CN110706809A - Rare disease diagnosis system and teaching application - Google Patents
Rare disease diagnosis system and teaching application Download PDFInfo
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Abstract
The invention discloses a rare disease diagnosis system and teaching application, which comprises a cloud database, wherein the cloud database is connected with a hospital main control center through a verification system, the hospital main control center comprises a background server module, and an information storage device, a short message sending module, a keyword matching module, an inspection data scanning input module and a disease risk degree analysis module are sequentially connected to the background server module, wherein the keyword matching module, the inspection data scanning input module and the disease risk degree analysis module are connected with a foreground computer module, and the foreground computer module is connected with the background server module through a queuing module. The invention has the beneficial effects that: moreover, doctors with certain experience can be quickly found, manpower and material resources are reduced, so that the patient cannot delay the treatment probability due to the fact that the patient looks for the treatment back and forth, the referral speed is high, and the probability of the recovery of the patient after treatment is increased.
Description
Technical Field
The invention relates to the technical field of rare disease detection, in particular to a rare disease diagnosis system and teaching application.
Background
The rare diseases refer to diseases with extremely low incidence rate, and according to the definition of the world health organization, the rare diseases refer to the diseases with the sick people accounting for 0.65-1 per mill of the general population. Although the incidence rate of the rare diseases is not high, China is a large population country, the number of the rare diseases is not small under the condition of a huge population base, and the total number of the population reaches tens of millions according to preliminary statistics.
For rare diseases, a combination of phenotypic and genetic data is often required for diagnosis and a corresponding treatment regimen. In the past rare disease diagnosis process, hospitals often need to provide partial diagnosis records and gene samples of patients to gene testing companies of third parties for analysis and diagnosis, the third party testing companies return paper reports to the hospitals, doctors often have various questions about the diagnosis reports, such as incorrect or incomplete phenotypes cleared from the diagnosis records by the third party testing companies, insufficient match between pathogenic genes and phenotypes observed by the doctors, and the like. Need communicate with third party's detection company again, cause the waste of manpower and materials, also can prolong patient's time of diagnosing.
Aiming at the problems in the related art, the application number 201710804755 and the invention name of an internet-based rare disease auxiliary diagnosis system and a using method thereof provide the internet-based rare disease auxiliary diagnosis system and the using method thereof, so that the diagnosis of rare diseases is more accurate and efficient. However, the main function of the system is to utilize the AI engine to perform remote diagnosis on the patient, thereby avoiding the problems of seeking medical help step by step and running many places.
However, the inventor finds that the diagnosis of the rare diseases cannot be ensured accurately even by professional doctors and large comprehensive hospitals, and the types of the rare diseases are different and continuously evolve although the incidence rate of the rare diseases is small. By simply utilizing an AI engine or a cloud data technology, only rare cases similar to or similar to existing cases can be diagnosed, but more potential abnormal rare diseases cannot be diagnosed or discovered; the remote diagnosis is extremely uncertain, and finally, the patient continuously enters different hospitals.
In addition, the above-mentioned prior art can only display a certain result to the patient, and cannot deal with the case where the AI system does not obtain a result, to be specific, there is a possibility of misdiagnosis. The foregoing is an admission that, aside from the aforementioned 201710804755, the inventors are aware of the time of filing the application as of the day of filing and is not admitted to be prior art. In addition, in the prior art, a rare disease diagnosis system which is used for teaching application is not provided.
Disclosure of Invention
In view of the problems in the related art, the present invention provides a rare disease diagnosis system to overcome the above technical problems in the related art.
