CN116564488A

CN116564488A - Method for operating medical data management platform, device and storage medium

Info

Publication number: CN116564488A
Application number: CN202310493809.1A
Authority: CN
Inventors: 张少霆; 王睿; 徐文韬; 王洪杰; 曾剑峰; 黄平
Original assignee: Shanghai Sensetime Intelligent Technology Co Ltd
Current assignee: Shanghai Sensetime Intelligent Technology Co Ltd
Priority date: 2023-04-28
Filing date: 2023-04-28
Publication date: 2023-08-08

Abstract

The application discloses an operation method, a platform, equipment and a storage medium of a medical data management platform, wherein the method comprises the following steps: receiving a login instruction; wherein the login instruction is generated in response to an operation of a user to login to the medical data management platform, the medical data management platform being for managing target data, the target data comprising at least one of: object data of a target object, scientific research data, censoring data of a cooperative object and platform data of a medical management data platform are obtained by detecting the target object, and the cooperative object is a cooperative medical institution; responding to the login instruction, displaying a visual interface of at least one of object data, scientific research data, censorship data and platform data; the visual interface displays or can display the data condition of the corresponding data after being triggered. Through the mode, a user can conveniently know the data condition in the medical data management platform, and visual management of the data condition is realized.

Description

Method for operating medical data management platform, device and storage medium

Technical Field

The present application relates to the field of medical technology, and in particular, to a method, a platform, an apparatus, and a storage medium for operating a medical data management platform.

Background

Along with the development of big data of health care and artificial intelligence technology, accurate medicine becomes a novel medical mode newly developed in recent years, and the realization of accurate medicine based on technologies such as big data, cognitive calculation and the like is an important direction of the development of the big health industry in the future. At present, a user cannot intuitively observe related data conditions in a precise medical center, such as clinical data conditions, examination data conditions of a cooperative object, scientific research data conditions and the like.

Disclosure of Invention

The application provides at least one operation method, platform, device and storage medium of a medical data management platform.

A first aspect of the present application provides a method of operation of a medical data management platform, the method comprising: receiving a login instruction; wherein the medical data management platform is used for managing target data, and the target data comprises at least one of the following: object data of a target object, scientific research data, censoring data of a cooperative object and platform data of a medical data management platform are obtained by detecting the target object, and the cooperative object is a cooperative medical institution; responding to the login instruction, displaying a visual interface of at least one of object data, scientific research data, censorship data and platform data; the visual interface displays or can display the data condition of the corresponding data after being triggered.

Therefore, after the user is detected to log in the medical data management platform, the data condition in the medical data management platform can be displayed, and visual management of the data condition in the medical data management platform is realized.

Wherein, responding to the login instruction, displaying a visual interface of at least one of object data, scientific research data, inspection data and platform data, comprising: responding to a login instruction, displaying a visual interface corresponding to preset data and a visual interface entry button corresponding to other data respectively; the preset data is one of object data, scientific research data, censoring data and platform data, the other data is the data except the preset data in the object data, the scientific research data, censoring data and the platform data, and one other data corresponds to a visual interface entering button.

Therefore, the user can obtain the data condition of at least one of the object data, the scientific research data, the censoring data and the platform data through the login operation of the medical data management platform, manual statistics is not needed, and the statistics efficiency is higher.

The method for displaying the visual interface corresponding to the preset data and the visual interface entry buttons corresponding to other data respectively in response to the login instruction comprises the following steps: responding to a login instruction, and acquiring preset data conditions corresponding to preset data; displaying the condition of preset data corresponding to the preset data and a visual interface entering button corresponding to other data respectively; the data condition of the preset data is the data condition of default data set by a user; or, in response to the login instruction, displaying a main interface of the medical data management platform and a visual interface entry button corresponding to each data respectively; receiving a selection instruction of a user for a visual interface access button, taking data corresponding to the visual interface selected by the user as preset data, and acquiring preset data conditions corresponding to the preset data; displaying the condition of preset data corresponding to the preset data and a visual interface entering button corresponding to other data respectively; the visual interface displays preset data conditions of preset data.

Therefore, the preset data condition of the preset data can be obtained and displayed through the login operation of the user on the medical data management platform, manual statistics is not needed, and the statistical efficiency is higher.

The method for acquiring the preset data condition corresponding to the preset data comprises the following steps: acquiring preset data; based on the preset data, counting to obtain preset data conditions of the preset data.

Therefore, the preset data condition corresponding to the preset data is automatically obtained based on the preset data statistics, manual statistics of a user is not needed, the statistics efficiency is higher, and the manpower consumption is reduced.

Wherein, based on preset data, statistics obtains the preset data condition of preset data, includes: counting the preset data according to a preset counting strategy to obtain preset data conditions of the preset data; or, reading the preset data condition corresponding to the preset data from a preset storage area, wherein the preset data condition obtained by counting the preset data in advance is stored in the preset storage area.

Therefore, there are two ways to obtain the preset data condition; one way is to acquire preset data of the medical data management platform in real time, and obtain preset data conditions based on preset data statistics, namely, generate preset data conditions in real time; in another way, the preset data condition can be obtained by statistics in time after the preset data is acquired by the medical data management platform and stored in the preset storage area of the medical data management platform, so that the preset data condition can be directly extracted from the preset storage area. In the former mode, the preset data condition is generated in real time, only the preset data is needed to be stored, and the preset data condition obtained by statistics based on the preset data is not needed to be stored, so that the storage pressure of a medical data management platform is reduced; in the latter way, when the preset data condition is required to be displayed, the preset data condition can be directly acquired from the preset storage area of the medical data management platform, so that the time for acquiring the preset data condition is reduced, and the operation efficiency of the medical data management platform is improved.

The method for displaying the visual interface corresponding to the preset data and the visual interface entry buttons corresponding to other data respectively comprises the following steps: displaying a visual interface corresponding to the preset data and a visual interface entry button corresponding to other data respectively, and displaying a corresponding first configuration item for the preset data condition of the preset data; after the visual interface corresponding to the preset data and the visual interface entry buttons corresponding to other data are displayed, the operation method of the medical data management platform further comprises the following steps: and responding to the adjustment operation of the user on the first configuration item, and adjusting the data condition selected by the user as a new preset data condition.

Therefore, by adjusting the configuration items of the preset data conditions of the preset data, the data conditions selected by the user are used as new preset data conditions, so that the subsequent user can timely learn the data conditions required to be learned after logging in the medical data management platform.

The target data comprises a plurality of attribute information, the target data condition comprises a plurality of sub-target data conditions, each sub-target data condition is a statistical condition related to one attribute information, and the plurality of sub-target data conditions comprise at least one changeable statistical condition; a visual interface for displaying at least one of clinical object data, scientific research data, censoring data, and platform data, comprising: displaying a plurality of sub-target data conditions and displaying a second configuration item of corresponding attribute information for the changeable statistical conditions; after displaying the visual interface of at least one of the object data, the scientific research data, the examination data and the platform data, the operation method of the medical data management platform further comprises: and adjusting attribute information corresponding to the changeable statistical condition in response to the selection operation of the user on the second configuration item, and re-counting and displaying the changeable statistical condition based on the adjusted attribute information.

Therefore, by providing the configuration items corresponding to the changeable statistics, the user can conveniently adjust the display content according to the requirements.

The target data conditions comprise a plurality of sub-target data conditions, wherein at least one sub-target data condition is displayed in a chart mode, and/or the plurality of sub-target data conditions are displayed in different areas on the same interface.

Therefore, the chart form is adopted for display, so that a user can more intuitively know the condition of the inspection data.

The operation method of the medical data management platform before receiving the login instruction further comprises the following steps: acquiring source data; preprocessing source data to obtain target data; and/or, receiving a login instruction, including: receiving a login instruction sent by a user terminal, wherein the login instruction is generated by the user terminal in response to login operation of a user; in response to the login instruction, displaying a visual interface of at least one of object data, scientific research data, censoring data and platform data, including: and responding to the login instruction, and sending data conditions corresponding to at least one of the object data, the scientific research data, the censoring data and the platform data to the user terminal so that the user terminal displays the data conditions corresponding to the at least one of the object data, the scientific research data, the censoring data and the platform data.

Therefore, the operation method of the medical data management platform can be applied to the server side of the medical data management platform.

A second aspect of the present application provides a medical data management platform, the platform comprising a receiving module and a display module; the receiving module is used for receiving a login instruction; wherein the login instruction is generated in response to an operation of a user to login to the medical data management platform, the medical data management platform being for managing target data, the target data comprising at least one of: object data of a target object, scientific research data, censoring data of a cooperative object and platform data of a medical data management platform are obtained by detecting the target object, and the cooperative object is a cooperative medical institution; the display module is used for responding to the login instruction and displaying a visual interface of at least one of object data, scientific research data, censorship data and platform data; and displaying the data condition of the corresponding data by the visual interface or triggered display.

