospital management system using facial recognition, characterized in that for acquiring the face recognition information of the patient who visited the hospital and periodically updated and stored in the database.
10. The method of claim 2,

    The employee management module stores the confirmed information by checking the entrance and exit of the employee recognized by face and face and the time taken by the camera, and transmits the information to the terminal of the employee to automatically save and manage the commute time Hospital management system using facial recognition, characterized in that.
11. The method according to any one of claims 1 to 10,

    It provides a touch screen for a registrant or a new patient to visit and perform the reception procedure directly, and transmits the received information to the management server, and receives the patient's completed information from the management server. An unmanned terminal device which processes a patient's storage procedure and a prescription issuing procedure unattended; And

    A reception processing camera photographing a patient receiving through the reception terminal device or a reception window to obtain facial information;

    And the information photographed by the reception processing camera is matched with the information of the patient received at the reception terminal or the reception window and stored in the database.
12. The method of claim 11,

    Hospital management system using facial recognition further comprises a monitor for displaying outgoing information of the inpatients and staff location information processed by the management server on the screen.
13. A photographing step of photographing a person entering and leaving a hospital and a person at a specific place inside the hospital;

    An information acquiring step of acquiring face recognition information by recognizing a face of a person photographed by analyzing the image photographed in the photographing step, and obtaining position information and time information from which face recognition information is obtained;

    Comparing facial recognition information acquired in the information obtaining step with facial recognition registration information stored in a database to determine whether the registrant is a non-registrant;

    Classifying the registrant identified in the verification step into a reserved patient, a non-reserved patient, an employee, and an inpatient;

    A reservation patient management step of step-by-step checking and processing the next schedule of the reservation patient based on the shooting location and the shooting time of the reserved patient classified in the classification step;

    Authenticating the patient through facial recognition using a camera before medical treatment in at least one of a laboratory, a treatment room (including a blood transfusion, an anticancer drug, etc.) and an operating room when a specific medical activity of an outpatient or inpatient is determined;

    When the face-recognized registrant is identified as an inpatient in the classification step, transmitting the position, time information, and information obtained through facial recognition of the inpatient to the terminal of the person in charge;

    Confirming whether the inpatient is out of the building, storing the acquisition information when the inpatient is out, and designating the inpatient who is out of the building as the main monitoring target;

    Providing information for the security guard to check by transmitting call information and outgoing inpatient information to the security guard terminal;

    Checking whether the outgoing time of the inpatient exceeds the set period, and if exceeded, sending outpatient outgoing information to the terminal of the security team, the person in charge of the terminal and the guardian's terminal;

    A member registration step of accessing a web page or an application provided by a web (app) server using a mobile terminal or a computer and receiving basic information and facial recognition information from a member when a member requests a membership registration; And

    When a registered member accesses a web page or application provided by the web (app) server using a mobile terminal or a computer, requests a personal certification through facial recognition information from the registrant, and inputs the facial recognition information and the registered facial. And a reservation step of processing a medical appointment after completing personal authentication by comparing the recognition information.

    The facial recognition information requested to the customer in each of the member registration step and the reservation step includes a plurality of face-photographed images of the customer's face taken in different directions.
14. The method of claim 13,

    A non-reserved patient management step of processing the non-reserved patient's next schedule step by step based on the non-reserved patient's reception time and reception position when acquiring the reception information of the non-reserved patient classified in the classification step; Hospital management method using facial recognition further comprising.
15. The method of claim 13, wherein the reserved patient management step,

    Automatically receiving and processing the reservation patient when the reservation patient confirms the entrance of the hospital;

    Transmitting the reservation waiting time and the number of waiting patients in the reserved medical department to the portable terminal of the reserved patient after the automatic reception of the reserved patient;

    Confirming, through facial recognition, a state of arrival of the reservation patient to the appointment medical department, and delivering arrival information of the reservation patient to the reservation department;

    And a schedule management step of managing and processing a next schedule by checking contents of a next schedule input together with the completion information of the reserved patient in the reserved medical department.
16. The method of claim 15, wherein the schedule management step,

    Confirming the storing process through facial recognition, and confirming the stored patient through facial recognition and issuing a prescription;

    An examination (treatment) management step of using facial recognition to track at least one process of the examination and treatment of the patient; And

    An admission management step of transmitting and guiding the patient's admission procedure guide information to the terminal of the patient when confirming the admission decision information of the patient, and confirming and tracking and managing the patient moved to the ward through facial recognition; Hospital management method using facial recognition, characterized in that it comprises at least any one step.
17. The method according to any one of claims 13 to 16,

    Classifying the employee by job group in the classifying step, and updating and storing information obtained about employees classified by job group in a database;

    In case of an emergency in the hospital, find the employee located in the nearest location based on the information stored in the database, and send the calling information to at least one of the mobile terminal, the speaker and the bulletin board of the employee Hospital management method using facial recognition further comprising ;.
18. The method of claim 17,

    Acquiring access information and access time information of the hospital entrance of the employee, transmitting the obtained information to the mobile terminal of the employee, and storing the information in the database to automatically process the commute management of the employee; Hospital management method using facial recognition characterized in that.
19. The method according to any one of claims 13 to 16,

    A patient information updating step of acquiring face recognition information of a patient who has visited the hospital, and periodically updating and storing the face recognition information of the patient in a database; And

    Updating the facial recognition information of the employee by a predetermined period of time; Hospital management method using a facial recognition further comprising a.

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