The technical scheme of the invention is realized as follows:
according to one aspect of the invention, the rare disease diagnosis system comprises a cloud database, wherein the cloud database is connected with a hospital main control center through a verification system, the hospital main control center comprises a background server module, an information storage device, a short message sending module, a keyword matching module, an inspection data scanning input module and a disease risk degree analysis module are sequentially connected to the background server module, the keyword matching module, the inspection data scanning input module and the disease risk degree analysis module are connected with a foreground computer module, the foreground computer module is connected with the background server module through a queuing module, a communication module, a residence input module and a referral module are connected to the foreground computer module, and the referral module is connected with the disease risk degree analysis module;
the cloud database is supported by the information network platform on the basis of information acquisition through the Internet of a hospital main control center, so that medical resources in the platform can realize information exchange and resource sharing in the platform, and the medical resources in the platform are used for storing all professional data, user accounts and uploaded requests and information related to rare diseases without changing the system and storage of the medical resources in the platform;
the verification system is used for verifying whether the user is qualified to access the cloud database;
the background server module is used for searching and uploading data to the cloud database;
the information storage device is used for storing the identity information of medical personnel, the main treatment diseases, the rare diseases of treatment and some treatment histories;
the short message sending module is used for sending the rare diseases matched with the treatment range of the medical staff in the hospital to relevant staff through the short message sending module so as to make subsequent preparation;
different from the prior art, the system also comprises a keyword input module, and if rare diseases which cannot be judged at that time appear, related keywords can be input according to the keyword input module to carry out necessary supplementary diagnosis; the input and supplementary diagnosis comprises corresponding or similar cases obtained by matching input keywords and judging similarity; this situation is similar to existing AI engines;
more importantly, however, the invention adopts a keyword input mode and also supports the active input of medical staff, and the active input selects the most possible and potential cases for matching based on the existing inspection data and the experience of the medical staff, thereby avoiding the possibility of misdiagnosis, particularly missed diagnosis to the greatest extent.
The examination data scanning input module can send examination data to other hospitals for judgment through the examination data scanning input module if rare diseases which cannot be judged by the hospital appear;
the disease risk degree analysis module is used for judging the risk degree of the disease;
the front desk computer module is used for facilitating the connection of medical personnel with the back desk server module at any time through the front desk computer;
the queuing module queues according to the disease risk degree if a condition needing referral occurs;
the communication module can carry out remote communication diagnosis on the patient;
as another advantage of the present invention, the system further comprises a residence input module, which can obtain residence addresses, and facilitate the subsequent transfer to find the nearest hospital;
for example, by manual or identification card scanning; or may be input directly.
Optionally, be connected with password management system on the hospital master control center, password management system includes:
the user registration module is used for registering a new account and storing the new account to a database through a hospital master control center;
the password modification module is used for modifying the password of the account and storing the new password into the verification system through the hospital master control center;
the modified progress notification mode module is used for modifying the notification mode of the progress notification unit and storing the new notification mode to the verification system;
and the password retrieving module is used for retrieving the account password.
Optionally, the referral module comprises an emergency call judgment module, a common diagnosis module, an address screening module, a procedure network transfer module and a calling ambulance module, wherein the address screening module, the procedure network transfer module and the calling ambulance module are respectively connected with the emergency call judgment module, and the common diagnosis module is connected with the calling ambulance module;
as another advantage of the present invention, the system further comprises
The emergency call judgment module judges whether the disease is a fast onset or not according to the data in the cloud database;
the common diagnosis module judges whether the disease is a slow disease according to the data in the cloud database;
therefore, the nearest hospital which can be referral can be searched by taking the patient residence as the center through the address screening module and the residence input module;
if a patient needing referral in emergency treatment appears, the procedure network transfer module can be used for paying referral, so that referral time is reduced, and convenience is brought to medical treatment;
if the calling rescue vehicle module needs to conduct a referral immediately, the calling rescue vehicle module can call the rescue vehicle to conduct the referral through the foreground computer module.
Optionally, the queuing module comprises an emergency queuing module and a common diagnosis queuing module, and if the risk of disease is high and emergency queuing is required, the hospital background server module displays the emergency queuing module through the foreground computer module so as to perform corresponding work in time.
Optionally, the communication module includes a video communication module and a voice communication module.
Optionally, the foreground computer module includes the computer body, the adaptation communication module includes the camera, the pronunciation communication module includes the microphone, the camera with the microphone is all installed on the computer body.
Optionally, the cloud database stores some keywords including the name of the rare disease, the cause of the rare disease, specific signs of the pathology in the early, middle and late stages, medication, dietary care, preventive care, disease diagnosis, examination methods and complications, as well as the cause of the rare disease, and specific signs of the pathology in the early, middle and late stages.
