CN113808741B - Cancer prevention and control intelligent network platform - Google Patents
Cancer prevention and control intelligent network platform Download PDFInfo
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Abstract
The invention provides an intelligent network platform for cancer prevention and control. The scheme comprises the following steps: the cancer screening subsystem is used for evaluating the risk of resident cancer, screening high risk groups and storing data obtained by screening into a cancer database; the cancer prevention and control scientific research subsystem is used for carrying out targeted screening according to a preset research target and acquiring basic data of cancer prevention and control scientific research; the data intelligent analysis subsystem is used for inquiring all cancer data and visually displaying data characteristics; the cancer prevention and control propaganda and education platform is used for providing online cancer science popularization education information; and the cancer database is used for storing all the basic data, the image data and the biological detection data. According to the scheme, the efficient and effective screening of the cancer state is realized through automatic information entry, information processing and information display and combined risk assessment.
Description
Technical Field
The invention relates to the technical field of medical screening, in particular to an intelligent cancer prevention and control network platform.
Background
The morbidity and mortality of malignant tumors in China rise year by year, and the burden of the malignant tumors is serious. Malignant tumors are the first cause of death among urban and rural residents. Because the number of the patients is large and the fatality is high, the cancer is not only a simple disease problem, but also a public health problem and even a social life problem.
However, in the prior art, the general process of finding malignant tumors is found after the fact or when the malignant tumors cannot be inhibited. In this case, most cancers are difficult to treat. However, in practice, if the possibility of cancer can be known early and the treatment is carried out by an effective medical means, the cure rate of cancer can be as high as 80% to 90%. Therefore, there is a need for cancer prevention and control screening work that can lead to early suppression and cure before cancer can spread.
Disclosure of Invention
In view of the above problems, the invention provides an intelligent cancer prevention and control network platform, which can realize efficient and effective screening of cancer states through automatic information entry, information processing and information display in combination with high-risk assessment sequencing.
According to a first aspect of the embodiments of the present invention, an intelligent network platform for cancer prevention and control is provided.
In one or more embodiments, preferably, the cancer prevention and control intelligent network platform comprises:
the cancer screening subsystem is used for evaluating the risk of resident cancer, screening high risk groups and storing data obtained by screening into a cancer database;
the cancer prevention and control scientific research subsystem is used for carrying out targeted screening according to a preset research target and acquiring basic data of cancer prevention and control scientific research;
the data intelligent analysis subsystem is used for inquiring all cancer data and visually displaying data characteristics;
the cancer prevention and control propaganda and education platform is used for providing online cancer science popularization education information;
a cancer database for storing all the basic data, image data and biological detection data;
wherein the cancer screening subsystem comprises:
the account and institution management submodule is used for classifying and inputting accounts of institutions and storing input information according to hospital codes, wherein the classification of the accounts of the institutions at least comprises a recruitment institution, a screening institution and a management institution;
the recruitment submodule is used for recruiting personnel and acquiring all personnel information participating in the recruiting;
the screening submodule is used for carrying out biological detection according to all the information of personnel involved in recruitment to obtain recruitment evaluation results; acquiring a high-risk assessment table, the emergency degree of patients and the participation sorting time according to all acquired sample information to generate a high-risk assessment sorting sequence;
the biological sample submodule is used for carrying out sample extraction at fixed intervals on sample information and automatically issuing and mailing data to be issued according to personal information corresponding to the extracted samples;
the image transmission submodule is used for periodically acquiring monitoring data, sending personnel information and image information to the data intelligent analysis subsystem for display, and storing display information through an external network;
and the follow-up sub-module is used for automatically generating a follow-up list, carrying out regular follow-up on the testee according to a follow-up scheme, and recording follow-up results of whether the testee is sick or dead.
In one or more embodiments, preferably, the classifying entry of the account of the institution and the storage of the entered information according to the hospital code specifically include:
completing the input of the information of the institution and the account, and storing the information in the data intelligent analysis subsystem;
establishing the starting time of the organization and the account information and the role of the organization;
setting a mechanism code, wherein the preset position of the mechanism code is a 2-bit code, and the 2-bit code is used for marking a hospital;
account types are set, including regulatory agencies, screening agencies, and recruitment agencies.
