CN110660472A - Hospital management early warning system and method based on face recognition technology - Google Patents
Hospital management early warning system and method based on face recognition technology Download PDFInfo
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Abstract
The invention discloses a hospital management early warning system based on a face recognition technology, which comprises a nurse station information processing platform, a face recognition module and a warning module, wherein the nurse station information processing platform is used for acquiring patient information, modeling according to a face image and extracting corresponding face features; the portrait big data platform comprises a database and a database, wherein the database is used for storing patient information and face information; and the ward monitoring and defense setting platform is used for collecting the faces of the patients entering and exiting the ward and controlling the patients to enter and exit the ward according to the database. A hospital management early warning method based on face recognition technology comprises the steps of inputting face images of patients, and extracting corresponding face features; integrating and storing the patient data; the human face of the patient who comes in and goes out the ward is collected, and the comparison is carried out with the database to control the patient to come in and go out the ward. The invention applies the face recognition technology to the ward management, can effectively control the hospitalized patients to go out, and can carry out early warning when going out in advance, thereby effectively solving the problem of insufficient hands of medical personnel, greatly improving the internal operating efficiency of the hospital and saving manpower and material resources.
Description
Technical Field
The invention belongs to the technical field of psychiatric hospital management and control, and particularly relates to a hospital management early warning system and method based on a face recognition technology.
Background
The critical behaviors such as impulsion, hurting people, walking outside, destroying things, self-injury, suicide and the like are easy to appear on the inpatient of the psychiatric hospital, and the prevention of the critical behaviors is the key point of nursing work in the psychiatric ward. Outward walking is one of the most common adverse events in the affected area, and how to take effective measures to perform targeted prevention is of great importance. There are two major factors that contribute to the outward walking of hospitalized patients: patient-independent factors: loss of self-knowledge, denial of hospitalization with the disease; after taking antipsychotics, patients develop extrapyramidal reactions of akathisia; is governed by delusions of auditory hallucinations, etc.; disturbance of consciousness and orientation; and defect management of the ward: the special hospital generally has the phenomenon of insufficient doctor-patient ratio, and medical care personnel with limited ward have certain difficulty in timely supervision of each patient. The first factor can be effectively inhibited through medical means, and the second factor needs to adopt advanced prevention and control technology to assist medical care personnel in the ward to carry out effective management. However, the anti-drop design of the currently generally adopted wrist strap technology is not suitable for patients with mental diseases, and has adverse effects on the psychological rehabilitation of the patients.
Disclosure of Invention
In order to solve the technical problems, the invention provides a hospital management early warning system and a method thereof based on a face recognition technology, which can effectively control and early warn the outgoing of the inpatients in the psychiatric hospitals.
A hospital management early warning system based on face recognition technology includes:
the nurse station information processing platform is used for acquiring patient information, wherein the patient information comprises basic information of a patient and a face image, modeling is carried out according to the face image, corresponding face features are extracted, and the face image and the face features are integrated into face information;
the portrait big data platform comprises a database and a database, wherein the database is used for storing the patient information and the face information;
the ward monitoring defense platform is arranged at an entrance and an exit of the ward and used for collecting the faces of the patients coming in and going out of the ward and controlling the patients to come in and go out of the ward according to the database.
Above technical scheme is preferred, nurse station information processing platform includes first image preprocessing module and first face acquisition module, first image preprocessing module be used for with the face image modeling of first face acquisition module collection draws correspondingly face characteristic integrates face information.
Preferably, in the above technical solution, the portrait big data platform is further configured to communicate and share with patient information of a hospital information system, and integrate the original patient information and the face information of the portrait big data platform and the patient information of the hospital information system into patient data, and store the patient data in the database.
Preferably, in the above technical solution, the nurse station information processing platform further includes a control module, and the control module is configured to control whether the patient data in the database is identified as prohibited to be out or permitted to be out.
Above technical scheme is preferred, ward control fortification platform includes second people's face collection module, bayonet socket, second image preprocessing module, judgment module and early warning module, second image preprocessing module be used for with the face image modeling that second people's face collection module gathered draws corresponding facial feature, judgment module be used for with facial feature with in the database whether the facial feature contrast is unanimous, works as facial feature is unanimous just when the sign is for forbidding going out, the bayonet socket maintains the closed state, just early warning module is to medical personnel suggestion the patient goes out in advance.
Above technical scheme is preferred, still including doctorsing and nurses the platform of seting up defences, the gate of doctorsing and nurses the office is located to the platform of seting up defences of doctorsing and nurses for control patient passes in and out the office of doctorsing and nurses.