Optionally, the background server module is provided with a serial number and an IP address of the hospital, and the serial number and the IP address of the hospital are stored in the cloud database.
With the above system, diagnosis of rare diseases can be performed as follows:
judging whether the disease is a rare disease or not, judging whether the disease is a common disease in the department and other departments according to the experience of medical personnel, and determining the disease as the rare disease after the judgment of multiple departments;
inquiring, namely inputting an account password into the cloud database through a foreground computer module through a background service area, and inquiring a corresponding rare disease name through inputting keywords;
matching, namely listing the query results with the matching degree of 80%;
inquiring related medical personnel for treating the disease through enumerated results, and informing according to the arrangement of the matching degree from high to low;
if the patient is a medical worker related to the hospital, the patient directly notifies the related worker of preparation through a short message, and treatment can be directly performed after judgment is completed;
if the person is not the related person of the hospital, the person is notified by a short message, and the time of the related person is waited for to be left;
if the person is not the relevant person of the hospital and the time is left, the remote judgment is carried out through the communication module, and if the judgment result is correct, the referral notice can be carried out;
analyzing the judgment result through a disease risk degree analysis module to judge whether to transfer to a hospital immediately;
if the patient needs to be transferred immediately, the patient asks the relevant personnel and then informs the ambulance to transfer the patient.
Furthermore, the relevant personnel can pay the cost and handle the procedure at the hospital, and inform the referral hospital to prepare for treatment, and the procedure is transferred to the hospital needing the referral through the procedure network transfer module, so that the quick referral can be directly carried out.
In addition, the invention also provides a teaching application of the rare disease diagnosis system, and the rare disease diagnosis system is used for teaching application.
The invention has the beneficial effects that:
(1) through the cloud database, some rare diseases can be input into the cloud database in advance through experience and experience of medical staff, and then query is carried out as required, so that judgment of a third party is reduced, and the condition that a doctor makes a question about a diagnosis report cannot be generated;
(2) the diagnosis efficiency is high, the accuracy is high, a doctor with certain experience can be quickly found, manpower and material resources are reduced, the patient cannot delay the treatment probability due to the fact that the patient looks for the treatment back and forth, the referral speed is high, and the probability of the recovery of the patient after treatment is increased.
(3) When the existing cloud database can not obtain a correct result, the experience of a doctor is fully utilized through the keyword input module to carry out active input. The active input selects the most possible and potential cases for matching based on the existing inspection data and the experience of medical staff, and avoids the possibility of misdiagnosis or missed diagnosis to the maximum extent.
(4) Not only can the diagnosis result be obtained, but also the severity and the emergency degree can be further judged, and the nearest hospital which can be subjected to transfer treatment can be searched by taking the patient residence as the center through the equipped address screening module and the residence input module, so that the waste of the procedures of further consultation, transfer and the like is avoided.
(5) The rare disease diagnosis system is convenient for teaching and application, and lays a foundation for students to learn rare disease diagnosis.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments 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 it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of a rare disease diagnostic system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a hospital master control center in a rare disease diagnosis system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a diagnostic module in the rare disease diagnostic system according to an embodiment of the present invention;
FIG. 4 is one of the flow charts of a rare disease diagnosis method according to an embodiment of the present invention;
fig. 5 is a second flowchart of a rare disease diagnosis method according to an embodiment of the present invention.