In one or more embodiments, preferably, the performing recruitment and obtaining information of all persons participating in the recruitment specifically include:
recruiting personnel to acquire data of registration personnel;
filling a high-risk assessment form for the announcer;
and sending a biological detection notice to the personnel who fill the high-risk assessment form.
In one or more embodiments, preferably, the biological detection is performed according to information of all persons involved in the recruitment, so as to obtain the result of the recruitment assessment; the acquiring process of the recruitment evaluation result is to acquire a high-risk evaluation table, the emergency degree of patients and the participation sorting time according to all acquired sample information, and generate a high-risk evaluation sorting sequence, which specifically includes:
acquiring a current check-in mode, wherein the check-in mode comprises one-key check-in and recruitment site reservation;
when the check-in mode is detected as a one-key check-in mode, performing check-in appointment of all checks in the same day by taking personnel information as a unit;
when the booking mode of the recruitment point is detected, checking in according to the detection items according to the booking information in the recruitment process;
extracting a biological sample, and performing information input on a biological sample bar code on a frozen tube of the biological sample;
after the screening result issued by the hospital is collected, the screening result is recorded as data to be issued, and the data is automatically issued before the next screening.
In one or more embodiments, preferably, the extracting samples at fixed intervals for the sample information, and automatically issuing and mailing the data to be issued according to the personal information corresponding to the extracted samples specifically include:
for sample information, automatically collecting ID numbers for 1 time at intervals of 15 minutes, and storing the ID numbers as a sample data set;
detecting samples corresponding to all data in the sample data set according to the sequence of the bar code generation time of the samples;
extracting personal information and inspection item information corresponding to the bar code from the memory;
after finishing storing the biological sample information, sending the mobile phone short message of which the information extraction is finished and the result is waited to the corresponding personnel participating in the screening;
when the screening is finished, automatically extracting data to be issued;
extracting personal mailing information according to the data to be sent, and sending a mailing appointment;
and judging whether the mailing is finished or not, and automatically recording the mailing information when the mailing is finished.
In one or more embodiments, preferably, the obtaining a high risk assessment table, a patient emergency degree, and a participation sorting time according to the obtained all sample information, and generating a high risk assessment sorting order specifically includes:
acquiring all high-risk assessment tables, and extracting patient emergency assessment scores and participation sequencing time from the high-risk assessment tables;
setting a first constraint index as the number of patients participating in the sorting for more than 3 days;
setting a second constraint index as a number of patient urgency scores exceeding 50;
calculating negotiation parameters by using a first calculation formula by using the first constraint index and the second constraint index;
constraining the negotiation parameters by using a second calculation formula;
solving the high-risk assessment ranking sequence when the negotiation parameters take the minimum value by using a third calculation formula;
the first calculation formula is:
S＝(K1-k10)(K2-k20)
wherein S is the negotiation parameter, K1Is the first constraint index, K2Is the second constraint index, k10For the first negotiation parameter limit, k20A second negotiation parameter limit;
the second calculation formula is:
the third calculation formula is:
wherein seq is the high risk assessment sorting order,
as a function of the training minimum.
In one or more embodiments, preferably, the periodically collecting monitoring data, sending the personnel information and the image information to the data intelligent analysis subsystem for display, and storing the display information through an external network specifically includes:
completing the acquisition of all monitoring data;
acquiring high-risk assessment sequencing and corresponding personnel information;
sending the personnel information and the image information of the top 10 high-risk sequences to a data intelligent analysis subsystem for display;
video storage of display influence is performed through the preposition of an external network;
for the correlated transmission of the personal information, the personal name, age and native information are stored in detail.
In one or more embodiments, preferably, the cancer database stores data further comprising: the detection result of the cancer patient, family information, emergency contact information and contact information, and the current high-risk assessment ranking order.
According to a second aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of any one of the first aspect of embodiments of the present invention.