A third aspect of the present application provides an electronic device, which includes a processor and a memory, where the processor is configured to execute program instructions stored in the memory, to implement the above-mentioned method of operating a medical data management platform.

A fourth aspect of the present application provides a computer readable storage medium storing program instructions that are executed to implement the above-described method of operation of a medical data management platform.

According to the technical scheme, after the user is detected to log in the medical data management platform, the data condition in the medical data management platform can be displayed, and visual management of the data condition in the medical data management platform is achieved.

Drawings

FIG. 1 is a flow chart of one embodiment of a method of operation of the medical data management platform provided herein;

FIG. 2 is a schematic diagram of an embodiment of a scientific research data condition display interface of the medical data management platform provided by the present application;

FIG. 3 is a schematic diagram of one embodiment of a first statistical situation display interface provided herein;

FIG. 4 is a diagram of an embodiment of a sixth statistical status display interface provided herein;

FIG. 5 is a diagram of one embodiment of a second statistical status display interface provided herein;

FIG. 6 is a diagram of one embodiment of a third statistical status display interface provided herein;

FIG. 7 is a diagram of one embodiment of a fourth statistics display interface;

FIG. 8 is a diagram of one embodiment of a fifth statistical status display interface provided herein;

FIG. 9 is a diagram of an eighth exemplary embodiment of a statistics display interface provided herein;

FIG. 10 is a diagram of an embodiment of a seventh statistical status display interface provided herein;

FIG. 11 is a schematic diagram of an embodiment of the regional statistics provided herein;

FIG. 12 is a diagram of one embodiment of a censored quantity data statistics display interface provided herein;

FIG. 13 is a diagram of one embodiment of a statistical status display interface for inspection items provided herein;

FIG. 14 is a diagram of one embodiment of a detection duration data statistics display interface provided herein;

FIG. 15 is a schematic diagram of an embodiment of a seventeenth statistics display interface provided herein;

FIG. 16 is a schematic diagram of an embodiment of a twenty-fifth statistics display interface provided herein;

FIG. 17 is a schematic diagram of one embodiment of a hotspot graph provided herein;

FIG. 18 is a schematic diagram of an embodiment of a hot spot ranking table provided herein;

FIG. 19 is a schematic diagram of an embodiment of a scientific knowledge graph provided herein;

FIG. 20 is a schematic diagram of an embodiment of a twenty-sixth statistical situation display interface provided herein;

FIG. 21 is a schematic diagram of an embodiment of a twenty-seventh statistics display interface provided herein;

FIG. 22 is a schematic diagram of an embodiment of a twenty-eighth statistical condition-thirty-fifth statistical condition provided herein;

FIG. 23 is a schematic diagram of an embodiment of a thirty-sixth statistical scenario provided in the present application;

FIG. 24 is a schematic diagram of an embodiment of a thirty-seventh statistical case provided herein;

FIG. 25 is a schematic diagram of an embodiment of a thirty-eighth statistical case provided herein;

FIG. 26 is a schematic structural diagram of an embodiment of a medical data management platform provided herein;

FIG. 27 is a schematic diagram of an embodiment of an electronic device provided herein;

fig. 28 is a schematic structural diagram of an embodiment of a computer readable storage medium provided in the present application.

Detailed Description

The following describes the embodiments of the present application in detail with reference to the drawings.

In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, interfaces, techniques, etc., in order to provide a thorough understanding of the present application.

The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship. Further, "a plurality" herein means two or more than two. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.

Referring to fig. 1, fig. 1 is a flowchart illustrating an embodiment of a method for operating a medical data management platform according to the present application. It should be noted that, if there are substantially the same results, the embodiment of the present application is not limited to the flow sequence shown in fig. 1. As shown in fig. 1, the present embodiment includes:

step S11: and receiving a login instruction.

Along with the development of big data of health care and artificial intelligence technology, accurate medicine becomes a novel medical mode newly developed in recent years, the trend of personalized diagnosis and treatment is bringing about great innovation by combining global health and medical industry based on the realization of the accurate medicine of big data, cognitive calculation and other technologies, and is an important direction of the development of the big health industry in the future.

The method of the embodiment is used for displaying at least one of the object data situation obtained based on the object data statistics, the scientific research data situation obtained based on the scientific research data statistics, the censoring data situation obtained based on the censoring data statistics and the platform data situation obtained based on the platform data statistics by utilizing the medical data management platform, so as to realize the visual management of at least one of the object data situation, the scientific research data situation, the censoring data situation and the platform data situation, and facilitate the user (such as a medical data management center manager and the like) to intuitively know the related data situation in the medical data management platform. When the censorship data conditions are displayed, a user can intuitively know the censorship data conditions of the cooperative objects in the medical data management platform, and assist the user in knowing business requirements, market requirements and the like of the cooperative objects, so that the user can adjust the operation and management of a laboratory more pertinently; when the object data conditions are displayed, a user (such as a medical data management center manager and the like) can intuitively know the object data conditions in the medical data management platform, and the user can be assisted to know clinical requirements, so that the user can perform clinical business optimization more pertinently; when the situation of the scientific research data is displayed, the management of the user on the scientific research data and the discovery of the scientific research hot spot can be assisted. When the platform data condition is displayed, a user can intuitively know the platform data condition of the medical data management platform.

In the embodiment, a login instruction for a user to login to a medical data management platform is received; wherein the medical data management platform is for displaying target data, the target data comprising at least one of: object data of a target object, scientific research data, censoring data of a cooperative object and platform data of a medical data management platform are obtained by detecting the target object, and the cooperative object is a cooperative medical institution. The target data is data related to the target, such as clinical data of the target, gene data of the target, and the like.

The medical data management platform is a visual platform, can realize operations such as storage and visual management of target data, and can assist a user to more efficiently complete related research work, management work and the like.

Step S12: and responding to the login instruction, and displaying a visual interface of at least one of object data, scientific research data, censoring data and platform data.

In this embodiment, in response to the login instruction, a visual interface of at least one of the object data, the scientific data, the inspection data, and the platform data is displayed; the visual interface displays or can display the data condition of the corresponding data after being triggered. That is, when receiving a login instruction for a user to login to the medical data management platform, a visual interface for displaying at least one of object data, scientific research data, inspection data, and platform data to the user; that is, at least one of an object data case corresponding to the object data, a scientific data case corresponding to the scientific data, a censoring data case corresponding to the censoring data, and a platform data case corresponding to the platform data is displayed to the user; that is, the target data condition corresponding to the target data is displayed to the user, and the target data condition includes at least one of an object data condition, a scientific research data condition, a censoring data condition, and a platform data condition.

In one embodiment, in response to the login instruction, a visual interface of at least two of the object data, the scientific data, the inspection data, and the platform data is displayed. In order to more clearly realize visual management of data conditions, in other embodiments, in response to a login instruction, a visual interface of one of object data, scientific research data, inspection data and platform data and a visual interface entry button corresponding to other data are displayed, on one hand, only one data condition is displayed on the medical data management platform, and on the other hand, an entry button for viewing data conditions of other data is also displayed at the same time.

In one embodiment, in response to a login instruction, a visual interface corresponding to preset data and a visual interface entry button corresponding to other data respectively are displayed; the preset data is one of object data, scientific research data, censoring data and platform data, the other data is the data except the preset data in the object data, the scientific research data, censoring data and the platform data, and one other data corresponds to a visual interface entering button. That is, after the user logs in, the data condition of the preset data and the visual interface entry buttons corresponding to other data are displayed.

When the user sets the default data or the system leaves the factory, the preset data corresponding to the preset data is the default data set by the user or the default data set by the system leaves the factory. And when the user does not set the data condition of the default data and the system leaves the factory, the data condition corresponding to the default data is the data condition corresponding to the data of the visual interface entry button selected by the user.

For example, as shown in fig. 2, fig. 2 is a schematic diagram of an embodiment of a scientific data condition display interface of the medical data management platform provided by the present application, and taking a case that the medical data management platform can display a censored data condition corresponding to censored data, a scientific data condition corresponding to scientific data, an object data condition corresponding to object data, and a platform data condition corresponding to platform data of the medical data management platform, a visual interface entry button corresponding to censored data condition is a "region influence module", a visual interface entry button corresponding to scientific data condition is a "scientific construction module", a visual interface entry button corresponding to object data condition is a "clinical finding module", and a visual interface entry button corresponding to platform data condition is a "data scale module" as an example; receiving a login instruction of a user for logging in a medical data management platform; responding to the login instruction, displaying scientific research data conditions (the platform is directly displayed when logging in by default, namely, the data conditions of the scientific research data are preset data conditions of preset data at the moment) and displaying a visual interface entering button-area affecting module corresponding to the inspection data conditions, a visual interface entering button-clinical hole seeing module corresponding to the object data conditions and a visual interface entering button-data scale module corresponding to the platform data conditions to a user.

