CN111599457A - Self-service noninvasive helicobacter pylori detection system and method - Google Patents

Self-service noninvasive helicobacter pylori detection system and method Download PDF

Info

Publication number
CN111599457A
CN111599457A CN202010562011.4A CN202010562011A CN111599457A CN 111599457 A CN111599457 A CN 111599457A CN 202010562011 A CN202010562011 A CN 202010562011A CN 111599457 A CN111599457 A CN 111599457A
Authority
CN
China
Prior art keywords
detection
module
user
interaction platform
helicobacter pylori
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010562011.4A
Other languages
Chinese (zh)
Inventor
赵珑
李悦
吕进泰
宋迪天
张大松
李晓峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Peoples Hospital
Original Assignee
Shenzhen Peoples Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Peoples Hospital filed Critical Shenzhen Peoples Hospital
Priority to CN202010562011.4A priority Critical patent/CN111599457A/en
Publication of CN111599457A publication Critical patent/CN111599457A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medicinal Chemistry (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

A self-service noninvasive helicobacter pylori detection system and method relates to the technical field of medical detection. Wherein the system includes: the system comprises an identity identification module, a detection interaction platform, a detection module, a wireless communication module, a result printing module, a gas collection module and a display module; the detection interaction platform is used for allowing a client to log in and interacts with the client after logging in; the identity recognition module is used for recognizing the identity information of the client; the wireless communication module is used for receiving the signal sent by the detection interaction platform and sending detection information to the user according to the signal, and the wireless communication module can also send operation reminding information to the user; the gas collection module is used for blowing gas for a client; the detection module is used for receiving the gas collected by the gas collection module, detecting the helicobacter pylori and sending a detection result to the detection interaction platform after detection. The helicobacter pylori detection system adopting the technical scheme has the advantages of being convenient and rapid in detection process, saving human resources and reducing cost.