According to a third aspect of embodiments of the present invention, there is provided an electronic device, comprising a memory and a processor, the memory being configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the steps of any one of the first aspects of embodiments of the present invention.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
1) in the embodiment of the invention, information is input into the existing institution account, institution marking of the power system is realized according to hospital numbers, and the information of independent personnel of a management institution, a screening institution and a recruitment institution is input, so that the personnel screening range is expanded, and the possibility of troubleshooting is improved.
2) In the embodiment of the invention, the full-automatic information input and data display are completed through the sample extraction and data transmission, and the evaluation efficiency is improved.
3) In the embodiment of the invention, the doctor-patient parameter extraction method capable of acquiring the guaranteed high-risk assessment sequencing sequence is obtained through the negotiation parameter training.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced 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 based on these drawings without creative efforts.
Fig. 1 is a block diagram of an intelligent network platform for cancer prevention and control according to an embodiment of the present invention.
Fig. 2 is a flowchart of classified entry of accounts of an institution in an intelligent cancer prevention and control network platform, and storing the entered information according to hospital codes, according to an embodiment of the present invention.
Fig. 3 is a flowchart of performing staff recruitment and obtaining information of all staff participating in the recruitment in an intelligent cancer prevention and control network platform according to an embodiment of the present invention.
Fig. 4 is a flowchart of biological detection according to information of all persons involved in recruitment in an intelligent cancer prevention and control network platform to obtain recruitment assessment results according to an embodiment of the present invention.
Fig. 5 is a flowchart of sample extraction performed at regular intervals on sample information in an intelligent network platform for cancer prevention and control according to an embodiment of the present invention, and automatic issuing and mailing of data to be issued are performed according to personal information corresponding to the extracted samples.
Fig. 6 is a flowchart of generating a high-risk assessment ranking sequence by obtaining a high-risk assessment table, patient urgency levels, and participation ranking times according to all obtained sample information in an intelligent cancer prevention and control network platform according to an embodiment of the present invention.
Fig. 7 is a flowchart of a process of periodically collecting monitoring data, sending personnel information and image information to the data intelligent analysis subsystem for display, and storing display information through an external network in an intelligent cancer prevention and control network platform according to an embodiment of the present invention.
Fig. 8 is a block diagram of an electronic device in one embodiment of the invention.
Detailed Description
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
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, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The morbidity and mortality of malignant tumors in China rise year by year, and the burden of the malignant tumors is serious. Malignant tumors are the first cause of death among urban and rural residents. Because the number of the patients is large and the fatality is high, the cancer is not only a simple disease problem, but also a public health problem and even a social life problem.
However, in the prior art, the general process of finding malignant tumors is found after the fact or when the malignant tumors cannot be inhibited. In this case, most cancers are difficult to treat. However, in practice, if the possibility of cancer can be known early and the treatment is carried out by an effective medical means, the cure rate of cancer can be as high as 80% to 90%. Therefore, there is a need for cancer prevention and control screening work that can lead to early suppression and cure before cancer can spread.
The embodiment of the invention provides an intelligent network platform for preventing and controlling cancers. According to the scheme, the high-efficiency and effective screening of the cancer state is realized by automatic information input, information processing and information display and high-risk assessment sequencing.
According to a first aspect of the embodiments of the present invention, an intelligent network platform for cancer prevention and control is provided.
Fig. 1 is a block diagram of an intelligent network platform for cancer prevention and control according to an embodiment of the present invention.
In one or more embodiments, preferably, the cancer prevention and control intelligent network platform comprises:
the cancer screening subsystem 101 is used for evaluating the risk of resident cancer, screening high risk groups and storing data obtained by screening into a cancer database;
the cancer prevention and control scientific research subsystem 102 is used for carrying out targeted screening according to a preset research target and acquiring basic data of cancer prevention and control scientific research;
the cancer prevention and control scientific research subsystem 102 and the cancer screening subsystem 101 are the same in form, but the cancer prevention and control scientific research subsystem 102 focuses on how to perform cancer screening for a specific region or a specific range, and is therefore ultimately used for performing cancer screening for a specific research target, and further obtaining basic data used by scientific research.