In one embodiment, a preset data condition corresponding to preset data is obtained in response to a login instruction; displaying preset data conditions corresponding to the preset data and visual interface entry buttons corresponding to other data respectively, wherein the data conditions of the preset data are data conditions of default data set by a user. That is, after receiving the login instruction, the preset data condition corresponding to the preset data is obtained and displayed, so that after the user logs in the medical data management platform, the preset data condition can be checked and known in time. In addition, the preset data condition of the preset data is the data condition of default data set by the user, and the user sets the preset data condition of the preset data as the data condition of the default data, namely the data condition indicating that the user defaults to see the preset data when logging in the medical data management platform; therefore, the preset data condition of the preset data is set as the data condition of the default data, so that a user can know the data condition which the user wants to know at the first time when logging in the medical data management platform.

The preset data condition of the preset data of the medical data management platform may not be wanted by the user, i.e. the data condition of the default data of the medical data management platform is not in line with the current idea of the user and the data condition which the user wants to know for the first time when logging in the medical data management platform is known for the subsequent user. Therefore, in one embodiment, a visual interface corresponding to the preset data and a visual interface entry button corresponding to other data are displayed, specifically: displaying a visual interface corresponding to the preset data and a visual interface entry button corresponding to other data respectively, and displaying a corresponding first configuration item for the preset data condition of the preset data; at this time, after the visual interface corresponding to the preset data and the visual interface entry buttons corresponding to other data respectively are displayed, the data condition selected by the user is adjusted as a new preset data condition in response to the adjustment operation of the user on the first configuration item. That is, by adjusting the first configuration item corresponding to the preset data condition of the preset data, the data condition selected by the user is taken as the data condition of the default data, so that when the subsequent user logs in the medical data management platform again, the data condition required to be known by the user can be known in time.

In other embodiments, in response to a login instruction, displaying a main interface of the medical data management platform and a visual interface entry button corresponding to each data respectively; receiving a selection instruction of a user for a visual interface access button, taking data corresponding to the visual interface selected by the user as preset data, and acquiring a preset data request corresponding to the preset data; displaying the preset data condition corresponding to the preset data and the visual interface entering button corresponding to other data respectively, wherein the visual interface displays the preset data condition of the preset data. That is, after the login is received, the data condition of any data is not directly displayed, but the data corresponding to the visual interface entry button selected by the user is taken as preset data and the corresponding data condition is displayed after the selection instruction of the visual interface entry button by the user is received. By the mode, the medical data management platform can display related data conditions according to user requirements, and display of the data conditions is not performed blindly, so that resource consumption is reduced, and user experience is improved.

For example, taking the example that the medical data management platform can display the condition of censorship data, the condition of scientific research data, the condition of object data and the condition of platform data, the visual interface entering button corresponding to the condition of censorship data is a region influencing module, the visual interface entering button corresponding to the condition of scientific research data is a scientific research building module, the visual interface entering button corresponding to the condition of object data is a clinical hole module and the visual interface entering button corresponding to the condition of platform data is a data scale module; receiving a login instruction of a user for logging in a medical data management platform; responding to a login instruction, displaying a main interface of a medical data management platform and a visual interface entering button-clinical hole module corresponding to the condition of object data, a visual interface entering button-scientific construction module corresponding to the condition of scientific data, a visual interface entering button-area influence module corresponding to the condition of inspection data and a visual interface entering button-data scale module corresponding to the condition of platform data to a user; receiving a selection instruction of a user for a clinical hole-finding module, namely taking object data corresponding to the clinical hole-finding module as preset data when the user triggers the clinical hole-finding module, acquiring data conditions corresponding to the object data, respectively displaying a visual interface entering button corresponding to the inspection data condition as an area affecting module, and a visual interface entering button corresponding to the scientific data condition as a scientific construction module and a visual interface entering button corresponding to the platform data condition as a data scale module.

In a specific embodiment, a login instruction for a user to login to the medical data management platform is obtained in response to a login operation of the user to the medical data management platform, wherein the login instruction comprises login information; and executing a visual interface for displaying at least one of object data, scientific research data, inspection data and platform data and subsequent steps in response to the login information of the user being consistent with the login information of the user when the user is registered. That is, before the visual interface of at least one of the object data, the scientific research data, the inspection data, and the platform data is displayed in response to the login instruction, the identity of the user is verified, so that the data information in the medical data management platform is prevented from being revealed.

The login information may be account number, password, or biometric information (e.g., voiceprint information, fingerprint information, facial feature information, etc.), which is not specifically limited herein, and may be specifically set according to actual use requirements.

In an embodiment, the acquiring the preset data corresponding to the preset data specifically includes: acquiring preset data, and based on the preset data, counting to obtain preset data conditions of the preset data. In a specific embodiment, based on the preset data, the preset data condition of the preset data is obtained through statistics, which specifically includes: counting the preset data according to a preset counting strategy to obtain preset data conditions of the preset data; or, reading preset data conditions corresponding to the preset data from a preset storage area, wherein the preset data conditions obtained by counting the preset data in advance are stored in the preset storage area. In other words, in the present application, there are two ways to obtain the preset data; one way is to acquire preset data in the medical data management platform in real time, and obtain preset data conditions based on preset data statistics, namely, generate preset data conditions in real time; in another way, the preset data condition can be obtained by statistics in time after the preset data is acquired by the medical data management platform and stored in the preset storage area of the medical data management platform, so that the preset data condition can be directly extracted from the preset storage area. In the former mode, the preset data conditions are generated in real time, only a plurality of preset data are needed to be stored, and the preset data conditions obtained by statistics based on the preset data are not needed to be stored, so that the storage pressure of a medical data management platform is reduced; in the latter way, when the preset data condition is required to be displayed, the preset data condition can be directly acquired from the preset storage area of the medical data management platform, so that the time for acquiring the preset data condition is reduced, and the operation efficiency of the medical data management platform is improved. In addition, statistics on preset data of the medical data management platform is performed without manual statistics of users, so that the statistics efficiency is higher, and the manpower consumption is reduced.

In a specific embodiment, the above mentioned preset data and other data are directly fetched from the related system or manually uploaded by the user, so that the data directly fetched from the related system or manually uploaded by the user are directly used for the subsequent data generation, which may result in inaccurate data generation. Therefore, in one embodiment, before the relevant data in the medical data management platform is acquired and the data is obtained based on the statistics of the relevant data, or before the data is read from the preset storage area, the data directly called from the relevant system or manually uploaded by the user is taken as the source data, and then the source data is preprocessed (for example, format conversion, data cleaning, etc.).

In one embodiment, the preset data is object data, and the object data includes at least one of the following: clinical data of the target subject, biological data of the target subject; the biological data is obtained by detecting a sample of the target object. At this time, the preset data instance of the preset data, i.e., the object data instance, includes at least one of: clinical data conditions based on clinical data statistics, biological data conditions based on biological data statistics. Of course, in other embodiments, the object data may further include other data, and the object data case may further include other data cases, which are not specifically limited herein, and may be specifically set according to actual use needs. The biological data may be genetic data, and is not particularly limited herein.

In a specific embodiment, the subject data includes clinical data of the target subject and biological data of the target subject. At this time, the subject data cases include clinical data cases based on clinical data statistics and biological data cases based on biological data statistics. That is, the clinical data of the target object and the biological data of the target object are respectively counted, so that corresponding data statistics conditions are obtained, that is, the data statistics conditions in each dimension can be respectively displayed by counting the object data in two dimensions. By displaying the object data conditions under each dimension, a user can more fully know the object data conditions of the medical data management platform, so that the clinical requirements can be more accurately determined later, and the clinical business optimization is realized.

In one embodiment, the clinical data of the target subject includes disease information of the target subject, the disease information including disease type, disease detection item, and disease medication; the clinical data conditions include a first statistical condition regarding disease type, disease detection program, and disease medication. Wherein the disease type comprises any disease such as lung cancer, liver cancer, breast cancer, colorectal cancer and the like; the disease detection items comprise any detection items such as a large panel, a small panel, WGS, WES and the like; the medical insurance medicine comprises any medicine such as medical insurance medicine, non-medical insurance medicine and the like. In a specific embodiment, as shown in fig. 3, fig. 3 is a schematic diagram of an example of a display interface for a first statistical situation provided in the present application, where the first statistical situation is represented by a lane diagram, and the lane diagram sequentially flows from a disease type, a disease detection item, to a disease administration, and is used to represent a detection treatment flow direction of a target object. The flow direction from the disease to the detection method to the medicine of the target object is displayed through the lane diagram, so that the detection treatment flow direction of the target object can be more intuitively known. In other embodiments, the first statistical condition may be represented by a line graph, a pie chart, or other forms, which are not limited herein, and may be specifically set according to actual use needs.