The early warning method for the hospital management early warning system based on the face recognition technology is characterized by comprising the following steps of:
s1, inputting basic information, medical history and face images of the hospitalized patient, modeling according to the face images, extracting corresponding face features, and integrating the face images and the face features into face information;
s2, storing the patient information and the face information, and communicating and sharing the patient information with a hospital information system to integrate the patient data;
s3, collecting the human face of the patient in and out of the ward, comparing the human face with the patient data, and controlling the patient to go in and out of the ward according to the comparison result;
s4, clearing the patient data of the discharged patient.
Preferably, in the above technical solution, the step S2 specifically includes:
storing the integrated patient data into a database of a portrait big data platform, and marking the patient data as forbidden to go out;
when the patient needs to go out for examination or rehabilitation treatment, the corresponding patient data is marked as being allowed to go out;
when a patient enters a checking room or a treatment room, identifying the corresponding patient data as forbidden to go out;
after the examination and treatment of the patient are completed, identifying the corresponding patient data as being allowed to go out;
and after the patient returns to the ward, identifying the corresponding patient data as forbidden to go out.
Preferably, in the above technical solution, the step S3 specifically includes:
collecting a face image;
modeling the collected face image, and extracting corresponding face features;
comparing the extracted human face features with the human face features in the database to determine whether the extracted human face features are consistent with the human face features in the database, if so, acquiring the identification state of the patient data, and if not, opening a bayonet;
if the identification state is no exit, maintaining the bayonet closed state and prompting the patient to exit to medical staff; and if the identification state is allowed to go out, opening the bayonet.
The invention has the advantages and positive effects that: the invention provides a hospital management early warning system based on a face recognition technology, which is used for applying the face recognition technology to the ward management of a psychiatric hospital, can effectively control the hospitalized patients of the psychiatric hospital to go out, and carries out early warning when the patients who are forbidden to go out are going out in advance, can effectively solve the problem of insufficient hands of medical workers, can greatly improve the internal operating efficiency of the hospital, and saves manpower and material resources.
Drawings
Fig. 1 is a system block diagram of a hospital management early warning system based on a face recognition technology according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a hospital management early warning system based on a face recognition technology according to an embodiment of the present invention;
fig. 3 is a flowchart of a hospital management early warning method based on a face recognition technology according to an embodiment of the present invention;
FIG. 4 is a flow chart of storing patient data provided by an embodiment of the present invention;
FIG. 5 is a flow chart of controlling patient access to a patient's area according to one embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," etc. may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
One aspect of the present embodiment provides a hospital management early warning system based on a face recognition technology, as shown in fig. 1 and 2, including:
the nurse station information processing platform is used for acquiring patient information, wherein the patient information comprises basic information of a patient and a face image, modeling is carried out according to the face image, corresponding face features are extracted, and the face image and the face features are integrated into face information;
the portrait big data platform comprises a database and a database, wherein the database is used for storing patient information and face information;
the ward monitoring defense platform is arranged at an entrance and an exit of the ward and used for collecting the faces of patients coming in and going out of the ward and controlling the patients to come in and go out of the ward according to the database.
Specifically, nurse station information processing platform includes first image preprocessing module and first face acquisition module, and first image preprocessing module is used for the face image modeling of gathering first face acquisition module, extracts corresponding human face characteristic, integrates the face information. The first face acquisition module comprises a human card verification terminal and/or a face snapshot machine, the human card verification terminal is used for reading face data on the identity card, and the face snapshot machine is used for grabbing face images. The first image preprocessing module is the existing image preprocessing software and is installed on a terminal such as a computer or a mobile phone.
Specifically, the portrait big data platform is also used for intercommunicating and sharing with patient information of a hospital information system, and integrating original patient information and face information of the database and the patient information of the hospital information system into patient data.
To accommodate partial patient outing examination or treatment scenarios, the nurses' station information processing platform also includes a control module for controlling the identification of patient data within the database as either out-prohibited or out-permitted.
Specifically, ward control platform of seting up defences includes second people's face collection module, the bayonet socket, second image preprocessing module, judgment module and early warning module, second image preprocessing module is used for the face image modeling of second people's face collection module collection, draw corresponding facial feature, judgment module is used for whether unanimous with the facial feature contrast in the database with facial feature, when facial feature is unanimous and the sign is for forbidding going out, the bayonet socket maintains the closed state, and early warning module indicates that the patient goes out in advance to medical personnel. A second face acquisition module such as a video camera.
Optionally in order to reduce patient and medical personnel's direct contact, avoid medical alarming, improve medical personnel's security, early warning system still includes medical and nurses the platform of seting up defences, and medical and nurses the gate of seting up defences the office for the control patient passes in and out medical and nurses the office.