Reference numerals;
1. a cloud database; 2. a verification system; 3. a hospital master control center; 4. a background server module; 5. an information storage; 6. a short message sending module; 7. a keyword matching module; 8. an inspection data scanning input module; 9. a disease risk analysis module; 10. a foreground computer module; 11. a queuing module; 12. calling the rescue car module; 13. a communication module; 14. a residence input module; 15. a referral module; 16. a password management system; 17. an emergency call judgment module; 18. a common diagnosis module; 19. an address screening module; 20. and a procedure network transfer module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
As shown in fig. 1-3, according to an embodiment of the present invention, there is provided a rare disease diagnosis system, including a cloud database 1, the cloud database 1 is connected to a hospital main control center 3 through a verification system 2, the hospital main control center 3 includes a background server module 4, the background server module 4 is sequentially connected to an information storage 5, a short message sending module 6, a keyword matching module 7, an inspection data scanning input module 8, and a disease risk analysis module 9, wherein the keyword matching module 7, the inspection data scanning input module 8, and the disease risk analysis module 9 are connected to a foreground computer module 10, the foreground computer module 10 is connected to the background server module 4 through a queuing module 11, the foreground computer module 10 is connected to a communication module 13, a residence input module 14, and a referral module 15, the referral module 15 is connected with the disease risk analysis module 9;
the cloud database is supported by the information network platform on the basis of information acquisition through the Internet of a hospital main control center, so that medical resources in the platform can realize information exchange and resource sharing in the platform, and the medical resources in the platform are used for storing all professional data, user accounts and uploaded requests and information related to rare diseases without changing the system and storage of the medical resources in the platform;
the verification system is used for verifying whether the user is qualified to access the cloud database;
the background server module is used for searching and uploading data to the cloud database;
the information storage device is used for storing the identity information of medical personnel, the main treatment diseases, the rare diseases of treatment and some treatment histories;
the short message sending module is used for sending the rare diseases matched with the treatment range of the medical staff in the hospital to relevant staff through the short message sending module so as to make subsequent preparation;
and if rare diseases which cannot be judged at that time occur, the keyword input module can input related keywords according to the keyword input module, and most possible and potential cases are selected for matching, so that the possibility of misdiagnosis, particularly missed diagnosis, is avoided to the greatest extent. The examination data scanning input module can send examination data to other hospitals for judgment through the examination data scanning input module if rare diseases which cannot be judged by the hospital appear;
the disease risk degree analysis module is used for judging the risk degree of the disease;
the front desk computer module is used for facilitating the connection of medical personnel with the back desk server module at any time through the front desk computer;
the queuing module queues according to the disease risk degree if a condition needing referral occurs;
the communication module can carry out remote communication diagnosis on the patient;
the residence address is obtained through manual or identity card scanning by the residence input module, and the subsequent transfer is convenient to find the nearest hospital.
In addition, in an embodiment, for the hospital main control center 3, a password management system 16 is connected to the hospital main control center 3, and the password management system 16 includes:
the user registration module is used for registering a new account and storing the new account to a database through the hospital main control center 3;
the password modifying module is used for modifying the password of the account and storing the new password into the verification system 2 through the hospital main control center 3;
the modified progress notification mode module is used for modifying the notification mode of the progress notification unit and storing the new notification mode to the verification system 2;
and the password retrieving module is used for retrieving the account password.
For the referral module 15, the referral module 15 includes an emergency judgment module 17, a general diagnosis module 18, an address screening module 19, a procedure network transfer module 20 and a call ambulance module 12, the address screening module 19, the procedure network transfer module 20 and the call ambulance module 12 are respectively connected with the emergency judgment module 17, and the general diagnosis module 18 is connected with the call ambulance module 12;
the emergency call judgment module judges whether the disease is a fast onset or not according to the data in the cloud database;
the common diagnosis module judges whether the disease is a slow disease according to the data in the cloud database;
the address screening module is used for searching a hospital which is closest to the residence of the patient and can be subjected to referral by taking the residence of the patient as a center through the residence input module;
if a patient needing referral in emergency treatment appears, the procedure network transfer module can be used for paying referral, so that referral time is reduced, and convenience is brought to medical treatment;
if the calling rescue vehicle module needs to conduct a referral immediately, the calling rescue vehicle module can call the rescue vehicle to conduct the referral through the foreground computer module.
For the queuing module 11, the queuing module 11 includes an emergency queuing module and a general-purpose queuing module, and if the risk of disease is high and emergency queuing is required, the hospital background server module displays the emergency queuing module through the foreground computer module so as to perform corresponding work in time.
For the communication module 13, the communication module 13 includes a video communication module and a voice communication module.
For foreground computer module 10, foreground computer module 10 includes the computer body, adaptation communication module includes the camera, voice communication module includes the microphone, the camera with the microphone is all installed on the computer body.