In a specific embodiment, the clinical data of the target subject further comprises at least one of basic information and disease information of the target subject. Of course, in other embodiments, the clinical data of the target subject may also include other information, which is not specifically limited herein. In one embodiment, the clinical data of the target subject includes basic information and disease information of the target subject; the basic information of the target object comprises at least one attribute information of gender and current age; the disease information of the target subject includes at least one attribute information of disease age, survival condition, recurrence condition, and disease detection item. It should be noted that, when the target object is already away, the current age of the target object may be the age when the target object is away; the age of a disease is understood to be the age at which a certain disease type is determined.

In a specific embodiment, the biological data comprises genetic data and the biological data instance comprises a data-based instance statistically derived based on the genetic data. Of course, in other embodiments, the biological data may also include a gene testing file that includes gene testing results from gene testing of the sample. In a specific embodiment, the genetic information includes at least one of a mutated gene detected in the sample, a high frequency mutated gene, and a property information of the mutated gene. Wherein, the mutant gene refers to a mutated gene, and the mutation type of the gene generally comprises deletion mutation, frame shift mutation, insertion mutation and the like; high frequency mutant genes refer to mutant genes that have a higher frequency of mutation in a subject suffering from a disease type, e.g., the first N mutant genes that have the highest frequency of mutation.

In a specific embodiment, the clinical data condition comprises at least one of: a second statistic about the age of the illness, a third statistic about survival, a fourth statistic about recurrence, a fifth statistic about gender, a sixth statistic about test item. Clinical data conditions are displayed from multiple dimensions, and data statistics conditions in each dimension can be displayed respectively. Through the clinical data conditions in each dimension, the user can more fully know the clinical data conditions of the accurate medical data platform, the follow-up more accurate determination of clinical requirements is facilitated, and the clinical business optimization is realized.

In a specific embodiment, the second statistics about the disease ages may be that the disease ages of all the target subjects are counted to obtain an overall second statistics; the disease age of a target object of a certain disease type can be counted to obtain a second counting condition of the disease type about the disease age; the disease ages of the target subjects with different disease types can be counted to obtain second statistics of the disease types about the disease ages. The third statistical condition about the survival condition may be that the survival conditions of all the target objects are counted to obtain an overall third statistical condition; the survival condition of a target object of a certain disease type can be counted to obtain a third statistical condition of the disease type about the survival condition; the survival condition of the target object with different disease types can be counted to obtain a third statistical condition of the different disease types about the survival condition. The fourth statistical condition about the recurrence condition may be that the recurrence conditions of all the target subjects are counted to obtain an overall fourth statistical condition; counting the recurrence condition of a target object of a certain disease type to obtain a fourth statistical condition of the disease type about the recurrence condition; and counting the recurrence situations of the target subjects with different disease types to obtain a fourth statistical situation of the recurrence situations of the different disease types. The fifth statistical condition about gender may be that the gender of all the target objects is counted to obtain an overall fifth statistical condition; the gender of a target object of a certain disease type can be counted to obtain a fifth statistical condition of the disease type about the gender; the gender of the target objects with different disease types can be counted to obtain a fifth statistical condition of the different disease types about the gender. The sixth statistical condition of the detection items may be that all detection items of the target object are counted to obtain an overall sixth statistical condition; the detection items of the target object of a certain disease type can be counted to obtain a sixth statistical condition of the disease type about the detection items; and counting the detection items of the target objects with different disease types to obtain a sixth statistical condition of the different disease types about the detection items.

In a specific embodiment, as shown in fig. 4 and fig. 5, fig. 4 is a schematic diagram of an example of a sixth statistical condition display interface provided in the present application, and fig. 5 is a schematic diagram of an example of a second statistical condition display interface provided in the present application, where the second statistical condition about the disease age and the sixth statistical condition about the detected item may be displayed in a bar chart form; fig. 6-8 show that fig. 6 is a schematic diagram of an embodiment of a third statistical condition display interface provided in the present application, fig. 7 is a schematic diagram of an embodiment of a fourth statistical condition display interface, and fig. 8 is a schematic diagram of an embodiment of a fifth statistical condition display interface provided in the present application, and the third statistical condition about survival, the fourth statistical condition about recurrence, and the fifth statistical condition about gender may be displayed in a pie-shaped graphic. Of course, in other embodiments, the second statistical condition about the diseased age and the sixth statistical condition about the test item may be displayed in other forms such as a pie chart, a line chart, etc., and the third statistical condition about the survival condition, the fourth statistical condition about the recurrence condition, and the fifth statistical condition about the sex may be displayed in other forms such as a bar chart, a line chart, etc., which are not particularly limited herein.

In one embodiment, the genetic data case includes at least one of: seventh statistics on mutated genes, eighth statistics on high frequency mutated genes. The gene data condition is displayed from a plurality of dimensions, and the data statistics condition under each dimension can be displayed respectively. Through the gene data conditions under each dimension, a user can more fully know the gene data conditions of the medical data management platform, so that the clinical requirements can be more accurately determined later, and the clinical business optimization is realized.

In a specific embodiment, as shown in fig. 9, fig. 9 is a schematic diagram of an example of an eighth statistical condition display interface provided in the present application, where the eighth statistical condition about the high-frequency mutant gene may be displayed in a histogram form, and of course, may also be displayed in other forms such as a pie chart, a line chart, and the like; as shown in fig. 10, fig. 10 is a schematic diagram of an embodiment of a seventh statistical condition display interface provided in the present application, where the seventh statistical condition of the mutant gene may be displayed in a pie-shaped graphic form, and of course, may also be displayed in other forms such as a line graph and a bar graph.

In one embodiment, the preset data is inspection data, and the inspection data includes at least one of the following: the detection duration data of the cooperative object, the inspection project data related to the cooperative object, the inspection quantity data of the cooperative object and the region where the cooperative object is located. At this time, the preset data condition, i.e. the sending data condition, of the preset data includes at least one of the following: the method comprises the steps of carrying out regional statistics based on regions where cooperative objects are located, carrying out inspection quantity data statistics based on inspection quantity data, carrying out inspection project data statistics based on inspection project data, and carrying out detection duration data statistics based on detection duration data. Of course, in other embodiments, the censoring data may further include other data, and the censoring data may further include other data, which is not specifically limited herein, and may be specifically set according to actual use needs.

In a specific embodiment, the censoring data includes detecting duration data of the cooperative object, censoring project data related to the cooperative object, censoring quantity data of the cooperative object and a region where the cooperative object is located. At this time, the condition of the inspection data includes a regional statistical condition that is counted based on the region where the cooperation object is located, an inspection quantity data statistical condition that is counted based on the inspection quantity data, an inspection item data statistical condition that is counted based on the inspection item data, and a detection duration data statistical condition that is counted based on the detection duration data. That is, statistics is performed on the detection duration data of the cooperative object, the inspection project data related to the cooperative object, the inspection quantity data of the cooperative object and the region where the cooperative object is located, so as to obtain a corresponding data statistics condition; by respectively counting the inspection data, the data statistics conditions corresponding to the inspection data can be displayed respectively, and a user can conveniently and intuitively know the data statistics conditions of the inspection data.

The user can more intuitively know the business requirement situation, the market requirement situation and the like of the cooperative object through the regional statistics situation of statistics based on the region where the cooperative object is located and the censored quantity data statistics situation of statistics based on censored quantity data, and can more accurately know the requirement of the market quantity. The user can know the detection items with the largest and smallest detection amounts of the cooperative objects through the statistics condition of the inspection item data based on the inspection item data, so that the user can more pertinently adjust the operation and management of the laboratory (for example, reagent consumables are more reasonably scheduled, personnel are more accurately arranged, and the like). The user can assist in analyzing the problems in the whole detection process from sample adoption and sample transportation to detection operation through the detection duration data statistics condition based on the detection duration data, so that the follow-up user can manage and optimize the flow conveniently.