Description

Self-service noninvasive helicobacter pylori detection system and method
Technical Field
The invention relates to the technical field of medical detection, in particular to a self-service noninvasive helicobacter pylori detection system and a self-service noninvasive helicobacter pylori detection method.
Background
Helicobacter Pylori (HP) brings about a plurality of digestive diseases, is a main pathogenic factor of chronic active gastritis, peptic ulcer, gastric mucosa-associated lymphoid tissue (MALT) lymphoma and gastric cancer, and has great significance in detecting and treating the HP. The current methods for detecting HP infection mainly comprise invasive and non-invasive methods. The invasive method needs to obtain living tissue through an endoscope for detection, so that pain is brought to a tester; the non-invasive method is a breath test of 13C-urea and 14C-urea, known as the gold standard of detection, which is currently clinically prone to substitution by 13C-urea due to the trace radioactivity of 14C-urea itself. During the actual detection process, the gas exhaled by the detected person needs to be collected. In the 14C test, after a certain amount of 14C-labeled urea is orally administered to a subject, the presence or absence of infection with helicobacter pylori can be judged by a high-sensitivity tester or by measuring the amount of 14C in expired air. 14C is a radioactive isotope, has small radiation quantity, high safety and low price.
Currently, most methods for detecting helicobacter pylori adopt 13C-urea and 14C-urea breath tests, and currently, when the 13C-urea and 14C-urea breath tests are performed, a customer is required to cooperate with a detector to detect the helicobacter pylori by a helicobacter pylori detector, the detection process is complicated, and human resources are required to be input, so that improvement is needed.
Disclosure of Invention
The invention aims to provide a self-service noninvasive helicobacter pylori detection system aiming at the defects and shortcomings of the prior art, which can realize self-service detection of helicobacter pylori and has the advantages of convenient and quick detection process, manpower resource saving and cost reduction.
In order to achieve the purpose, the invention adopts the technical scheme that: a self-service non-invasive helicobacter pylori detection system, comprising: the system comprises an identity identification module, a detection interaction platform, a detection module, a wireless communication module, a result printing module, a gas collection module and a display module; the detection interaction platform is used for a client to log in and interacts with the client after logging in so that the client can select a detection method or quit operation according to the self condition; the identity recognition module is used for recognizing the identity information of the client so as to facilitate the client to log in the detection interaction platform; the display module is used for displaying an interface of the detection interaction platform; the wireless communication module is used for being connected with a cloud server, receiving a signal sent by the detection interaction platform and sending detection information to a user according to the signal, and the wireless communication module can also send operation reminding information to the user; the result printing module is connected with the detection interaction platform and is used for printing a detection result after a client detects the detection result; the gas collection module is connected with the detection module and is used for blowing air for a client so as to collect gas required by a respiratory experiment; the detection module is connected with the detection interaction platform, and is used for receiving the gas collected by the gas collection module, detecting the helicobacter pylori, and sending a detection result to the detection interaction platform after detection.
The detection interaction platform comprises: the system comprises a physical condition selection module, an inspection item selection module, a payment module and a drug administration module; the physical condition selection module is used for the user to check the physical condition so as to facilitate detection; the inspection item selection module is used for a user to select a detection method, and the detection method is 13C-urea or 14C-urea breath experiment detection; the payment module is used for allowing a user to pay detection cost and perform subsequent operation; the drug delivery module is used for providing the drugs required for detecting the helicobacter pylori for the client after the user pays the detection cost, and informing the client of the drug administration instruction and the detection notice; when the customer selects the 13C-urea breath experiment to detect, a gas collecting module is further arranged between the dosing module and the payment module to meet the requirements of the 13C-urea breath experiment.
The wireless communication module is as follows: any one of a 5G module, a 4G module, a WIFI module, a Bluetooth module and an NB-IOT module.
The gas collection module is a gas blowing pipe connected with the detection module, and a containing groove for containing a disposable gas blowing nozzle is further arranged on one side of the gas collection module.
The identity recognition module comprises: the system comprises a card swiping identification module, a code scanning identification module, a face identification module and a fingerprint identification module; the card swiping identification module is used for identifying IC card information provided by a user to acquire user information, and the IC card is a medical insurance card, an identity card or a medical card; the code scanning identification module is used for identifying identification code information provided by a user to acquire user information, and the identification code is a two-dimensional code or a bar code; the face recognition module is used for carrying out face recognition on a user to acquire user information; the fingerprint identification module is used for carrying out fingerprint identification on a user so as to acquire user information.