For the cloud database 1, the cloud database 1 stores some keywords including the name of the rare disease, the cause of the rare disease, specific signs of the disease in the early, middle and late stages, medication, dietary care, preventive care, disease diagnosis, examination methods and complications, and the cause of the rare disease, specific signs of the disease in the early, middle and late stages.
For the background server module, a serial number and an IP address of the hospital are provided on the background server module, and the serial number and the IP address of the hospital are stored in the cloud database 1.
As shown in fig. 4-5, with the above system, diagnosis of rare diseases can be performed as follows:
step S101, judging whether the disease is a rare disease or not, judging whether the disease is a common disease in the department and other departments according to the experience of medical personnel, and determining the disease as the rare disease after the judgment of multiple departments;
step S103, inquiring, namely inputting an account password into the cloud database through a background service area by a foreground computer module, and inquiring a corresponding rare disease name through inputting keywords;
step S105, matching, namely listing the query results with the matching degree reaching 80%;
step S107, inquiring related medical staff for treating the disease through enumerated results, and informing according to the arrangement of the matching degree from high to low;
step S109, if the patient is a relevant medical worker in the hospital, the patient is directly informed of the relevant worker through a short message to prepare, and after the judgment is finished, the patient can be directly treated;
step S1011, if the person is not the relevant person in the hospital, the person is notified by a short message, and the time for the relevant person is left;
step S1013, if the person is not the relevant person in the hospital and the time is left, the remote judgment is carried out through the communication module, and if the judgment result is correct, a referral notice can be carried out;
step S1015, the above judgment result is analyzed by the disease risk degree analysis module to judge whether to transfer immediately;
and step S1017, if the patient needs to be transferred immediately, inquiring related personnel, and then informing the ambulance to transfer.
In addition, when the system is applied specifically, related personnel can pay the cost and handle procedures in the hospital, and simultaneously inform the referral hospital to prepare for treatment, and the procedures are transferred to the hospital needing referral through the procedure network transfer module, so that the quick referral can be directly carried out.
As another embodiment of the invention, the invention also provides a teaching application of the rare disease diagnosis system, and the rare disease diagnosis system is used for teaching application, thereby laying a foundation for students to learn rare disease diagnosis.
In conclusion, according to the technical scheme of the invention, some rare diseases can be input into the cloud database in advance through experience and experience of medical staff through the cloud database, then the rare diseases can be inquired as required, judgment of a third party is reduced, the condition that a doctor doubts a diagnosis report is not generated, the diagnosis efficiency is high, the accuracy is high, the doctor with certain experience can be quickly found, manpower and material resources are reduced, the patient cannot delay treatment due to the fact that the patient looks for treatment back and forth, the referral speed is high, and the probability of recovery of the patient after treatment is increased.
More importantly, when the existing cloud database can not obtain a correct result, the experience of a doctor is fully utilized through the keyword input module to carry out active input. The active input selects the most possible and potential cases for matching based on the existing inspection data and the experience of medical staff, and avoids the possibility of misdiagnosis or missed diagnosis to the maximum extent.