The data intelligent analysis subsystem 103 is used for inquiring all cancer data and visually displaying data characteristics;
specifically, the data intelligent analysis subsystem 103 can also perform data analysis and data visualization, and at least includes query of cancer data during data analysis.
A cancer prevention and control propaganda and education platform 104 for providing on-line cancer science popularization education information;
specifically, the cancer prevention and control propaganda and education platform 104 should at least have
A cancer database 105 for storing all of the basic data, image data, biological examination data;
wherein the cancer screening subsystem 101 includes at least: cancer guidelines, cancer standards, cancer physicians, and cancer science popularization videos. Cancer screening subsystem 101 is conducting cancer knowledge popularization and guidance for users.
The account and institution management submodule 1011 is used for classifying and inputting accounts of institutions and storing input information according to hospital codes, wherein the classification of the accounts of the institutions at least comprises a recruitment institution, a screening institution and a management institution;
a recruitment sub-module 1012 for recruiting staff to obtain information of all the staff participating in the recruiting;
the screening submodule 1013 is used for performing biological detection according to information of all persons participating in recruitment to obtain a recruitment evaluation result; acquiring a high-risk assessment table, the emergency degree of patients and the participation sorting time according to all acquired sample information to generate a high-risk assessment sorting sequence;
the biological sample sub-module 1014 is used for performing sample extraction at fixed intervals on sample information and automatically issuing and mailing data to be issued according to personal information corresponding to the extracted samples;
the image transmission submodule 1015 is used for periodically collecting monitoring data, sending personnel information and image information to the data intelligent analysis subsystem for display, and storing display information through an external network;
the follow-up sub-module 1016 is used for automatically generating a follow-up list, performing regular follow-up on the subject according to a follow-up scheme, and recording the follow-up result of whether the subject is ill or dead.
In the embodiment of the invention, the setting of each information input unit of data is carried out through the account and mechanism management sub-module, and then personnel examination for actively inquiring information is carried out by utilizing the recruitment mechanism through the recruitment sub-module; and the screening submodule carries out forcible or recommended screening on personnel in a certain area or range, so that the biological sample submodule and the image transmission submodule are used for carrying out data analysis quickly, and the high-risk information extraction submodule specifically carries out independent data processing on the critically ill patients.
Fig. 2 is a flowchart of classified entry of accounts of an institution in an intelligent cancer prevention and control network platform, and storing the entered information according to hospital codes, according to an embodiment of the present invention.
As shown in fig. 2, in one or more embodiments, preferably, the classifying entry of the account of the institution and the storage of the entered information according to the hospital code specifically include:
s201, completing the input of the information of the institution and the account, and storing the information in a data intelligent analysis subsystem;
s202, establishing starting time of the organization and account information and the role of the organization;
s203, setting a mechanism code, wherein the preset position of the mechanism code is a 2-bit code, and the 2-bit code is used for marking a hospital;
and S204, setting account types, wherein the account types comprise a management institution, a screening institution and a recruitment institution.
In the embodiment of the invention, the accounts of the institutions are classified and recorded, and the recorded information is stored according to the hospital codes. The stored entry information includes regulatory agencies, screening agencies, and recruitment agencies. After determining various accounts, the information is respectively input by the roles of different levels.
Fig. 3 is a flowchart of performing staff recruitment and obtaining information of all staff participating in the recruitment in an intelligent cancer prevention and control network platform according to an embodiment of the present invention.
As shown in fig. 3, in one or more embodiments, preferably, the performing recruitment and obtaining information of all persons participating in the recruitment specifically include:
s301, recruiting personnel and acquiring data of registration personnel;
s302, filling a high-risk assessment form for the announcer;
and S303, sending a biological detection notice to the personnel who fill the high-risk assessment form.
In the embodiment of the invention, the recruitment submodule mainly completes the detection of the personnel who actively and actively hope to know the self state, but the detection is limited to inform the current high-risk personnel due to limited resources, and in addition, in the screening process, the community, the living committee and the like are encouraged to carry out organization work so as to complete the recruitment of the personnel in batches.