The face snapshot machine stores one or a series of input face image information into a database of the portrait big data platform, models the stored face data to extract the features of the face, and stores a face template generated by the face template into the database of the portrait big data platform. When the detected person moves in front of the video camera of the ward monitoring and defense platform, the camera system compares the captured facial features of the human face with the registered human face information in the database of the portrait big data platform, judges whether the person is the same person, and immediately starts an alarm service if the person is the same person and the identification state is no exit. The main access & exit of hospital ward and functional rooms such as medical office set up face identification technique of opening the door and the linkage of bayonet gate inhibition system, through face identification, can the noninductive current, reduce the contact, improve the security. At present, the defense setting platform for medical care is applied to the chief and nurse long offices in the ward, the ward monitoring defense setting platform is applied to the main entrance and exit and the nurse station in the ward, and ultrahigh-definition cameras are equipped at the entrance and exit positions to capture the data of patients. The ward monitoring and defense setting platform comprises a bayonet and a human face bayonet camera for controlling the opening and closing of the bayonet. The medical defense platform comprises an entrance guard and a face terminal for controlling the entrance guard to open and close. In addition, for the convenience of managing the material flow direction, this system can also set up face identification material management platform, through face identification screen unblock system, through voice conversation, intelligent requisition logistics material realizes the real name system and requisites, and logistics distribution receives the instruction, reaches each ward on time with the goods of needs. The face recognition can also be applied to daily attendance checking of medical staff in hospitals, payment of small supermarkets and dining halls in hospitals and the like.
The system framework realizes system intercommunication and resource sharing through a portrait big data platform and an original hospital information system, photos collected by a handheld terminal or information captured by a face snapshot machine can be synchronously sent to the portrait big data platform to serve as deployment and control data, personnel information of the hospital information system is also synchronously sent to the portrait big data platform to serve as basic personnel information, and after statistical information of the portrait big data platform is matched with the hospital information system in a system mode, the data is synchronously sent to a ward monitoring and fortifying platform to serve as statistical management original data. Through doctorsing and nurses the platform of seting up defences, dock hospital's identity management system, the permission of can cominging in and going out is sent down, and the record passback of cominging in and going out has both improved the security, has to ensure that information can be traced back.
A whole set of portrait big data platform is formed by connecting a front-end face snapshot machine and a rear-end server by utilizing the portrait big data platform, and various comprehensive applications can be carried out. Meanwhile, the early warning system can share resources with a public security system and an internet system, and can be in multi-level interconnection with upper and lower hospitals. The portrait big data platform is mainly divided into nine big modules: monitoring overview, monitoring details, monitoring configuration, portrait retrieval, information research and judgment, statistical analysis, synchronous management, system management, operation and maintenance management and the like. The information research and judgment function can realize searching for appointed personnel, utilizes big data information, analyzes the access frequency and the access place of the personnel, sketches a corresponding track, extracts effective data from a pile of complex data, and regularly displays the data. Meanwhile, the system can also be applied to public areas, and especially aiming at some group-related number vendors, medical alarm teams, medical representatives and the like, the management and control efficiency is greatly improved, and one-point breakthrough and global breakthrough are achieved.
Configuration of the early warning system: the front end is provided with a face snapshot machine, a human evidence verification terminal, a client, a monitor, a face access control machine, an access control switch, a special GPU server (with a GPU card) at the rear end, a bill data interface standard of a hospital information system and the like.
Another aspect of the present embodiment provides an early warning method for the hospital management early warning system based on the face recognition technology, as shown in fig. 3, including:
s1, the patient is admitted to the hospital and is handled; a ward nurse station registers and inquires medical history and basic information input, simultaneously acquires face data (read by a testimony verification terminal or directly captured by a face snapshot machine), models according to a face image, extracts corresponding face characteristics, and integrates the face image and the face characteristics into face information;
s2, storing the patient information and the face information, and sharing the patient information with the hospital information system to integrate the patient data;
s3, starting a ward monitoring and defense platform and a medical care defense platform, collecting the faces of patients entering and exiting the ward, comparing the faces with the data of the patients, controlling the patients entering and exiting the ward according to the comparison result, and preventing the patients from running outside;
s4, the discharge procedure is cleared, and the patient data of the discharged patient is cleared.
Preferably, as shown in fig. 4, step S2 specifically includes:
storing the integrated patient data into a database of a portrait big data platform, and marking the patient data as forbidden to go out;
when the patient needs to go out for examination or rehabilitation treatment, the corresponding patient data is marked as being allowed to go out; corresponding patient information appears on the system of the examination and recovery room at the same time, and the monitoring and early warning of the patient are suspended;
when a patient enters a checking room or a treatment room, the corresponding patient data is marked as forbidden to go out, and the monitoring early warning of the patient is started;
after the examination and treatment of the patient are finished, the corresponding patient data is marked as being allowed to go out, and the monitoring and early warning of the patient is suspended;
after the patient returns to the ward, the corresponding patient data is marked as forbidden to go out, and the monitoring early warning of the patient is started.