After the technical scheme is adopted, the invention has the beneficial effects that: when the device is used, a user firstly identifies and confirms identity information through the identity identification module, enters the detection interaction platform through the identity information, and then interacts with the user through the physical condition selection module. When the physical condition of the user does not meet the detection requirement, the user can quit the operation; when the physical condition of the user meets the detection requirement, the user can perform the next operation until entering a detection project selection module, the user can perform detection project selection according to the self condition, the payment module is used for paying after the project selection is completed, the module is used for providing the medicine to be taken for detection after the payment, and the operation is quitted to enter the medicine taking waiting time after the explanation of the medicine taking and the detection notice of the client are informed; when the user selects 13C detection for checking, before the administration module administers the medicine, the gas collection module performs gas collection before administration and then the administration operation is started. After the medicine taking waiting time is up, the user needs to recognize and confirm the identity information through the identity recognition module again, and the identity information enters the detection interaction platform, then the gas collection operation after the medicine taking is carried out on the user through the gas collection module, the collected gas is detected and analyzed through the detection module, and the result is sent to the user or the result printing module through the wireless communication module after coming out to carry out the result printing operation. The self-service noninvasive helicobacter pylori detection system arranged in this way can realize self-service detection of helicobacter pylori, and has the advantages of convenience and rapidness in detection process, manpower resource saving and cost reduction.
Aiming at the defects and shortcomings of the prior art, the invention aims to provide a self-service noninvasive helicobacter pylori detection method, which can interact with a user, and can know and register basic information of the customer, so that the user is guided to complete detection of the helicobacter pylori, self-service detection of the helicobacter pylori is realized, and the method has the advantages of convenience and rapidness in detection process, manpower resource saving and cost reduction.
In order to achieve the purpose, the invention adopts the technical scheme that: a self-service noninvasive helicobacter pylori detection method is based on the self-service noninvasive helicobacter pylori detection system, and comprises the following steps:
s1, entering the detection interaction platform through the identity recognition module, interacting with the detection interaction platform according to self information, and when the self information conforms to the inspection requirement, performing the next operation until the administration module finishes the operation after performing the administration operation and enters the administration waiting time, otherwise, immediately informing the client of the inspection requirement and finishing the operation;
s2, after the waiting time for taking medicine is met, the wireless communication module sends reminding information to the user, the user enters the detection interaction platform through the identity recognition module again according to the reminding information, and all detection operations are finished and the operations are finished according to the indication of the interaction platform;
and S3, the wireless communication module sends a reminding message to the user to inform the user to check and/or print the detection result.
The step S1 includes the following sub-steps:
s11, entering the detection interaction platform through the identity recognition module, and informing a user of a detection purpose, a detection method, a detection price and an informed consent through a display module by the detection interaction system while entering the detection interaction system;
s12, inquiring whether the user has an empty stomach for more than three hours, if so, performing the next operation, otherwise, informing the user that the detection can be performed only after the detection needs to be performed for more than three hours;
s13, inquiring whether the medicine which influences the detection result is stopped, if not, carrying out the next operation, otherwise, informing the user that the medicine which influences the detection result is stopped for more than two weeks before detection, and ending the operation;
s14, inquiring whether the pregnant woman is pregnant, ready to be pregnant or in a lactation period, if so, only performing 13C detection, otherwise, automatically selecting to adopt 13C detection or 14C detection through a detection item selection module;
s15, paying the inspection fee through the payment module, giving the medicine needed to be inspected through the administration module after paying the fee, quitting the operation after informing the user of the medicine taking method and the inspection notice, and entering the medicine taking waiting time, wherein when the user selects to adopt 13C inspection, the detection interaction platform guides the user to collect the gas before taking the medicine through the gas collection module before entering the medicine taking module.
The step S2 includes the steps of:
s21, entering the detection interaction platform through the identity recognition module;
s22, the detection interaction platform guides a user to collect gas after medicine taking through the gas collection module;
and S23, after the gas collection module finishes gas collection, the detection interaction platform is withdrawn.