In one embodiment, the collaborative object censored quantity data further includes at least one of: the number of the current annual censorship of the cooperative objects and the preset annual censorship number of the cooperative objects; wherein the preset year is any year before the current year. The inspection item data includes at least one of: the method comprises the steps of detecting the items of various types, the cooperative object with the largest accumulated sending number of the detecting items of various types, the accumulated sending number corresponding to the cooperative object with the largest accumulated sending number of the detecting items of various types, and the accumulated sending number of the detecting items of various types. The detection duration data of the cooperative object includes at least one of: detecting days of each month in the current year, and presetting detecting days of each month in the year; wherein the preset year is any year before the current year. Further, in one embodiment, the censored quantity data statistics include at least one of: a ninth statistical condition regarding the number of censorship of the current year of the partner, a tenth statistical condition regarding the number of censorship of the preset year of the partner; the inspection item data statistics include at least one of: an eleventh statistical condition regarding the detection items of the respective types, a twelfth statistical condition regarding the cooperative object whose cumulative number of the detection items of the respective types is largest, a thirteenth statistical condition regarding the cumulative number of the detection items of the respective types corresponding to the cooperative object whose cumulative number of the detection items of the respective types is largest, a fourteenth statistical condition regarding the cumulative number of the detection items of the respective types; detecting duration data statistics includes at least one of: fifteenth statistics on the number of days of detection for each month of the current year, sixteenth statistics on the number of days of detection for each month of the preset year.

In a specific embodiment, the censoring number data of the cooperative object includes the censoring number of the cooperative object in the current year and the censoring number of the cooperative object in a preset year; the sending inspection item data comprises various types of detection items, the accumulated sending inspection quantity corresponding to the cooperative object with the largest accumulated sending inspection quantity of the various types of detection items, and the cooperative object with the largest accumulated sending inspection quantity of the various types of detection items; the detection duration data of the cooperative objects comprise detection days of each month in the current year and detection days of each month in the preset year. At this time, the censoring quantity data statistics include a ninth statistics on the censoring quantity of the cooperative object in the current year and a tenth statistics on the censoring quantity of the cooperative object in the preset year; the inspection item data statistics include eleventh statistics about the types of inspection items, twelfth statistics about the cooperative objects having the largest accumulated number of inspection items of the types of inspection items, and thirteenth statistics about the accumulated number of inspection items corresponding to the cooperative objects having the largest accumulated number of inspection items of the types of inspection items; the detection duration data statistics include a fifteenth statistics on the detection days of each month of the current year and a sixteenth statistics on the detection days of each month of the preset year.

The user can more intuitively know the business requirements, the market requirements and the like of the cooperative objects and can more accurately know the market quantity requirements through regional statistics conditions based on statistics of the region where the cooperative objects are located and censorship quantity data statistics conditions based on censorship quantity data; in addition, the user can more intuitively know the business requirement change conditions of the present year and the past year through the ninth statistical condition of the current year of the cooperative object and the tenth statistical condition of the preset year of the cooperative object, so that the user can more accurately infer the business requirement condition, the market requirement condition and the like of the cooperative object in the future. The user can understand the detection items of which the cooperative object delivery amount is the largest, the smallest, etc. by the eleventh statistical condition regarding the detection items of the respective types, the twelfth statistical condition regarding the cooperative object of which the cumulative delivery amount is the largest among the detection items of the respective types, and the thirteenth statistical condition regarding the cumulative delivery amount corresponding to the cooperative object of which the cumulative delivery amount is the largest among the detection items of the respective types, so that the user can more pertinently adjust the operation and management of the laboratory (e.g., reagent consumables are more reasonably scheduled, personnel are more accurately arranged, etc.). The fifteenth statistical condition of the detection days of each month in the current year and the sixteenth statistical condition of the detection days of each month in the preset year can be used for comprehensively analyzing the problems in the whole detection process from sample adoption and sample transportation to detection operation by combining the data of the current year and the past year, so that the follow-up user can manage and optimize the process conveniently.

In a specific embodiment, as shown in fig. 11, fig. 11 is a schematic diagram of an example of an area statistics situation provided in the present application, where the area statistics situation is represented in a map form, and the area statistics situation of each cooperative object is a position of each cooperative object on the map relative to the home; the regional statistics condition of each cooperative object is displayed in the form of a map, so that the position region of the cooperative object can be known/learned more intuitively. Specifically, as shown in fig. 11, the "six hospital" in the figure is the home (precision medical center), and the location points in the connection relationship with the "six hospital" in fig. 11 are the cooperative objects of the radiation of the precision medical center. The regional statistics may be a map of province/city where the home is located, or the regional statistics may be a map of china, etc., which is not particularly limited herein. In other embodiments, the area statistics may be displayed in other forms, such as a table, which is not specifically limited herein.

In a specific embodiment, the statistical condition of the inspection quantity data is represented by a bar graph, the abscissa of the bar graph is the name of the cooperative object, and the ordinate of the bar graph is the inspection quantity. In a specific embodiment, as shown in fig. 12, fig. 12 is a schematic diagram of an example of a report statistics display interface provided in the present application, where the histogram includes a first histogram for showing a ninth statistics of the report statistics of the current year (i.e., 2020 in fig. 11) of the cooperative object, and a second histogram for showing a tenth statistics of the report statistics of the current year (i.e., 2019 in fig. 11) of the cooperative object. In other embodiments, the statistics of the inspection amount data may be represented by other forms such as a table, a line graph, or a pie chart, which are not particularly limited herein.

In a specific embodiment, as shown in fig. 13, fig. 13 is a schematic diagram of an example of a display interface for the statistics of the inspection items provided in the present application, where the statistics of the inspection items are represented in a table form, and the table includes three columns, namely, an eleventh statistics about each type of inspection item (such as the inspection item column in fig. 13), a twelfth statistics about the cooperative object with the largest cumulative number of inspection items for each type of inspection item (such as the cooperative hospital column with the largest cumulative number of inspection items for fig. 13), and a thirteenth statistics about the cumulative number of inspection items corresponding to the cooperative object with the largest cumulative number of inspection items for each type of inspection item (such as the cumulative number of inspection column in fig. 13).

For example, as shown in fig. 13, the eleventh statistical situation regarding each type of detection item, i.e., the statistical situation of the detection item of the number of delivery tests of the cooperation hospital TOP10, is obtained by counting the detection items of each type, the cooperation hospital with the largest number of delivery tests of each type of detection item, and the cooperation hospital with the largest number of delivery tests of each type of detection item, specifically, "lung cancer 11 gene", "colorectal cancer 13 gene", "cancer 605 gene", "breast cancer 48 gene", "ctDNA329 gene", "thyroid cancer 18 gene", "ctDNA medication for lung cancer", "blood tumor 446 gene", "gastric cancer 50 gene" and "gynecological tumor 50 gene", respectively. Counting to obtain a twelfth counting condition of a cooperation hospital with the largest accumulated sending quantity of the detection items of each type, namely counting the counting condition of cooperation medicine with the largest sending quantity of the detection items of the TOP10 sending quantity of the cooperation hospital; specifically, the "maximum lung cancer 11 gene" delivery rate hospital is the "center of control", the "maximum colorectal cancer 13 gene" delivery rate hospital is the "center of control", the "maximum pan cancer 605 gene" delivery rate hospital is the "research institute", the "maximum breast cancer 48 gene" delivery rate hospital is the "two hospitals", the "maximum ctDNA329 gene" delivery rate hospital is the "seven hospitals", the "maximum thyroid cancer 18 gene" delivery rate hospital is the "five hospitals", the "maximum lung cancer ctDNA" delivery rate hospital is the "first hospital", the "maximum blood tumor 446 gene" delivery rate hospital is the "research institute", the "maximum stomach cancer 50 gene" delivery rate hospital is the "seven hospitals", and the "maximum gynecological tumor 50 gene" delivery rate hospital is the "two hospitals". Statistics of the number of accumulated delivery tests corresponding to the cooperative hospitals with the largest accumulated delivery test amounts of the various types of detection projects are obtained, specifically, the accumulated delivery test amount of "lung cancer 11 gene" maximum delivery test amount hospital "x control center" is 145, "colorectal cancer 13 gene" maximum delivery test amount hospital "x control center" is 73, "pan cancer 605 gene" maximum delivery test amount hospital "x research institute" is 72, "breast cancer 48 gene" maximum delivery test amount "x two hospitals" is 67, "ctDNA329 gene" maximum delivery test amount "is 62," thyroid cancer 18 gene "maximum delivery test amount" x five hospitals "is 57," lung cancer ctDNA drug "maximum delivery test amount" first hospital "is 51," blood tumor gene "maximum delivery test amount" maximum hospital "is 37," and "maximum delivery test" 50 "is 50.

In other embodiments, the statistical condition of the inspection project data may be represented by a bar graph, a line graph, a pie chart, or other forms, which are not particularly limited herein.