Fig. 4 is a flowchart of biological detection according to information of all persons involved in recruitment in an intelligent cancer prevention and control network platform to obtain recruitment assessment results according to an embodiment of the present invention.
In one or more embodiments, as shown in fig. 4, preferably, the recruitment assessment result is obtained by performing biological detection according to information of all persons participating in the recruitment; the acquiring process of the recruitment evaluation result is to acquire a high-risk evaluation table, the emergency degree of patients and the participation sorting time according to all acquired sample information, and generate a high-risk evaluation sorting sequence, which specifically includes:
s401, acquiring a current check-in mode, wherein the check-in mode comprises one-key check-in and recruitment site reservation;
s402, when the check-in mode is detected as a one-key check-in mode, performing check-in appointment of all checks in the same day by taking personnel information as a unit;
s403, when a recruitment site reservation mode is detected, checking in according to detection items according to reservation information in the recruitment process;
s404, extracting a biological sample, and performing information input on a biological sample bar code on a frozen tube of the biological sample;
s405, after the screening result issued by the hospital is collected, the screening result is recorded as data to be issued, and the data is automatically issued before the next screening is waited.
In the embodiment of the invention, a flow for personnel exception screening is provided, wherein before screening is carried out, a screened object is determined, and after the screened object is determined. The screening process starts, after the screening process starts, the bar code information recorded in the biological detection sample is automatically extracted and stored in the memory, and when the monitoring result is obtained, the information obtained by extraction in the check-in mode is used for issuing the evaluation result.
Fig. 5 is a flowchart of sample extraction performed at regular intervals on sample information in an intelligent network platform for cancer prevention and control according to an embodiment of the present invention, and automatic issuing and mailing of data to be issued are performed according to personal information corresponding to the extracted samples.
As shown in fig. 5, in one or more embodiments, preferably, the extracting samples at fixed intervals for the sample information, and automatically issuing and mailing the data to be issued according to the personal information corresponding to the extracted samples specifically include:
s501, automatically collecting ID numbers for 1 time at intervals of 15 minutes for sample information, and storing the ID numbers as a sample data set;
s502, detecting samples corresponding to all data in the sample data set according to the sequence of the bar code generation time of the samples;
s503, extracting the personal information and the inspection item information corresponding to the bar code from the memory;
s504, after the biological sample information is stored, sending the mobile phone short messages of which the information extraction is finished and the result is waited to the corresponding personnel participating in the screening;
s505, after the screening is finished, automatically extracting data to be issued;
s506, extracting personal mailing information according to the data to be sent, and sending a mailing appointment;
and S507, judging whether the mailing is finished or not, and automatically recording the mailing information when the mailing is finished.
In the embodiment of the invention, sample information is extracted at fixed intervals, and the evaluation result is automatically issued and mailed according to personal information corresponding to the extracted sample; since actual data samples are various and complicated, in order to display all corresponding samples at corresponding positions, it is necessary to extract sufficient personal information and detection item information, and further, to perform sample screening and detection by using sample information and individuals, such as mailing. The efficiency and the automation degree of the whole cancer screening process are improved.
Fig. 6 is a flowchart of generating a high-risk assessment ranking sequence by obtaining a high-risk assessment table, patient urgency levels, and participation ranking times according to all obtained sample information in an intelligent cancer prevention and control network platform according to an embodiment of the present invention.
As shown in fig. 6, in one or more embodiments, preferably, the obtaining a high risk assessment table, a patient emergency degree, and a participation sorting time according to all the obtained sample information, and generating a high risk assessment sorting sequence specifically includes:
s601, obtaining all high-risk assessment tables, and extracting patient emergency assessment scores and participation sequencing time from the high-risk assessment tables;
s602, setting a first constraint index as the number of patients participating in sorting for more than 3 days;
s603, setting a second constraint index as the number of the patient emergency degree scores exceeding 50;
s604, calculating negotiation parameters by using the first constraint index and the second constraint index and a first calculation formula;
s605, constraining the negotiation parameters by using a second calculation formula;
s606, solving the high-risk assessment sequencing sequence when the negotiation parameters take the minimum value by using a third calculation formula;
the first calculation formula is:
S＝(K1-k10)(K2-k20)
wherein S is the negotiation parameter, K1Is the first constraint index, K2Is the second constraint index, k10For the first negotiation parameter limit, k20A second negotiation parameter limit;
the second calculation formula is:
the third calculation formula is:
wherein seq is the high risk assessment sorting order,
as a function of the training minimum.