After the technical scheme is adopted, the invention has the beneficial effects that: the method can interact with a user, and can know and register basic information of the customer, so that the user is guided to complete detection of the helicobacter pylori, self-service detection of the helicobacter pylori is realized, and the method has the advantages of being convenient and rapid in detection process, saving human resources and reducing cost.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a block diagram showing the overall structure of the present embodiment;
fig. 2 is a flowchart of step S1 in the method of the present embodiment.
Description of reference numerals: 1. an identity recognition module; 11. a card swiping identification module; 12. a code scanning identification module; 13. a face recognition module; 14. a fingerprint identification module; 2. detecting an interactive platform; 21. a physical condition selection module; 22. an inspection item selection module; 23. a payment module; 24. a dosing module; 3. a detection module; 4. a wireless communication module; 5. a result printing module; 6. a gas collection module; 7. and a display module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment as necessary without making a contribution thereto after reading the present specification, but all are protected by patent laws within the scope of the claims of the present invention.
The present embodiment relates to a self-service noninvasive helicobacter pylori detection system, as shown in fig. 1, including: the system comprises an identity identification module 1, a detection interaction platform 2, a detection module 3, a wireless communication module 4, a result printing module 5, a gas collection module 6 and a display module 7.
The detection interaction platform 2 is used for a client to log in, and interacts with the client after logging in so that the client can select a detection method or quit operation according to the self condition. The identity recognition module 1 is used for recognizing identity information of a client so as to facilitate the client to log in the detection interaction platform 2. The display module 7 is used for displaying the interface of the detection interaction platform 2. The wireless communication module 4 is used for being connected with a cloud server. The wireless communication module 4 is used for receiving the signal sent by the detection interactive platform 2 and sending detection information to the user according to the signal. The wireless communication module 4 may also send operation reminding information to the user. The result printing module 5 is connected with the detection interactive platform 2, and the result printing module 5 is used for printing a detection result after the customer detects the detection result. The gas collection module 6 is connected with the detection module 3, and the gas collection module 6 is used for blowing gas for a client to collect gas required by a breath experiment. The detection module 3 is connected with the detection interaction platform 2. The detection module 3 is used for receiving the gas collected by the gas collection module 6, detecting the helicobacter pylori, and sending a detection result to the detection interaction platform 2 after detection.
As shown in fig. 1, the detection interaction platform 2 includes: a physical condition selection module 21, an examination item selection module 22, a payment module 23 and a drug administration module 24.
The physical status selection module 21 is used for the user to check the physical status for detection. The inspection item selection module 22 is used for the user to select a detection method. The detection method is the breath test detection of 13C-urea or 14C-urea. The payment module 23 is used for the user to pay the detection fee for subsequent operation. The drug delivery module 24 is used for providing the drug required for helicobacter pylori detection for the client after the user pays the detection fee, and informing the client of the drug administration instruction and the detection notice.
It should be noted that, when the customer selects the 13C-urea breath experiment to perform the detection, the gas collection module 6 is further disposed between the dosing module 24 and the payment module 23 to meet the requirement of the 13C-urea breath experiment.
Preferably, the wireless communication module 4 is: any one of a 5G module, a 4G module, a WIFI module, a Bluetooth module and an NB-IOT module.
Preferably, the gas collection module 6 is a gas blowing pipe connected with the detection module 3, and a containing groove for containing a disposable gas blowing nozzle is further arranged on one side of the gas collection module 6.
Further, as shown in fig. 1, the identity module 1 includes: the system comprises a card swiping identification module 11, a code scanning identification module 12, a face identification module 13 and a fingerprint identification module 14.
The card-swiping identification module 11 is used for identifying the IC card information provided by the user to acquire the user information. Wherein, the IC card is a medical insurance card, an identity card or a medical card. The code scanning identification module 12 is used for identifying the identification code information provided by the user to acquire the user information. Wherein, the identification code is a two-dimensional code or a bar code. The face recognition module 13 is configured to perform face recognition on the user to obtain user information. The fingerprint identification module 14 is used for performing fingerprint identification on a user to acquire user information.