In a specific embodiment, the statistical condition of the detection duration data is represented by a line graph, wherein the abscissa of each point on the line graph is year-month, and the ordinate is the detection days; the distribution curve of the average detection duration of the cooperative objects on the time axis can be shown through a line graph. Specifically, as shown in fig. 14, fig. 14 is a schematic diagram of an embodiment of a display interface for statistics of detection duration data provided in the present application, the line diagram shown in fig. 14 is composed of a fifteenth statistics of detection days for each month of the current year (2021 in fig. 14) and a sixteenth statistics of detection days for each month of a preset year (2020 in fig. 14), that is, a fifteenth statistics of detection days for each month of 2021 and a sixteenth statistics of detection days for each month of 2020 are shown on the line diagram, and the line diagram corresponding to the fifteenth statistics is connected to the line diagram corresponding to the sixteenth statistics, so that it is possible to understand the change of detection duration from the last year to the present year.

In one embodiment, the preset data is scientific research data, and the scientific research data includes at least one of the following: scientific research quantitative data and scientific research mining data. At this time, the preset data conditions of the preset data, i.e. the scientific research data conditions, include at least one of the following: scientific research quantitative data situation obtained based on scientific research quantitative data statistics and scientific research mining data situation obtained based on scientific research mining data statistics. Of course, in other embodiments, the scientific research data may further include other data, and the scientific research data may further include other data, which is not specifically limited herein, and may be specifically set according to actual use needs.

In one embodiment, the scientific data includes scientific quantitative data and scientific mining data. At this time, the scientific research data conditions include a scientific research quantitative data condition obtained based on scientific research quantitative data statistics and a scientific research mining data condition obtained based on scientific research mining data statistics. That is, statistics is performed on the scientific research quantized data and the scientific research mining data respectively, so as to obtain corresponding data statistics conditions, that is, statistics is performed on the scientific research data through two dimensions, so that the data statistics conditions in each dimension can be displayed respectively. By displaying the scientific research data conditions in each dimension, a user can more fully know the scientific research data conditions in the medical data management platform, and management of the scientific research data and discovery of scientific research hotspots are facilitated.

In one embodiment, the scientific mining data includes at least one of: a subject of each department in a scientific research hot spot; the scientific research quantitative data comprises at least one of the following: the number of local topics, the number of queues, the number of users, the number of published papers, the influence factors of the published papers and the applied scientific research projects. In one embodiment, the scientific quantitative data case includes at least one of the following: seventeenth statistics about the number of local topics, eighteenth statistics about the number of queues, nineteenth statistics about the number of users, twentieth statistics about the number of published papers, twenty first statistics about applied scientific projects, twenty second statistics about influence factors of published papers, twenty third statistics about published papers.

In a specific embodiment, as shown in fig. 15, fig. 15 is a schematic diagram of an embodiment of a seventeenth statistics display interface provided in the present application, where seventeenth statistics about the number of local topics, eighteenth statistics about the number of queues, nineteenth statistics about the number of users, twentieth statistics about the number of published papers, and twenty first statistics about the applied scientific projects are displayed in a list form. Of course, in other embodiments, the seventeenth statistical situation regarding the number of local topics, the eighteenth statistical situation regarding the number of queues, the nineteenth statistical situation regarding the number of users, the twentieth statistical situation regarding the number of published papers, and the twenty first statistical situation regarding the applied scientific research project may be displayed in other forms, such as a bar graph, a pie graph, etc., which are not limited in particular, and may be set specifically according to actual use needs.

In one embodiment, the scientific mining data case includes at least one of: a twenty-fourth statistical situation regarding a hot spot of a scientific research, and a twenty-fifth statistical situation regarding a topic of each department (as shown in fig. 16, fig. 16 is a schematic diagram of an embodiment of a twenty-fifth statistical situation display interface provided in the present application). In a specific embodiment, as shown in fig. 17, fig. 17 is a schematic diagram of an embodiment of a heat point diagram provided in the present application, and the twenty-fourth statistical case related to the scientific heat point includes a scientific heat point diagram obtained based on the scientific heat point statistics. The scientific research hot spot diagram comprises a plurality of geometric figures with the same shape, one geometric figure corresponds to one scientific research hot spot, the colors of the geometric figures corresponding to the scientific research hot spots of the same type are the same, and the sizes of the geometric figures are in direct proportion to the heat ranking of the corresponding scientific research hot spots.

For example, as shown in fig. 17, the scientific research hotspot graph includes a plurality of circles, one circle corresponding to each scientific research hotspot; the scientific research hot spot-survival rate, the scientific research hot spot-NGS, the scientific research hot spot-TMB and the scientific research hot spot-brain transfer belong to the same type of scientific research hot spot, so that the round shapes corresponding to the scientific research hot spots have the same color; however, the heat degree of the survival rate of the scientific research hot spot is higher than that of the scientific research hot spot-NGS, the scientific research hot spot-TMB and the scientific research hot spot-brain transfer, so that the circle corresponding to the scientific research hot spot-survival rate is larger than that of the scientific research hot spot-NGS, the scientific research hot spot-TMB and the scientific research hot spot-brain transfer.

In one embodiment, the twenty-fifth statistical condition about the scientific research hotspot further comprises at least one of the following: a scientific research hotspot ranking table obtained based on scientific research hotspot statistics (as shown in fig. 18, fig. 18 is a schematic diagram of an embodiment of the scientific research hotspot ranking table provided in the present application), and a scientific research knowledge graph obtained based on scientific research hotspot statistics (as shown in fig. 19, fig. 19 is a schematic diagram of an embodiment of the scientific research knowledge graph provided in the present application).

The preset data are platform data, the platform data comprise object data of a target object, scientific research data and censorship data of a cooperative object, and the preset data condition of the preset data, namely the platform data condition, is obtained by overall analysis of the object data, the scientific research data and the cooperative object data. In a specific embodiment, the subject data comprises clinical data and the platform data condition comprises a clinical data condition based on clinical data statistics. The clinical data is counted to obtain the clinical data condition, and the visual management of the clinical data condition is realized, so that on one hand, a user can intuitively know the clinical data condition in the medical data management platform, and the user can be assisted to know the clinical requirement, so that the user can perform clinical business optimization more pertinently; on the other hand, the statistics of clinical data does not need manual statistics of users, the statistics efficiency is high, and the manpower consumption is reduced. In other embodiments, the object data may further include genetic data, where the platform data may further include genetic data obtained based on genetic data statistics, which is not specifically limited herein, and may be specifically set according to actual use needs.

In a specific embodiment, the clinical data includes at least one of: at least one attribute information of patient number, disease type; at this point, the clinical data condition includes at least one of: twenty-sixth statistics on patient number, twenty-seventh statistics on disease type. The statistics of the number of patients and the disease types can be carried out to obtain clinical data conditions in two dimensions, and the user can more fully know the clinical data conditions of the medical data management platform by displaying the clinical data conditions in each dimension, so that the follow-up more accurate determination of clinical requirements is facilitated, and the clinical business optimization is realized. The disease type includes any disease such as lung cancer, liver cancer, breast cancer, colorectal cancer, etc.

In a specific embodiment, as shown in fig. 20, fig. 20 is a schematic diagram of an example of a twenty-sixth statistics display interface provided in the present application, in which twenty-sixth statistics concerning the number of patients are shown in the form of a bar chart and a line chart; the distribution of the number of patients on the time axis is shown by a bar graph and the trend of increase is shown by a line graph. In a specific embodiment, as shown in fig. 21, fig. 21 is a schematic diagram of an example of a twenty-seventh statistics display interface provided in the present application, in which twenty-seventh statistics related to disease types are shown in the form of a bar chart; the disease types of the number of TOP10 patients were counted and displayed in the form of a bar graph.

In other embodiments, the clinical data may further include a disease detection item, a patient diagnosis age, a disease medication, etc., and in this case, the clinical data may further include a data case related to the disease detection item, a data case related to the patient diagnosis age, a data case related to the disease medication, etc., which are not particularly limited herein, and may be specifically set according to actual use needs.

In a specific implementation, as illustrated in fig. 22, fig. 22 is a schematic diagram of an example of twenty-eighth statistics-thirty-fifth statistics provided in the present application, the platform data further includes platform overview data, and the platform overview data includes at least one of: the method comprises the steps of at least one attribute information of the number of patients, the number of files, the storage size, the number of integrated public databases, the number of disease recording, the number of mutation point information recording, the number of signal recording passages, the number of tumor medicine recording, the type of targeted medicine recording, the type of integrated public databases and the type of data. The platform data instance includes an overview data instance based on platform overview data statistics, the overview data instance including at least one of: twenty-eighth statistics regarding the number of patients, twenty-ninth statistics regarding the number of files, thirty-first statistics regarding the number of integrated public databases, thirty-second statistics regarding the number of recorded diseases, thirty-third statistics regarding the number of recorded mutation points information, thirty-fourth statistics regarding the number of recorded signal pathways, thirty-fifth statistics regarding the number of recorded tumor drugs, thirty-sixth statistics regarding the type of recorded targeted drugs, thirty-seventh statistics regarding the type of integrated public databases, thirty-eighth statistics regarding the type of data.