Preferably, as shown in fig. 5, step S3 specifically includes:
collecting a face image;
modeling the collected face image, and extracting corresponding face features;
comparing the extracted human face features with human face features in a database in a human image big data platform to determine whether the extracted human face features are consistent with the human face features in the database in the human image big data platform, if so, acquiring the identification state of the patient data, and if not, opening a bayonet;
if the identification state is no exit, the bayonet is kept closed, and the medical staff is prompted that the patient exits in advance; and if the identification state is that the exit is allowed, opening the bayonet.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (9)
1. The utility model provides a hospital management early warning system based on face identification technique which characterized in that includes:
the nurse station information processing platform is used for acquiring patient information, wherein the patient information comprises basic information of a patient and a face image, modeling is carried out according to the face image, corresponding face features are extracted, and the face image and the face features are integrated into face information;
the portrait big data platform comprises a database and a database, wherein the database is used for storing the patient information and the face information;
the ward monitoring defense platform is arranged at an entrance and an exit of the ward and used for collecting the faces of the patients coming in and going out of the ward and controlling the patients to come in and go out of the ward according to the database.
2. The hospital management early warning system based on the face recognition technology as claimed in claim 1, wherein: the nurse station information processing platform comprises a first image preprocessing module and a first face acquisition module, wherein the first image preprocessing module is used for modeling the face images acquired by the first face acquisition module, extracting corresponding face features and integrating the face information.
3. The hospital management early warning system based on the face recognition technology as claimed in claim 2, wherein: the portrait big data platform is also used for intercommunicating and sharing patient information of a hospital information system, integrating the original patient information and the face information of the portrait big data platform and the patient information of the hospital information system into patient data, and storing the patient data into the database.
4. The hospital management early warning system based on the face recognition technology as claimed in claim 3, wherein: the nurse station information processing platform further comprises a control module for controlling the identification of the patient data in the database as prohibited from going out or allowed to go out.
5. The hospital management early warning system based on the face recognition technology as claimed in claim 4, wherein: the ward monitoring defense platform comprises a second face acquisition module, a bayonet, a second image preprocessing module, a judgment module and an early warning module, wherein the second image preprocessing module is used for modeling the face image acquired by the second face acquisition module and extracting corresponding face features, the judgment module is used for comparing the face features with the face features in the database, and when the face features are consistent and the identification is forbidden to go out, the bayonet maintains a closed state, and the early warning module prompts medical personnel that the patient goes out in advance.
6. The hospital management early warning system based on the face recognition technology as claimed in claim 1, wherein: still including doctorsing and nurses and establishing a defence platform, the gate of doctorsing and nurses the office is located to doctorsing and nurses the defence platform for control patient passes in and out the office of doctorsing and nurses.
7. An early warning method for a hospital administration early warning system based on face recognition technology according to claims 1-6, comprising:
s1, inputting basic information, medical history and face images of the hospitalized patient, modeling according to the face images, extracting corresponding face features, and integrating the face images and the face features into face information;
s2, storing the patient information and the face information, and communicating and sharing the patient information with a hospital information system to integrate the patient data;
s3, collecting the human face of the patient in and out of the ward, comparing the human face with the patient data, and controlling the patient to go in and out of the ward according to the comparison result;
s4, clearing the patient data of the discharged patient.
8. The hospital management early warning system based on face recognition technology according to claim 7, wherein the step S2 specifically comprises:
storing the integrated patient data into a database of a portrait big data platform, and marking the patient data as forbidden to go out;
when the patient needs to go out for examination or rehabilitation treatment, the corresponding patient data is marked as being allowed to go out;
when a patient enters a checking room or a treatment room, identifying the corresponding patient data as forbidden to go out;
after the examination and treatment of the patient are completed, identifying the corresponding patient data as being allowed to go out;
and after the patient returns to the ward, identifying the corresponding patient data as forbidden to go out.
9. The hospital management early warning system based on face recognition technology according to claim 8, wherein the step S3 specifically comprises:
collecting a face image;
modeling the collected face image, and extracting corresponding face features;
comparing the extracted human face features with the human face features in the database to determine whether the extracted human face features are consistent with the human face features in the database, if so, acquiring the identification state of the patient data, and if not, opening a bayonet;
if the identification state is no exit, maintaining the bayonet closed state and prompting the patient to exit to medical staff; and if the identification state is allowed to go out, opening the bayonet.
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Application publication date: 20200107 |