The design principle of the present embodiment is roughly as follows: when the device is used, a user firstly identifies and confirms identity information through the identity identification module 1, enters the detection interaction platform 2 according to the identity information, and then interacts with the user through the physical condition selection module 21. When the physical condition of the user does not meet the detection requirement, the user can quit the operation; when the physical condition of the user meets the detection requirement, the user can carry out the next operation until entering the detection item selection module 22, the user can carry out detection item selection according to the self condition at this time, and after the item selection is finished, the payment module 23 carries out payment, the payment module provides the medicine required to be taken for the detection for the user, and after the explanation of the medicine taking and the detection caution items are informed to the client, the operation is quit and the medicine taking waiting time is entered; when the user selects 13C detection for checking, it is necessary to perform the gas collection operation before the medicine is taken by the gas collection module 6 before the medicine is taken by the medicine administration module 24 and then to enter the medicine administration operation. After the medicine taking waiting time is up, the user needs to identify and confirm the identity information through the identity identification module 1 again, and enters the detection interaction platform 2 through the identity information, then the gas collection operation after the medicine taking is carried out on the user through the gas collection module 6, the collected gas is detected and analyzed through the detection module 3, and the result is sent to the user or the result printing module 5 through the wireless communication module 4 after the result comes out to carry out the result printing operation. The self-service noninvasive helicobacter pylori detection system arranged in this way can realize self-service detection of helicobacter pylori, and has the advantages of convenience and rapidness in detection process, manpower resource saving and cost reduction.
Based on the above technical solution, as shown in fig. 2, this embodiment further provides a self-service noninvasive helicobacter pylori detection method, including the following steps:
s1, entering the detection interaction platform 2 through the identity recognition module 1, interacting with the detection interaction platform 2 according to self information, and when the self information conforms to the inspection requirement, performing the next operation until the administration module 24 finishes the administration operation and enters the administration waiting time, otherwise, immediately informing the client of the inspection requirement and finishing the operation;
s2, after the waiting time for taking medicine is met, the wireless communication module 4 sends reminding information to the user, the user enters the detection interaction platform 2 through the identity recognition module 1 again according to the reminding information, and all detection operations are finished and the operations are finished according to the indication of the interaction platform;
and S3, the wireless communication module 4 sends a reminding message to the user to inform the user to check and/or print the detection result.
As shown in fig. 2, step S1 includes the following sub-steps:
s11, entering a detection interaction platform 2 through the identity recognition module 1, and informing a user of a detection purpose, a detection method, a detection price and an informed consent through the display module 7 by the detection interaction system while entering the detection interaction system;
s12, inquiring whether the user has an empty stomach for more than three hours, if so, performing the next operation, otherwise, informing the user that the detection can be performed only after the detection needs to be performed for more than three hours;
s13, inquiring whether the medicine which influences the detection result is stopped, if not, carrying out the next operation, otherwise, informing the user that the medicine which influences the detection result is stopped for more than two weeks before detection, and ending the operation, wherein the medicine which influences the detection result is: omeprazole, pantoprazole, rabeprazole, esomeprazole, bismuth potassium citrate, amoxicillin, clarithromycin and other antibiotics;
s14, inquiring whether the pregnant woman is pregnant, ready to be pregnant or in a lactation period, if so, only performing 13C detection, otherwise, automatically selecting to adopt 13C detection or 14C detection through a detection item selection module;
s15, paying the inspection fee through the payment module 23, giving the medicine needed to be inspected through the medicine administration module 24 after paying the fee, quitting the operation after informing the user of the medicine administration method and the inspection notice, entering the medicine administration waiting time, and guiding the user to collect the gas before taking the medicine through the gas collection module 6 before entering the medicine administration module 24 when the user selects to adopt 13C inspection.
Further, step S2 includes the following sub-steps:
s21, entering a detection interaction platform 2 through the identity recognition module 1;
s22, the detection interactive platform 2 guides the user to collect the gas after taking the medicine through the gas collection module 6;
and S23, after the gas collection module 6 finishes gas collection, the detection interaction platform 2 is withdrawn.
The method can interact with the user, and can know and register the basic information of the customer, so that the user is guided to complete the detection of the helicobacter pylori, the self-service detection of the helicobacter pylori is realized, and the method has the advantages of being convenient and quick in detection process, saving human resources and reducing cost.
The above description is only for the purpose of illustrating the technical solutions of the present invention and not for the purpose of limiting the same, and other modifications or equivalent substitutions made by those skilled in the art to the technical solutions of the present invention should be covered by the claims of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (8)