On the one hand, the data of the medical data management platform are subjected to overview, including the number of patients, the number of files, the storage size, the number of integrated public databases, the number of recorded diseases, the information amount of recorded mutation points and the number of recorded tumor drugs of the medical data management platform, so that the data of the medical data management platform are subjected to large-scale statistics and display. On the other hand, the types of the recorded targeted drugs, the types of the integrated public database and the types of the data are counted and displayed.

In a specific embodiment, as shown in fig. 23, fig. 23 is a schematic diagram of an example of a thirty-sixth statistical situation provided in the present application, and the thirty-sixth statistical situation about the type of targeted drug being recorded is shown in the form of a pie chart. In a specific embodiment, as shown in fig. 24, fig. 24 is a schematic diagram of an example of a thirty-seventh statistical situation provided in the present application, and the thirty-seventh statistical situation related to the type of the integrated public database is shown in the form of a pie chart. In a specific embodiment, as shown in fig. 25, fig. 25 is a schematic diagram of an example of the thirty-eighth statistic provided in the present application, and the thirty-eighth statistic about data types is shown in the form of a pie chart.

In one embodiment, the target data instance includes a number of sub-target data instances, at least one of which is displayed in a graphical form. That is, the target data condition can be displayed in a chart form, and the user can more intuitively know the target data condition by displaying in the chart form. For example, take the example where the target data case includes the sub-target data cases shown in FIGS. 3-10; the sub-target data cases shown in fig. 3-10 are all displayed in graphical form.

Of course, in other embodiments, the at least one sub-target data may be displayed in other forms, such as text, and is not limited herein.

In one embodiment, the target data case includes a plurality of sub-target data cases, and the plurality of sub-target data cases are displayed in different areas on the same interface. For example, as shown in fig. 3-10, the target data case includes the sub-target data cases shown in fig. 3-10; the sub-target data cases shown in fig. 3-10 are displayed in different areas on the same interface.

In one embodiment, the target data includes a plurality of attribute information, the target data case includes a plurality of sub-target data cases, each sub-target data case is a statistical case related to one attribute information, and the plurality of sub-target data cases includes at least one changeable statistical case; the changeable statistics may be understood as statistics in which attribute information may be adjusted. At this time, in response to the login instruction, a visual interface of at least one of the object data, the scientific research data, the censoring data, and the platform data is displayed, specifically: and displaying a plurality of sub-target data conditions, and displaying a second configuration item of corresponding attribute information for the changeable statistical condition. That is, the user may adjust the displayed changeable statistics via the second configuration item. For example, the second configuration item may be used for a user to change the disease type, and the user selects that the disease type is breast cancer, and the changeable statistics condition is statistics condition corresponding to the breast cancer.

After the visual interface of at least one of the clinical object data, the scientific research data, the censorship data and the platform data is displayed, the attribute information corresponding to the changeable statistical condition is adjusted in response to the selection operation of the second configuration item of the attribute information by the user, and the changeable statistical condition is reckoned and displayed based on the adjusted attribute information. The attribute information corresponding to the changeable statistic condition may be a disease type, and the like, and is not particularly limited herein. The second configuration item of the attribute information may be a drop-down button for the user to adjust the attribute information, the user clicks the drop-down button to display the attribute information available for the user to select, and after the user selects any attribute information, the statistics is reclassified based on the attribute information selected by the user and the changeable statistics is displayed.

For example, as shown in fig. 6, taking attribute information as a disease type, sub-target data cases included in target data cases-statistical cases regarding survival cases as changeable statistical cases as an example: displaying a number of sub-target data cases including statistics about survival, wherein the statistics about survival are statistics of breast cancer about survival, and displaying a second configuration item corresponding to a disease type for the statistics about survival; and in response to the selection operation of the liver cancer in the disease types by the user, adjusting the disease type corresponding to the statistical condition about the survival situation, and re-counting and displaying the statistical condition about the survival situation based on the liver cancer.

For example, as shown in fig. 4, taking attribute information as a statistics time, sub-target data cases included in target data cases-a statistics case about a detected item as a changeable statistics case as an example: displaying a plurality of sub-target data cases including statistics about the detected items and displaying a second configuration item for a corresponding period of time for the statistics about the detected items, wherein the statistics about the detected items are statistics about the detected items of the present month; in response to a user's selection operation of the last 3 months of the time periods, the time period corresponding to the statistics about the detected items is adjusted, and the statistics about the detected items are re-counted and displayed based on the last 3 months.

In one embodiment, receiving a login instruction includes: the login instruction sent by the user terminal is received, specifically: receiving a login instruction sent by a user terminal, wherein the login instruction is generated by the user terminal in response to login operation of a user; responding to the login instruction, displaying a visual interface of at least one of object data, scientific research data, censorship data and platform data, wherein the visual interface specifically comprises the following steps: and responding to the login instruction, and sending data conditions corresponding to at least one of the object data, the scientific research data, the censoring data and the platform data to the user terminal so that the user terminal displays the data conditions corresponding to the at least one of the object data, the scientific research data, the censoring data and the platform data.

Referring to fig. 26, fig. 26 is a schematic structural diagram of an embodiment of a medical data management platform provided in the present application. The medical data management platform 260 includes a receiving module 261 and a display module 262. The receiving module 261 is configured to receive a login instruction; wherein the login instruction is generated in response to an operation of a user to login to the medical data management platform, the medical data management platform being for managing target data, the target data comprising at least one of: object data of a target object, scientific research data, censoring data of a cooperative object and platform data of a medical data management platform are obtained by detecting the target object, and the cooperative object is a cooperative medical institution; the display module 262 is configured to display a visual interface of at least one of object data, scientific research data, inspection data, and platform data in response to the login instruction; and displaying the data condition of the corresponding data by the visual interface or triggered display.

The display module 262 is configured to display a visual interface of at least one of object data, scientific research data, inspection data, and platform data in response to the login instruction, and specifically includes: responding to a login instruction, displaying a visual interface corresponding to preset data and a visual interface entry button corresponding to other data respectively; the preset data is one of object data, scientific research data, censoring data and platform data, the other data is the data except the preset data in the object data, the scientific research data, censoring data and the platform data, and one other data corresponds to a visual interface entering button.

The display module 262 is configured to display a visual interface corresponding to preset data and a visual interface entry button corresponding to other data respectively in response to a login instruction, and specifically includes: responding to a login instruction, and acquiring preset data conditions corresponding to preset data; displaying the condition of preset data corresponding to the preset data and a visual interface entering button corresponding to other data respectively; the data condition of the preset data is the data condition of default data set by a user; or, in response to the login instruction, displaying a main interface of the medical data management platform and a visual interface entry button corresponding to each data respectively; receiving a selection instruction of a user for a visual interface access button, taking data corresponding to the visual interface selected by the user as preset data, and acquiring preset data conditions corresponding to the preset data; displaying the condition of preset data corresponding to the preset data and a visual interface entering button corresponding to other data respectively; the visual interface displays preset data conditions of preset data.

The display module 262 is configured to obtain preset data conditions corresponding to preset data, and specifically includes: acquiring preset data; based on the preset data, counting to obtain preset data conditions of the preset data.

The display module 262 is configured to obtain, based on preset data, a preset data condition of the preset data according to statistics, and specifically includes: counting the preset data according to a preset counting strategy to obtain preset data conditions of the preset data; or, reading the preset data condition corresponding to the preset data from a preset storage area, wherein the preset data condition obtained by counting the preset data in advance is stored in the preset storage area.

The display module 262 is configured to display a visual interface corresponding to preset data and a visual interface entry button corresponding to other data respectively, and specifically includes: displaying a visual interface corresponding to the preset data and a visual interface entry button corresponding to other data respectively, and displaying a corresponding first configuration item for the preset data condition of the preset data; after the visual interface corresponding to the preset data and the visual interface entering button corresponding to other data are displayed, the method specifically comprises the following steps: and responding to the adjustment operation of the user on the first configuration item, and adjusting the data condition selected by the user as a new preset data condition.

The platform data comprises various attribute information, the target data condition comprises a plurality of sub-target data conditions, each sub-target data condition is a statistical condition related to the attribute information, and the plurality of sub-target data conditions comprise at least one changeable statistical condition; the display module 262 is configured to display a visual interface of at least one of object data, scientific research data, inspection data, and platform data, and specifically includes: displaying a plurality of sub-target data conditions and displaying a second configuration item of corresponding attribute information for the changeable statistical conditions; after the visual interface of at least one of the clinical object data, the scientific research data, the censoring data and the platform data is displayed, the method specifically comprises the following steps: and adjusting attribute information corresponding to the changeable statistical condition in response to the selection operation of the user on the second configuration item, and re-counting and displaying the changeable statistical condition based on the adjusted attribute information.