Moreover, by utilizing the diagnosis system, not only the diagnosis result is obtained, but also the severity and the emergency degree are further judged, and the nearest hospital which can be transferred is searched by taking the patient residence as the center through the equipped address screening module and the residence input module, so that the waste of the procedures of further consultation, transferring and the like is avoided.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A rare disease diagnosis system comprises a cloud database (1), wherein the cloud database (1) is connected with a hospital main control center (3) through a verification system (2), the hospital main control center (3) comprises a background server module (4), and an information storage device (5), a short message sending module (6), a keyword matching module (7), an examination data scanning input module (8) and a disease risk degree analysis module (9) are sequentially connected onto the background server module (4); the system comprises a keyword matching module (7), an inspection data scanning input module (8) and a disease risk degree analysis module (9), wherein the keyword matching module (7), the inspection data scanning input module (8) and the disease risk degree analysis module (9) are connected with a foreground computer module (10), the foreground computer module (10) is connected with a background server module (4) through a queuing module (11), the foreground computer module (10) is connected with a communication module (13), a residence place input module (14) and a referral module (15), and the referral module (15) is connected with the disease risk degree analysis module (9);
the cloud database is used for storing all professional data related to rare diseases, user accounts, and uploaded requests and information;
the verification system is used for verifying whether the user is qualified to access the cloud database;
the background server module is used for searching and uploading data to the cloud database;
the information storage device is used for storing the identity information of medical personnel, the main treatment diseases, the rare diseases of treatment and some treatment histories;
the short message sending module is used for sending the rare diseases matched with the treatment range of the medical staff in the hospital to relevant staff through the short message sending module so as to make subsequent preparation;
the disease risk degree analysis module is used for judging the risk degree of the disease;
the front desk computer module is used for facilitating the connection of medical personnel with the back desk server module at any time through the front desk computer;
the queuing module queues according to the disease risk degree if a condition needing referral occurs;
characterized in that the system further comprises:
the keyword input module can input related keywords according to the keyword input module if rare diseases which cannot be judged at that time appear;
the examination data scanning input module can send examination data to other hospitals for judgment through the examination data scanning input module if rare diseases which cannot be judged by the hospital appear;
and the residence input module acquires a residence address, so that subsequent transfer is facilitated to find the nearest hospital.
2. A rare disease diagnosis system according to claim 1, wherein a password management system (16) is connected to the hospital main control center (3), and the password management system (16) comprises:
the user registration module is used for registering a new account and storing the new account to a database through a hospital master control center (3);
the password modifying module is used for modifying the password of the account and storing the new password into the verification system (2) through the hospital main control center (3);
the modified progress notification mode module is used for modifying the notification mode of the progress notification unit and storing the new notification mode to the verification system (2);
and the password retrieving module is used for retrieving the account password.
3. The rare disease diagnosis system according to claim 2, wherein the referral module (15) comprises an emergency treatment judgment module (17), a general diagnosis module (18), an address screening module (19), a procedure network transfer module (20) and a call ambulance module (12), the address screening module (19), the procedure network transfer module (20) and the call ambulance module (12) are respectively connected with the emergency treatment judgment module (17), and the general diagnosis module (18) is connected with the call ambulance module (12);
the emergency call judgment module judges whether the disease is a fast onset or not according to the data in the cloud database;
the common diagnosis module judges whether the disease is a slow disease according to the data in the cloud database;
the address screening module is used for searching a hospital which is closest to the residence of the patient and can be subjected to referral by taking the residence of the patient as a center through the residence input module;
if a patient needing referral in emergency treatment appears, the procedure network transfer module can be used for paying referral, so that referral time is reduced, and convenience is brought to medical treatment;
if the calling rescue vehicle module needs to conduct a referral immediately, the calling rescue vehicle module can call the rescue vehicle to conduct the referral through the foreground computer module.
4. A rare disease diagnosis system according to claim 3, wherein the queue module (11) comprises an emergency queue module and a general call queue module, and if the risk of disease is high and emergency queue is needed, the hospital background server module displays the emergency queue module through the foreground computer module so as to make corresponding work in time.
5. A rare disease diagnosis system according to claim 4, wherein said communication module (13) comprises a video communication module and a voice communication module.
6. A rare disease diagnosis system according to claim 5, wherein the front desk computer module (10) comprises a computer body, the adaptive communication module comprises a camera, the voice communication module comprises a microphone, and both the camera and the microphone are mounted on the computer body.
7. A rare disease diagnosis system according to claim 6, wherein the cloud database (1) stores keywords comprising the name of rare disease, the cause of rare disease, specific signs of disease in early, middle and late stages, medication, dietary care, preventive care, disease diagnosis, examination methods and complications, as well as the cause of rare disease, specific signs of disease in early, middle and late stages.
8. A rare disease diagnosis system according to claim 7, wherein the background server module is provided with a number and an IP address of the hospital, and the number and the IP address of the hospital are stored in the cloud database (1).
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112735555A (en) * | 2021-01-20 | 2021-04-30 | 山东第一医科大学附属省立医院(山东省立医院) | Rare disease data acquisition and reporting method and system |
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