1. A self-service noninvasive helicobacter pylori detection system, characterized by comprising: the system comprises an identity identification module (1), a detection interaction platform (2), a detection module (3), a wireless communication module (4), a result printing module (5), a gas collection module (6) and a display module (7);
the detection interaction platform (2) is used for a client to log in and interact with the client after logging in so that the client can select a detection method or quit operation according to the self condition;
the identity recognition module (1) is used for recognizing identity information of a client so as to facilitate the client to log in the detection interaction platform (2);
the display module (7) is used for displaying an interface of the detection interaction platform (2);
the wireless communication module (4) is used for being connected with a cloud server, the wireless communication module (4) is used for receiving signals sent by the detection interaction platform (2) and sending detection information to a user according to the signals, and the wireless communication module (4) can also send operation reminding information to the user;
the result printing module (5) is connected with the detection interaction platform (2), and the result printing module (5) is used for printing a detection result after a client detects the detection result;
the gas collection module (6) is connected with the detection module (3), and the gas collection module (6) is used for blowing gas for a client to collect gas required by a respiratory experiment;
detection module (3) with detect mutual platform (2) and connect, detection module (3) are used for receiving the gas that gas collection module (6) were collected carries out the detection of helicobacter pylori, and sends the testing result after detecting to detect mutual platform (2).
2. The self-service non-invasive helicobacter pylori detection system according to claim 1, wherein the detection interaction platform (2) comprises: a physical condition selection module (21), an examination item selection module (22), a payment module (23) and a drug administration module (24);
the physical condition selection module (21) is used for checking the physical condition of the user for detection;
the examination item selection module (22) is used for a user to select a detection method, and the detection method is 13C-urea or 14C-urea breath experiment detection;
the payment module (23) is used for the user to pay the detection fee for subsequent operation;
the drug delivery module (24) is used for providing the drug required by helicobacter pylori detection for the client after the user pays the detection cost, and informing the client of the drug administration instruction and the detection notice;
when the customer selects the 13C-urea breath experiment to detect, a gas collection module (6) is further arranged between the dosing module (24) and the payment module (23) to meet the requirements of the 13C-urea breath experiment.
3. The self-service non-invasive helicobacter pylori detection system according to claim 2, wherein the wireless communication module (4) is: any one of a 5G module, a 4G module, a WIFI module, a Bluetooth module and an NB-IOT module.
4. The self-service noninvasive helicobacter pylori detection system according to claim 3, characterized in that the gas collection module (6) is a gas blowing pipe connected with the detection module (3), and a containing groove for containing a disposable gas blowing nozzle is further arranged on one side of the gas collection module (6).
5. The self-service non-invasive helicobacter pylori detection system according to claim 4, characterized in that the identification module (1) comprises: the system comprises a card swiping identification module (11), a code scanning identification module (12), a face identification module (13) and a fingerprint identification module (14);
the card swiping identification module (11) is used for identifying IC card information provided by a user to acquire user information, and the IC card is a medical insurance card, an identity card or a medical card;
the code scanning identification module (12) is used for identifying identification code information provided by a user to acquire user information, and the identification code is a two-dimensional code or a bar code;
the face recognition module (13) is used for carrying out face recognition on a user to acquire user information;
the fingerprint identification module (14) is used for carrying out fingerprint identification on the user so as to acquire user information.
6. A self-service non-invasive helicobacter pylori detection method, which is based on the self-service non-invasive helicobacter pylori detection system according to claim 5, and comprises the following steps:
s1, entering the detection interaction platform (2) through the identity recognition module (1), interacting with the detection interaction platform (2) according to self information, and when the self information conforms to the inspection requirement, performing the next operation until the administration module (24) finishes the operation after performing the administration operation and enters the administration waiting time, otherwise, immediately informing the client of the inspection requirement and finishing the operation;
s2, after the waiting time for taking medicine is met, the wireless communication module (4) sends reminding information to a user, the user enters the detection interaction platform (2) through the identity recognition module (1) again according to the reminding information, and all detection operations are finished and the operations are finished according to the indication of the interaction platform;
s3, the wireless communication module (4) sends reminding information to the user to inform the user to check and/or print the detection result.
7. The self-service noninvasive helicobacter pylori detection method according to claim 6, wherein the step S1 includes the following substeps:
s11, entering the detection interaction platform (2) through the identity recognition module (1), and informing a user of a detection purpose, a detection method, a detection price and an informed consent through a display module (7) by the detection interaction system while entering the detection interaction system;
s12, inquiring whether the user has an empty stomach for more than three hours, if so, performing the next operation, otherwise, informing the user that the detection can be performed only after the detection needs to be performed for more than three hours;
s13, inquiring whether the medicine which influences the detection result is stopped, if not, carrying out the next operation, otherwise, informing the user that the medicine which influences the detection result is stopped for more than two weeks before detection, and ending the operation;
s14, inquiring whether the pregnant woman is pregnant, ready to be pregnant or in a lactation period, if so, only performing 13C detection, otherwise, automatically selecting to adopt 13C detection or 14C detection through a detection item selection module;
s15, paying the inspection fee through the payment module (23), giving the medicine needed to be taken for inspection through the medicine taking module (24) after paying the fee, quitting the operation after informing the user of the medicine taking method and the inspection notice, entering the medicine taking waiting time, and guiding the user to carry out gas collection before taking medicine through the gas collection module (6) before entering the medicine taking module (24) when the user selects to adopt 13C inspection.
8. The self-service noninvasive helicobacter pylori detection method according to claim 6, wherein the step S2 includes the steps of:
s21, entering the detection interaction platform (2) through the identity recognition module (1);
s22, the detection interaction platform (2) guides a user to collect gas after medicine taking through the gas collection module (6);
and S23, after the gas collection module (6) finishes gas collection, the detection interaction platform (2) is withdrawn.
CN202010562011.4A 2020-06-18 2020-06-18 Self-service noninvasive helicobacter pylori detection system and method Pending CN111599457A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010562011.4A CN111599457A (en) 2020-06-18 2020-06-18 Self-service noninvasive helicobacter pylori detection system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010562011.4A CN111599457A (en) 2020-06-18 2020-06-18 Self-service noninvasive helicobacter pylori detection system and method