The display module 262 is configured to, before receiving the login instruction, specifically include: acquiring source data; preprocessing source data to obtain target data; and/or, the receiving module 261 is configured to receive a login instruction, and specifically includes: receiving a login instruction sent by a user terminal, wherein the login instruction is generated by the user terminal in response to login operation of a user; the display module 262 is configured to display a visual interface of at least one of object data, scientific research data, inspection data, and platform data in response to the login instruction, and specifically includes: and responding to the login instruction, and sending data conditions corresponding to at least one of the object data, the scientific research data, the censoring data and the platform data to the user terminal so that the user terminal displays the data conditions corresponding to the at least one of the object data, the scientific research data, the censoring data and the platform data.

Referring to fig. 27, fig. 27 is a schematic structural diagram of an embodiment of an electronic device provided in the present application. The electronic device 270 comprises a memory 271 and a processor 272 coupled to each other, the processor 272 being adapted to execute program instructions stored in the memory 271 for carrying out the steps of the method embodiments of operation of any of the medical data management platforms described above. In one particular implementation scenario, electronic device 270 may include, but is not limited to: the microcomputer and the server, and the electronic device 270 may also include a mobile device such as a notebook computer and a tablet computer, which is not limited herein.

In particular, the processor 272 is operative to control itself and the memory 271 to implement the steps of the operational method embodiments of any of the medical data management platforms described above. The processor 272 may also be referred to as a CPU (Central Processing Unit ). The processor 272 may be an integrated circuit chip with signal processing capabilities. The processor 272 may also be a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a Field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 272 may be commonly implemented by an integrated circuit chip.

Referring to fig. 28, fig. 28 is a schematic structural diagram of an embodiment of a computer readable storage medium provided in the present application. The computer readable storage medium 280 of the embodiments of the present application stores program instructions 281, which program instructions 281 when executed implement the methods provided by any embodiment of the methods of operation of the medical data management platform of the present application, as well as any non-conflicting combination. The program instructions 281 may form a program file stored in the computer readable storage medium 280 in the form of a software product, so that a computer device (may be a personal computer, a server, or a network device, etc.) performs all or part of the steps of the methods of the embodiments of the present application. And the aforementioned computer-readable storage medium 280 includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes, or a terminal device such as a computer, a server, a mobile phone, a tablet, or the like.

If the technical scheme of the application relates to personal information, the product applying the technical scheme of the application clearly informs the personal information processing rule before processing the personal information, and obtains independent consent of the individual. If the technical scheme of the application relates to sensitive personal information, the product applying the technical scheme of the application obtains individual consent before processing the sensitive personal information, and simultaneously meets the requirement of 'explicit consent'. For example, a clear and remarkable mark is set at a personal information acquisition device such as a camera to inform that the personal information acquisition range is entered, personal information is acquired, and if the personal voluntarily enters the acquisition range, the personal information is considered as consent to be acquired; or on the device for processing the personal information, under the condition that obvious identification/information is utilized to inform the personal information processing rule, personal authorization is obtained by popup information or a person is requested to upload personal information and the like; the personal information processing rule may include information such as a personal information processor, a personal information processing purpose, a processing mode, and a type of personal information to be processed.

The foregoing description is only of embodiments of the present application, and is not intended to limit the scope of the patent application, and all equivalent structures or equivalent processes using the descriptions and the contents of the present application or other related technical fields are included in the scope of the patent application.

Claims

1. A method of operation of a medical data management platform, the method comprising:

receiving a login instruction;

wherein the login instruction is generated in response to an operation of a user to login to a medical data management platform for managing target data including at least one of: object data of a target object, scientific research data, censorship data of a cooperative object and platform data of the medical data management platform, wherein the object data is obtained by detecting the target object, and the cooperative object is a cooperative medical institution;

responding to the login instruction, and displaying a visual interface of at least one of the object data, the scientific research data, the censorship data and the platform data; the visual interface displays or can display the data condition of the corresponding data after being triggered.

2. The method of claim 1, wherein the displaying a visual interface of at least one of the object data, the scientific data, the censoring data, the platform data in response to the login instruction comprises:

responding to the login instruction, displaying a visual interface corresponding to preset data and a visual interface entry button corresponding to other data respectively; the preset data is one of the object data, the scientific research data, the censoring data and the platform data, the other data is data except the preset data in the object data, the scientific research data, the censoring data and the platform data, and one of the other data corresponds to a visual interface entering button.

3. The method according to claim 2, wherein displaying a visual interface corresponding to preset data and a visual interface entry button corresponding to other data, respectively, in response to the login instruction comprises:

responding to the login instruction, and acquiring preset data conditions corresponding to the preset data;

displaying the condition of preset data corresponding to the preset data and a visual interface entry button corresponding to other data respectively; the data condition of the preset data is the data condition of default data set by a user;

or, in response to the login instruction, displaying a main interface of the medical data management platform and a visual interface entry button corresponding to each data respectively;

receiving a selection instruction of a user for a visual interface access button, taking data corresponding to the visual interface selected by the user as preset data, and acquiring preset data conditions corresponding to the preset data;

displaying the condition of preset data corresponding to the preset data and a visual interface entry button corresponding to other data respectively; and the visual interface displays preset data conditions of the preset data.

4. A method according to claim 3, wherein the obtaining the preset data condition corresponding to the preset data includes:

acquiring the preset data;

and based on the preset data, counting to obtain preset data conditions of the preset data.

5. The method of claim 4, wherein the statistically obtaining the preset data for the preset data based on the preset data comprises:

counting the preset data according to a preset counting strategy to obtain preset data conditions of the preset data; or, reading the preset data condition corresponding to the preset data from a preset storage area, wherein the preset data condition obtained by counting the preset data in advance is stored in the preset storage area.

6. The method according to claim 2, wherein displaying the visual interface corresponding to the preset data and the visual interface entry buttons corresponding to the other data, respectively, comprises:

displaying a visual interface corresponding to the preset data and a visual interface entry button corresponding to other data respectively, and displaying a corresponding first configuration item for the preset data condition of the preset data;

After the visual interface corresponding to the preset data and the visual interface corresponding to other data respectively are displayed and enter the button, the method further comprises the steps of:

and responding to the adjustment operation of the user on the first configuration item, and adjusting the data condition selected by the user as a new preset data condition.

7. The method of claim 1, wherein the target data includes a plurality of attribute information, the target data instance includes a plurality of sub-target data instances, each of the sub-target data instances being a statistical instance with respect to one of the attribute information, the plurality of sub-target data instances including at least one alterable statistical instance;

the visual interface for displaying at least one of the object data, the scientific research data, the censoring data and the platform data comprises:

displaying the plurality of sub-target data conditions, and displaying a second configuration item of corresponding attribute information for the changeable statistical condition;

after the displaying the visual interface of at least one of the object data, the scientific data, the censoring data, the platform data, the method further comprises:

and adjusting attribute information corresponding to the changeable statistical condition in response to the selection operation of the user on the second configuration item, and re-counting and displaying the changeable statistical condition based on the adjusted attribute information.

8. The method according to claim 1, wherein a target data situation comprises several sub-target data situations, wherein at least one of the sub-target data situations is graphically displayed and/or wherein the several sub-target data situations are displayed in different areas on the same interface.

9. The method of claim 1, wherein prior to the receiving a login instruction, the method further comprises:

acquiring source data;

preprocessing the source data to obtain the target data;

and/or, the receiving login instruction includes:

receiving a login instruction sent by a user terminal, wherein the login instruction is generated by the user terminal in response to login operation of a user;

the responding to the login instruction displays a visual interface of at least one of the object data, the scientific research data, the censoring data and the platform data, and the method comprises the following steps:

and responding to the login instruction, and sending data conditions corresponding to at least one of the object data, the scientific research data, the censoring data and the platform data to the user terminal so that the user terminal displays the data conditions corresponding to the at least one of the object data, the scientific research data, the censoring data and the platform data.

10. A medical data management platform, the platform comprising:

the receiving module is used for receiving a login instruction; wherein the login instruction is generated in response to an operation of a user to login to a medical data management platform for managing target data including at least one of: object data of a target object, scientific research data, censorship data of a cooperative object and platform data of the data management platform, wherein the object data is obtained by detecting the target object, and the cooperative object is a cooperative medical institution;

the display module is used for responding to the login instruction and displaying a visual interface of at least one of the object data, the scientific research data, the censoring data and the platform data; and displaying or triggering the data condition of the corresponding data by the visual interface.

11. An electronic device comprising a processor for executing program instructions to implement the method of any of claims 1-9 and a memory for storing the program instructions.

12. A computer readable storage medium for storing program instructions executable to implement the method of any one of claims 1-9.