In the embodiment of the invention, the high-risk assessment table is subjected to detailed limitation and analysis, the obtained final high-risk assessment sorting sequence can directly give the most reasonable suggestions of the patient through the assessment, so that whether the patient can be effectively treated is ensured, and the treatment of the patient is completed according to the objective high-risk assessment sorting.
Fig. 7 is a flowchart of a process of periodically collecting monitoring data, sending personnel information and image information to the data intelligent analysis subsystem for display, and storing display information through an external network in an intelligent cancer prevention and control network platform according to an embodiment of the present invention.
As shown in fig. 7, in one or more embodiments, preferably, the periodically collecting monitoring data, sending the personnel information and the image information to the data intelligent analysis subsystem for display, and storing the display information through an external network specifically includes:
s701, completing the acquisition of all monitoring data;
s702, acquiring high-risk assessment sequencing and corresponding personnel information;
s703, sending the personnel information and the image information of the top 10 of the high-risk sequence to a data intelligent analysis subsystem for display;
s704, video storage of display influence is performed through the front-end of an external network;
s705, carrying out association transmission on the personal information, and storing the personal name, age and native information in detail.
In one or more embodiments, preferably, the cancer database stores data further comprising: the detection result of the cancer patient, family information, emergency contact information and contact information, and the current high-risk assessment ranking order.
In the embodiment of the invention, all the acquired data are displayed on line in the current influence transmission system, so that the information of key patients is visually displayed on the platform, and doctors can conveniently and rapidly process and cure the information.
In one or more embodiments, preferably, the cancer database comprises at least: the detection result of the cancer patient, family information, emergency contact information and contact information, and the current high-risk assessment ranking order.
According to a second aspect of embodiments of the present invention, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of any one of the first aspect of embodiments of the present invention.
According to a third aspect of the embodiments of the present invention, there is provided an electronic apparatus. Fig. 8 is a block diagram of an electronic device in one embodiment of the invention. The electronic device shown in fig. 8 is a general-purpose cancer prevention and control intelligent network device, which includes a general-purpose computer hardware structure, which includes at least a processor 801 and a memory 802. The processor 801 and the memory 802 are connected by a bus 803. The memory 802 is adapted to store instructions or programs executable by the processor 801. The processor 801 may be a stand-alone microprocessor or a collection of one or more microprocessors. Thus, the processor 801 implements the processing of data and the control of other devices by executing instructions stored by the memory 802 to perform the method flows of embodiments of the present invention as described above. The bus 803 connects the above components together, and also connects the above components to a display controller 804 and a display device and an input/output (I/O) device 805. Input/output (I/O) devices 805 may be a mouse, keyboard, modem, network interface, touch input device, motion sensing input device, printer, and other devices known in the art. Typically, the input/output devices 805 are coupled to the system through input/output (I/O) controllers 806.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
1) in the embodiment of the invention, information is input into the existing institution account, institution marking of the power system is realized according to hospital numbers, and the information of independent personnel of a management institution, a screening institution and a recruitment institution is input, so that the personnel screening range is expanded, and the possibility of troubleshooting is improved.
2) In the embodiment of the invention, the full-automatic information input and data display are completed through the sample extraction and data transmission, and the evaluation efficiency is improved.
3) In the embodiment of the invention, the doctor-patient parameter extraction method capable of acquiring the guaranteed high-risk assessment sequencing sequence is obtained through the negotiation parameter training.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. An intelligent network platform for cancer prevention and control, the platform comprising:
the cancer screening subsystem is used for evaluating the risk of resident cancer, screening high risk groups and storing data obtained by screening into a cancer database;
the cancer prevention and control scientific research subsystem is used for carrying out targeted screening according to a preset research target and acquiring basic data of cancer prevention and control scientific research;
the data intelligent analysis subsystem is used for inquiring all cancer data and visually displaying data characteristics;
the cancer prevention and control propaganda and education platform is used for providing online cancer science popularization education information;
the cancer database is used for storing all basic data, image data and biological detection data;
wherein the cancer screening subsystem comprises:
the account and institution management submodule is used for classifying and inputting accounts of institutions and storing input information according to hospital codes, wherein the classification of the accounts of the institutions at least comprises a recruitment institution, a screening institution and a management institution;
the recruitment submodule is used for recruiting personnel and acquiring all personnel information participating in the recruiting;
the screening submodule is used for carrying out biological detection according to all the information of personnel involved in recruitment to obtain recruitment evaluation results; acquiring a high-risk assessment table, the emergency degree of patients and the participation sorting time according to all acquired sample information to generate a high-risk assessment sorting sequence;
the biological sample submodule is used for carrying out sample extraction at fixed intervals on sample information and automatically issuing and mailing data to be issued according to personal information corresponding to the extracted samples;
the image transmission submodule is used for periodically acquiring monitoring data, sending personnel information and image information to the data intelligent analysis subsystem for display, and storing display information through an external network;
the follow-up sub-module is used for automatically generating a follow-up list, carrying out regular follow-up on the subject according to a follow-up scheme, and recording follow-up results of whether the subject is ill or dead;
the method comprises the following steps of obtaining a high-risk assessment table, the emergency degree of patients and the time for participating in ranking according to all obtained sample information, and generating a high-risk assessment ranking sequence, wherein the method specifically comprises the following steps:
acquiring all high-risk assessment tables, and extracting patient emergency assessment scores and participation sequencing time from the high-risk assessment tables;
setting a first constraint index as the number of patients participating in the sorting for more than 3 days;
setting a second constraint index as a number of patient urgency scores exceeding 50;
calculating negotiation parameters by using a first calculation formula by using the first constraint index and the second constraint index;
constraining the negotiation parameters by using a second calculation formula;
solving the high-risk assessment ranking sequence when the negotiation parameters take the minimum value by using a third calculation formula;
the first calculation formula is:
S＝(K1-k10)(K2-k20)
wherein S is the negotiation parameter, K1Is the first constraint index, K2Is the second constraint index, k10For the first negotiation parameter limit, k20A second negotiation parameter limit;
the second calculation formula is:
the third calculation formula is:
wherein seq is the high risk assessment sorting order,
as a function of the training minimum.
2. The intelligent network platform for cancer prevention and control as claimed in claim 1, wherein the classifying entry is performed on the account of the institution, and the entered information is stored according to hospital codes, specifically comprising:
completing the input of the information of the institution and the account, and storing the information in the data intelligent analysis subsystem;
establishing the starting time of the organization and the account information and the role of the organization;
setting a mechanism code, wherein the preset position of the mechanism code is a 2-bit code, and the 2-bit code is used for marking a hospital;
account types are set, including regulatory agencies, screening agencies, and recruitment agencies.
3. The intelligent network platform for cancer prevention and control as claimed in claim 1, wherein the performing of recruitment of people to obtain information of all people involved in the recruitment specifically comprises:
recruiting personnel to acquire data of registration personnel;
filling a high-risk assessment form for the announcer;
and sending a biological detection notice to the personnel who fill the high-risk assessment form.
4. The intelligent network platform for cancer prevention and control as claimed in claim 1, wherein the biological detection is performed according to the information of all persons involved in recruitment to obtain the result of recruitment assessment; the acquiring process of the recruitment evaluation result is to acquire a high-risk evaluation table, the emergency degree of patients and the participation sorting time according to all acquired sample information, and generate a high-risk evaluation sorting sequence, which specifically includes:
acquiring a current check-in mode, wherein the check-in mode comprises one-key check-in and recruitment site reservation;
when the check-in mode is detected as a one-key check-in mode, performing check-in appointment of all checks in the same day by taking personnel information as a unit;
when the booking mode of the recruitment point is detected, checking in according to the detection items according to the booking information in the recruitment process;
extracting a biological sample, and performing information input on a biological sample bar code on a frozen tube of the biological sample;
after the screening result issued by the hospital is collected, the screening result is recorded as data to be issued, and the data is automatically issued before the next screening.
5. The intelligent network platform for cancer prevention and control as claimed in claim 1, wherein the sample information is extracted at regular intervals, and the data to be sent is automatically sent and mailed according to the personal information corresponding to the extracted sample, specifically comprising:
for sample information, automatically collecting ID numbers for 1 time at intervals of 15 minutes, and storing the ID numbers as a sample data set;
detecting samples corresponding to all data in the sample data set according to the sequence of the bar code generation time of the samples;
extracting personal information and inspection item information corresponding to the bar code from the memory;
after finishing storing the biological sample information, sending the mobile phone short message of which the information extraction is finished and the result is waited to the corresponding personnel participating in the screening;
when the screening is finished, automatically extracting data to be issued;
extracting personal mailing information according to the data to be sent, and sending a mailing appointment;
and judging whether the mailing is finished or not, and automatically recording the mailing information when the mailing is finished.
6. The intelligent network platform for cancer prevention and control as claimed in claim 1, wherein the periodically collecting monitoring data, sending personnel information and image information to the intelligent data analysis subsystem for display, and storing display information through an external network, specifically comprises:
completing the acquisition of all monitoring data;
acquiring high-risk assessment sequencing and corresponding personnel information;
sending the personnel information and the image information of the top 10 high-risk sequences to a data intelligent analysis subsystem for display;
video storage of display influence is performed through the preposition of an external network;
for the correlated transmission of the personal information, the personal name, age and native information are stored in detail.
7. The intelligent network platform for cancer prevention and control as claimed in claim 1, wherein the data stored in the cancer database further comprises: the detection result of the cancer patient, family information, emergency contact information and contact information, and the current high-risk assessment ranking order.
8. A computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the steps of a cancer prevention and control intelligent network platform as claimed in any one of claims 1 to 7.
9. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the steps of a cancer prevention and control intelligent network platform as claimed in any one of claims 1-7.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017054686A1 (en) * | 2015-09-29 | 2017-04-06 | 上海知先生物科技有限公司 | Product, application and method used for malignant tumour-related screening and assessment |
| CN108461144A (en) * | 2017-12-21 | 2018-08-28 | 深圳大学 | Chinese population low-level radiation suffers from the appraisal procedure and system of cancer risk |
| CN108461148A (en) * | 2018-03-30 | 2018-08-28 | 张淼 | A kind of small routine of screening cancer |
| CN111048201A (en) * | 2019-12-02 | 2020-04-21 | 布谷鸟吉因健康科技(北京)有限公司 | Intelligent cancer risk prediction method and system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111863235A (en) * | 2019-04-30 | 2020-10-30 | 上海悦莲健康管理咨询有限公司 | Cloud platform system for disease screening and whole-course prevention |
| CN113393935A (en) * | 2021-06-30 | 2021-09-14 | 吾征智能技术(北京)有限公司 | Method and system for evaluating early cancer risk based on physical examination data |
-
2021
- 2021-10-08 CN CN202111172239.3A patent/CN113808741B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017054686A1 (en) * | 2015-09-29 | 2017-04-06 | 上海知先生物科技有限公司 | Product, application and method used for malignant tumour-related screening and assessment |
| CN108461144A (en) * | 2017-12-21 | 2018-08-28 | 深圳大学 | Chinese population low-level radiation suffers from the appraisal procedure and system of cancer risk |
| CN108461148A (en) * | 2018-03-30 | 2018-08-28 | 张淼 | A kind of small routine of screening cancer |
| CN111048201A (en) * | 2019-12-02 | 2020-04-21 | 布谷鸟吉因健康科技(北京)有限公司 | Intelligent cancer risk prediction method and system |
Non-Patent Citations (1)
| Title |
|---|
| "云南省昆明市城市居民肺癌筛查结果分析";林艳苹等;《中国肺癌杂志》;20190731;第22卷(第7期);全文 * |
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