Publications (1)

Publication Number Publication Date
CN111599457A true CN111599457A (en) 2020-08-28

Family

ID=72192315

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010562011.4A Pending CN111599457A (en) 2020-06-18 2020-06-18 Self-service noninvasive helicobacter pylori detection system and method

Country Status (1)

Country Link
CN (1) CN111599457A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010021815A1 (en) * 1997-02-26 2001-09-13 Katzman Daniel E. Breath test analyzer
KR20030078489A (en) * 2002-03-29 2003-10-08 (주)위드교역 Direct Urea Breath Test System For Detection of Helicobacter Pylori.
CN201852800U (en) * 2010-07-26 2011-06-01 深圳市中核海得威生物科技有限公司 Helicobacter pylori 14C detection device
CN106156517A (en) * 2016-07-22 2016-11-23 广东工业大学 The self-service automatic checkout system in a kind of human body basic disease community
CN107085663A (en) * 2017-05-12 2017-08-22 贵州中信云联科技有限公司 System for realizing self-medicine service

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010021815A1 (en) * 1997-02-26 2001-09-13 Katzman Daniel E. Breath test analyzer
KR20030078489A (en) * 2002-03-29 2003-10-08 (주)위드교역 Direct Urea Breath Test System For Detection of Helicobacter Pylori.
CN201852800U (en) * 2010-07-26 2011-06-01 深圳市中核海得威生物科技有限公司 Helicobacter pylori 14C detection device
CN106156517A (en) * 2016-07-22 2016-11-23 广东工业大学 The self-service automatic checkout system in a kind of human body basic disease community
CN107085663A (en) * 2017-05-12 2017-08-22 贵州中信云联科技有限公司 System for realizing self-medicine service

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
童文婕;: "碳14尿素呼气试验检测幽门螺杆菌感染的临床应用及护理", no. 24, pages 69 *
邓建敏;: "C13呼气试验 吹口"仙"气,为你检测胃肠病", no. 08, pages 59 - 60 *

Similar Documents

Publication Publication Date Title
JP5053256B2 (en) Medical imaging system
EP3367907B1 (en) Device for suv determination in emission tomography
CN104707215B (en) Medical transfusion monitoring system and method
CN103324831A (en) Remote interrogation system
CN109893098A (en) Enhance visual wearable electronic device during insertion for invasive devices
CN103258137A (en) Long-distance inquiring method
CN102509016A (en) Patient identity identification system and patient identity identification method based on non-contact IC/ID card
CN111476940B (en) Triage referral method and system based on self-service inquiry terminal
CN210895441U (en) Body temperature epidemic prevention system
CN110312935A (en) Immunologic test device and its operating method, information processing unit and its operating method and operation sequence and information processing system
CN101184432B (en) Device and method for managing, archiving and/or evaluating blood pressure data
JP2007275596A (en) Medical integrated system
CN108229584A (en) A kind of Multimodal medical image recognition methods and device based on deep learning
CN202394235U (en) Internet of things (IOT) medical system
CN111599457A (en) Self-service noninvasive helicobacter pylori detection system and method
CN113534273A (en) Non-contact security check system, method and device
CN114334129A (en) Medical diagnosis system based on Internet of things
CN202821626U (en) Medical clinical checking system catering to community medical service
KR101500331B1 (en) Automated reception and management system of specimen collection room and the method thereof
JP6323925B1 (en) Receipt data analysis device, method and program
CN109242490A (en) Payment information confirmation method based on recognition of face
US20210241874A1 (en) Overdose diagnostic and treatment device and method
CN209421934U (en) A kind of positron radionuclide real-time counting detector
US20070129609A1 (en) Support network system of medical institution
CN108187191B (en) Infusion monitoring and alarming system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination