CN111554367B - Data processing method, device and computer readable medium - Google Patents
Data processing method, device and computer readable medium Download PDFInfo
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- CN111554367B CN111554367B CN202010340971.6A CN202010340971A CN111554367B CN 111554367 B CN111554367 B CN 111554367B CN 202010340971 A CN202010340971 A CN 202010340971A CN 111554367 B CN111554367 B CN 111554367B
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The embodiment of the application discloses a data processing method, a data processing device and a computer readable medium, wherein the method comprises the following steps: acquiring first medical diagnosis data uploaded by a terminal through a data interface; reading, by the virtual printer kernel, the second medical diagnostic dataset; when second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set, the second medical diagnosis data corresponding to the first medical diagnosis data is used as replacement medical diagnosis data, the replacement medical diagnosis data in the second medical diagnosis data set is replaced by the first medical diagnosis data, and a first data state mark is generated; adding the first medical diagnostic data to the second medical diagnostic data set and generating a second data status flag when there is no second medical diagnostic data in the second medical diagnostic data set that corresponds to the first medical diagnostic data; the first data state flag or the second data state flag is sent to the terminal.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a data processing method, apparatus, and computer readable medium.
Background
The medical system of the hospital can record and manage the patient treatment record and also record the utilization condition of the resources such as medicines, wards and the like of the hospital. The medical system generally includes a terminal for a doctor to input clinical diagnosis data, patient data, hospital resource data, etc., and a server for centrally managing the data.
Disclosure of Invention
The embodiment of the application provides a data processing method which can improve the accuracy of data processing.
A data processing method applied to a server, the server comprising a data interface for data interaction with a terminal, the method comprising:
acquiring first medical diagnosis data uploaded by a terminal through a data interface;
reading, by the virtual printer kernel, a second medical diagnostic data set, wherein the second medical diagnostic data set contains one or more second medical diagnostic data;
searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set;
when second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set, taking the second medical diagnosis data corresponding to the first medical diagnosis data as replacement medical diagnosis data, replacing the replacement medical diagnosis data in the second medical diagnosis data set by the first medical diagnosis data, and generating a first data state mark;
adding the first medical diagnostic data to the second medical diagnostic data set and generating a second data status flag when there is no second medical diagnostic data in the second medical diagnostic data set that corresponds to the first medical diagnostic data;
and sending the first data state mark or the second data state mark to the terminal.
Further, the server comprises a plurality of data interfaces, and each data interface corresponds to one interface mark; the reading of the second medical diagnostic data set by the virtual printing kernel comprises:
reading an interface mark of a data interface for receiving the first medical diagnosis data as a target interface mark;
and reading a second medical diagnosis data set corresponding to the target interface mark through the virtual printer kernel.
Further, after the reading of the interface flag of the data interface that receives the first medical diagnosis data, the method further includes:
generating a task tag according to the received first medical diagnosis data and the corresponding target interface mark, and storing the task tag into a task pool;
the reading, by the virtual printer kernel, the second medical diagnostic dataset corresponding to the target interface marker includes:
the method comprises the steps of obtaining uploading time and interface grade corresponding to each task label, wherein the uploading time is used for representing time for receiving first medical diagnosis data indicated by the task label, and the interface grade is used for representing importance grade of a data interface for receiving the first medical diagnosis data indicated by the task label;
sequencing task labels in the task pool according to the uploading time and the interface grade;
and reading the second medical diagnosis data set corresponding to the target interface mark through the virtual printer kernel in sequence according to the sequence of the task labels.
Further, the sorting task labels in the task pool according to the uploading time and the interface level includes:
if the number of task labels contained in the task pool does not exceed the preset number, acquiring uploading time corresponding to each task label, and sequencing the task labels in the task pool according to the uploading time;
and if the number of the task labels contained in the task pool exceeds the preset number, acquiring an interface grade corresponding to each task label, and sequencing the task labels in the task pool according to the interface grade.
Further, the sorting task labels in the task pool according to the uploading time and the interface level includes:
calculating unprocessed time length corresponding to the task tag according to the uploading time and the current time;
obtaining a first weight according to the untreated time length and obtaining a second weight according to the interface grade, wherein the first weight is positively correlated with the untreated time length, and the first weight is positively correlated with the interface grade;
and obtaining the sorting weight of each task label according to the first weight and the second weight, and sorting the task labels in the task pool according to the sorting weight.
Further, the searching for whether the second medical diagnosis data set has second medical diagnosis data corresponding to the first medical diagnosis data includes:
determining a search mode corresponding to the task tag according to the interface grade and the data volume of the first medical diagnosis data, wherein the search mode comprises a first search mode and a second search mode, and the search precision of the first search mode is higher than that of the second search mode;
and searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the searching mode.
Further, the searching whether the second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the searching mode includes:
if the searching mode is a first searching mode, acquiring a preset searching duration;
searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the first searching mode in the searching duration;
and if the query result is not obtained within the search duration, switching to the second search mode to search whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set.
A data processing apparatus for use with a server, the server comprising a data interface for data interaction with a terminal, the apparatus comprising:
the data uploading module is used for acquiring first medical diagnosis data uploaded by the terminal through the data interface;
a data reading module for reading a second medical diagnostic data set through the virtual printer kernel, wherein the second medical diagnostic data set contains one or more second medical diagnostic data;
a data searching module for searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set;
a data replacement module configured to, when second medical diagnostic data corresponding to the first medical diagnostic data exists in the second medical diagnostic data set, replace the replacement medical diagnostic data in the second medical diagnostic data set with the first medical diagnostic data, with the second medical diagnostic data corresponding to the first medical diagnostic data as replacement medical diagnostic data, and generate a first data status flag;
a data adding module for adding the first medical diagnostic data to the second medical diagnostic data set and generating a second data status flag when there is no second medical diagnostic data in the second medical diagnostic data set that corresponds to the first medical diagnostic data;
and the mark sending module is used for sending the first data state mark or the second data state mark to the terminal.
An electronic device comprising a memory having stored thereon computer executable instructions and a processor that when executing the computer executable instructions on the memory performs the above method.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method.
According to the data processing method, the data processing device and the computer readable medium, the stored second medical diagnosis data set can be compared according to the first medical diagnosis data uploaded by the terminal, so that the replacement or addition operation of the first medical diagnosis data is judged, the medical data on the server is prevented from being falsified by mistake, and the accuracy of processing the medical diagnosis data is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below.
FIG. 1 is an application scenario diagram of a data processing method in one embodiment.
FIG. 2 is a flow chart of a method of data processing in one embodiment.
FIG. 3 is a block diagram of a data processing apparatus in one embodiment
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
FIG. 1 is an application scenario diagram of a data processing method in one embodiment. The application scenario in the present embodiment includes a terminal 102, a server 104, and a server 106. Specific:
the terminal 102 is connected with the server 104, and the server 104 and the server 106 can form a server cluster to jointly complete the storage and management of medical diagnosis data. The terminal 102 may upload the first medical diagnostic data to the server 104 and the server 106 through the data interface. The server 104 and the server 106 then read the second medical diagnosis data set through the virtual printer kernel, and find whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set. When second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set, the second medical diagnosis data corresponding to the first medical diagnosis data is used as replacement medical diagnosis data, the replacement medical diagnosis data in the second medical diagnosis data set is replaced by the first medical diagnosis data, and a first data state mark is generated; when the second medical diagnosis data set does not have the second medical diagnosis data corresponding to the first medical diagnosis data, the first medical diagnosis data is added to the second medical diagnosis data set, and a second data status flag is generated. Finally, the server 104 and the server 106 send the first data state flag and/or the second data state flag to the terminal 102.
Fig. 2 is a flowchart of a data processing method in one embodiment, as shown in fig. 2, where the data processing method is applied to a server, and the server includes a data interface for performing data interaction with a terminal, and the data processing method specifically includes:
It will be appreciated that the terminal may be a terminal for interaction with a doctor for inputting a patient visit record, may be a terminal for inputting drug resource management data, or may be a terminal for recording ward occupation, which is not limited herein. That is, the terminal is used for collecting medical diagnosis data, the medical diagnosis data generally refers to data generated in the operation process of a hospital, and can be, but not limited to, patient diagnosis data, medicine resource data, ward resource data and the like, wherein the patient diagnosis data can include clinical image data, such as radiation, ultrasound, endoscope, examination, electrocardio, pathology, operation video and the like of a patient. The server can store and manage the medical diagnosis data by inputting the medical diagnosis data through the terminal. The medical diagnostic data may be structured data or unstructured data, and may be stored in a distributed manner on a server.
For example, the terminal may input a request for viewing medical diagnostic data to the server, and then the server queries the corresponding input according to the request of the terminal and returns the input to the terminal for viewing. The terminal may also input a request for deleting the medical diagnosis data, and the server may delete the medical diagnosis data indicated by the deletion request after receiving the deletion request.
In the embodiments provided herein, the server for managing medical diagnostic data may include an intranet server and an external server. The intranet server is respectively connected with the terminal and the external server, and can directly receive medical data uploaded by the terminal. After receiving the medical data, the intranet server stores the received medical data. The terminal can modify, inquire, delete and the like the medical data stored by the intranet server.
In one embodiment, the server may be connected to one or more terminals, the server and terminals being connected via a data interface, the terminals uploading or downloading medical diagnostic data to the server via the data interface.
At step 204, a second medical diagnostic data set is read by the virtual printer kernel, wherein the second medical diagnostic data set contains one or more second medical diagnostic data.
After the server acquires the first medical diagnosis data uploaded by the terminal, the second medical diagnosis data set stored before can be read. The second medical diagnostic data set contains one or more second medical diagnostic data for recording existing patient data, hospital resources, etc.
After the first medical diagnosis data is received, the first medical diagnosis data is compared with the second medical diagnosis data in the stored second medical diagnosis data set, and whether the first medical diagnosis data uploaded currently exists in the server or not is judged, so that data synchronization of the terminal and the server is achieved.
In the embodiment provided by the application, the comparison of the first medical diagnosis data and the second medical diagnosis data may be performed accurately, that is, all fields in the first medical diagnosis data and the second medical diagnosis data are all corresponding to each other and are calculated as matching; the keyword comparison may be performed by comparing the keyword in the first medical diagnosis data with the keyword in the second medical diagnosis data, and the matching may be performed as long as the keywords correspond to each other. For example, directly match the patient's name, date of diagnosis, item of diagnosis, etc.
In step 208, when there is second medical diagnosis data corresponding to the first medical diagnosis data in the second medical diagnosis data set, the second medical diagnosis data corresponding to the first medical diagnosis data is used as replacement medical diagnosis data, the replacement medical diagnosis data in the second medical diagnosis data set is replaced by the first medical diagnosis data, and the first data status flag is generated.
When the second medical diagnosis data exists in the second medical diagnosis data set corresponding to the first medical diagnosis data, the second medical diagnosis data already existing in the server can be updated according to the currently received first medical diagnosis data, considering that the same medical diagnosis data as the first medical diagnosis data has been previously uploaded in the server. Specifically, the currently received first medical diagnosis data is used as replacement data to replace the second medical diagnosis data in the second medical diagnosis data set.
When the second medical diagnosis data set does not have the second medical diagnosis data corresponding to the first medical diagnosis data, indicating that the server has not uploaded the same medical diagnosis data as the first medical diagnosis data before, the currently received first medical diagnosis data may be directly updated into the second medical diagnosis data set.
The first data state refers to a coverage state of the first medical diagnosis data, that is, the corresponding second medical diagnosis data is covered by the currently received first medical diagnosis book; the second data state refers to an expanded state of the first medical diagnostic data, i.e. the original second medical diagnostic data set is expanded according to the currently received first medical diagnostic data. And sending the first data state or the second data state to the terminal so as to feed back the processing result of the data.
According to the data processing method provided by the embodiment, the stored second medical diagnosis data set can be compared according to the first medical diagnosis data uploaded by the terminal, so that the replacement or addition operation of the first medical diagnosis data is judged, the medical data on the server is prevented from being falsified by mistake, and the accuracy of processing the medical diagnosis data is improved.
In one embodiment, the server includes a plurality of data interfaces, each data interface corresponding to an interface tag; reading, by the virtual printing kernel, a second medical diagnostic data set comprising: reading an interface mark of a data interface for receiving first medical diagnosis data as a target interface mark; and reading a second medical diagnosis data set corresponding to the target interface mark through the virtual printer kernel.
Specifically, the server may include a plurality of data interfaces, and may allocate different data interfaces to the terminal, so that the terminal may select a fixed interface for uploading when uploading data, and the server may store the data received by the different interfaces in different positions, so as to facilitate faster searching of the data.
For example, the server may include an interface 1, an interface 2, and an interface 3, where each terminal uploads data through the same interface, so that the server may store the data uploaded by different interfaces in different folders, and when the medical diagnostic data is received next time, the server may directly compare the data with the medical diagnostic data in the corresponding folder, thereby facilitating quick data searching.
In one embodiment, after reading the interface tag of the data interface that receives the first medical diagnostic data, further comprising: generating a task tag according to the received first medical diagnosis data and the corresponding target interface mark, and storing the task tag into a task pool; reading, by the virtual printer kernel, a second medical diagnostic dataset corresponding to the target interface marker, comprising: the method comprises the steps of obtaining uploading time and interface grade corresponding to each task label, wherein the uploading time is used for representing time for receiving first medical diagnosis data indicated by the task label, and the interface grade is used for representing importance grade of a data interface for receiving the first medical diagnosis data indicated by the task label; sequencing task labels in the task pool according to the uploading time and the interface grade; and reading the second medical diagnosis data set corresponding to the target interface mark through the virtual printer kernel in sequence according to the sequence of the task labels.
Further, the data interfaces may be classified into different levels, with interfaces of different levels receiving data of different degrees of importance. For example, an interface with a high importance level is used to receive data that is urgent and important, so that the server can do encryption processing and store the data when receiving the data.
Specifically, when the server is busy, tasks may be prioritized, so that when the server faces a larger amount of data, tasks with high priorities may be prioritized. Specifically, the server may establish a task pool, and each time the first medical diagnostic data is received, generate a task tag according to the interface flag for receiving the first medical diagnostic data, and store the task tag in the task pool, so as to indicate that the task is in a pending state. After generating the task labels, the task labels may be ordered according to the uploading time of the received first medical diagnosis data and the importance level of the data interface receiving the high first medical diagnosis data, and then the tasks may be sequentially processed according to the order.
In one embodiment, sorting task labels in a task pool according to upload time and interface level includes: if the number of task labels contained in the task pool does not exceed the preset number, acquiring uploading time corresponding to each task label, and sequencing the task labels in the task pool according to the uploading time; if the number of task labels contained in the task pool exceeds the preset number, the interface grade corresponding to each task label is obtained, and the task labels in the task pool are ordered according to the interface grade.
When the number of task labels contained in the task pool exceeds the preset number, the server is considered to be in overload operation, the tasks can be ordered according to the priority degree of the tasks, and then the tasks are sequentially processed according to the order. Correspondingly, when the number of task labels contained in the task pool does not exceed the preset number, the resources of the server are considered to be sufficient, the tasks can be ordered according to the time for establishing the tasks,
in other embodiments provided herein, sorting task labels in a task pool according to an upload time and an interface level includes: calculating the unprocessed time length corresponding to the task label according to the uploading time and the current time; obtaining a first weight according to the untreated time length and obtaining a second weight according to the interface grade, wherein the first weight is positively correlated with the untreated time length, and the first weight is positively correlated with the interface grade; and obtaining the sorting weight of each task label according to the first weight and the second weight, and sorting the task labels in the task pool according to the sorting weight.
Knowing the upload time of the first medical diagnostic data, the length of the upload time from the current time may be calculated as the unprocessed length. And then a first weight value can be obtained according to the unprocessed time length, a second weight value is obtained by the interface level, a final sorting weight value is obtained by calculation according to the first weight value and the second weight value, and task labels are sorted according to the size of the sorting weight value.
In one embodiment, finding whether second medical diagnostic data corresponding to the first medical diagnostic data exists in the second medical diagnostic data set includes: determining a search mode corresponding to the task tag according to the interface grade and the data volume of the first medical diagnosis data, wherein the search mode comprises a first search mode and a second search mode, and the search precision of the first search mode is higher than that of the second search mode; and searching whether the second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the searching mode.
The search for medical data may include multiple search modes, such as accurate search, keyword search, etc., and the search speeds may be different without the search accuracy of the search modes being different. In particular, the search may be performed according to the interface level and the data amount of the first medical diagnostic data. Generally, the interface level is higher, the data size of the first medical diagnosis data is smaller, and a search mode with higher search precision is selected; conversely, if the interface level is lower and the data size of the first medical diagnosis data is larger, a search mode with lower search accuracy and higher speed is selected
In one embodiment, searching for the presence of second medical diagnostic data in the second medical diagnostic data set corresponding to the first medical diagnostic data according to the search mode includes: if the search mode is the first search mode, acquiring a preset search duration; searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the first searching mode in the searching time period; if the query result is not obtained within the search duration, switching to a second search mode to search whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set.
When searching data according to the first searching mode, a threshold value of searching time length can be preset, and if the data is not searched according to the first searching mode within the searching time length, the searching can be switched to the second searching mode to continue searching, so that the efficiency of searching the data can be improved.
FIG. 3 is a schematic diagram of a data processing apparatus in one embodiment. The data processing apparatus 300 is applied to a server, which includes a data interface for performing data interaction with a terminal, and includes a data uploading module 302, a data reading module 304, a data searching module 306, a data replacing module 308, a data adding module 310, and a tag transmitting module 312. Wherein:
the data uploading module 302 is configured to obtain first medical diagnosis data uploaded by the terminal through the data interface;
a data reading module 304 configured to read a second medical diagnostic data set through the virtual printer kernel, wherein the second medical diagnostic data set includes one or more second medical diagnostic data;
a data searching module 306, configured to search whether second medical diagnostic data corresponding to the first medical diagnostic data exists in the second medical diagnostic data set;
a data replacement module 308 configured to, when there is second medical diagnostic data corresponding to the first medical diagnostic data in the second medical diagnostic data set, replace the replacement medical diagnostic data in the second medical diagnostic data set with the first medical diagnostic data, with the second medical diagnostic data corresponding to the first medical diagnostic data as replacement medical diagnostic data, and generate a first data status flag;
a data adding module 310 for adding the first medical diagnostic data to the second medical diagnostic data set and generating a second data status flag when there is no second medical diagnostic data in the second medical diagnostic data set corresponding to the first medical diagnostic data;
a tag sending module 312, configured to send the first data status tag or the second data status tag to the terminal.
According to the data processing device provided by the embodiment, the stored second medical diagnosis data set can be compared according to the first medical diagnosis data uploaded by the terminal, so that the replacement or addition operation of the first medical diagnosis data is judged, the medical data on the server is prevented from being falsified by mistake, and the accuracy of processing the medical diagnosis data is improved.
In one embodiment, the server includes a plurality of data interfaces, each data interface corresponding to an interface tag; the data reading module 304 is further configured to read an interface tag of a data interface that receives the first medical diagnostic data as a target interface tag; and reading a second medical diagnosis data set corresponding to the target interface mark through the virtual printer kernel.
In one embodiment, the data reading module 304 is further configured to generate a task tag according to the received first medical diagnosis data and the corresponding target interface label, and store the task tag in a task pool; the method comprises the steps of obtaining uploading time and interface grade corresponding to each task label, wherein the uploading time is used for representing time for receiving first medical diagnosis data indicated by the task label, and the interface grade is used for representing importance grade of a data interface for receiving the first medical diagnosis data indicated by the task label; sequencing task labels in the task pool according to the uploading time and the interface grade; and reading the second medical diagnosis data set corresponding to the target interface mark through the virtual printer kernel in sequence according to the sequence of the task labels.
In an embodiment, the data reading module 304 is further configured to obtain an upload time corresponding to each task tag if the number of task tags included in the task pool does not exceed a preset number, and order the task tags in the task pool according to the upload time; and if the number of the task labels contained in the task pool exceeds the preset number, acquiring an interface grade corresponding to each task label, and sequencing the task labels in the task pool according to the interface grade.
In one embodiment, the data reading module 304 is further configured to calculate an unprocessed duration corresponding to the task tag according to the uploading time and the current time; obtaining a first weight according to the untreated time length and obtaining a second weight according to the interface grade, wherein the first weight is positively correlated with the untreated time length, and the first weight is positively correlated with the interface grade; and obtaining the sorting weight of each task label according to the first weight and the second weight, and sorting the task labels in the task pool according to the sorting weight.
In one embodiment, the data searching module 306 is further configured to determine a searching mode corresponding to the task tag according to the interface level and the data amount of the first medical diagnostic data, where the searching mode includes a first searching mode and a second searching mode, and a searching precision of the first searching mode is higher than a searching precision of the second searching mode; and searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the searching mode.
In one embodiment, the data searching module 306 is further configured to obtain a preset searching duration if the searching mode is the first searching mode; searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the first searching mode in the searching duration; and if the query result is not obtained within the search duration, switching to the second search mode to search whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set.
It will be appreciated that figure 3 only shows a simplified design of a data processing apparatus. In practical applications, the data processing device may also include other necessary elements, including but not limited to any number of input/output devices, processors, controllers, memories, etc., and all the action recognition devices that can implement the embodiments of the present application are within the scope of protection of the present application.
The memory includes, but is not limited to, random access memory (random access memory, RAM), read-only memory (ROM), erasable programmable read-only memory (erasable programmable read only memory, EPROM), or portable read-only memory (compact disc read to only memory, CD to ROM) for the associated instructions and data.
The input means is for inputting data and/or signals and the output means is for outputting data and/or signals. The output device and the input device may be separate devices or may be a single device.
A processor may include one or more processors, including for example one or more central processing units (central processing unit, CPU), which in the case of a CPU may be a single core CPU or a multi-core CPU. The processor may also include one or more special purpose processors, which may include GPUs, FPGAs, etc., for acceleration processing.
The memory is used to store program codes and data for the network device.
The processor is used to call the program code and data in the memory to perform the steps of the method embodiments described above. Reference may be made specifically to the description of the method embodiments, and no further description is given here.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the division of the unit is merely a logic function division, and there may be another division manner when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted or not performed. The coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted across a computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a read-only memory (ROM), or a random-access memory (random access memory, RAM), or a magnetic medium such as a floppy disk, a hard disk, a magnetic tape, a magnetic disk, or an optical medium such as a digital versatile disk (digital versatile disc, DVD), or a semiconductor medium such as a Solid State Disk (SSD), or the like.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any equivalent modifications or substitutions will be apparent to those skilled in the art within the scope of the present application, and these modifications or substitutions should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. A data processing method, applied to a server, the server including a data interface for data interaction with a terminal, the method comprising:
acquiring first medical diagnosis data uploaded by a terminal through a data interface;
reading, by the virtual printer kernel, a second medical diagnostic data set, wherein the second medical diagnostic data set contains one or more second medical diagnostic data;
searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set;
when second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set, taking the second medical diagnosis data corresponding to the first medical diagnosis data as replacement medical diagnosis data, replacing the replacement medical diagnosis data in the second medical diagnosis data set by the first medical diagnosis data, and generating a first data state mark;
adding the first medical diagnostic data to the second medical diagnostic data set and generating a second data status flag when there is no second medical diagnostic data in the second medical diagnostic data set that corresponds to the first medical diagnostic data;
the first data state mark or the second data state mark is sent to the terminal, wherein the server comprises a plurality of data interfaces, and each data interface corresponds to one interface mark; the reading of the second medical diagnostic data set by the virtual printer kernel includes:
reading an interface mark of a data interface for receiving the first medical diagnosis data as a target interface mark;
reading a second medical diagnosis data set corresponding to the target interface mark through a virtual printer kernel, wherein after reading the interface mark of the data interface for receiving the first medical diagnosis data, the method further comprises the following steps:
generating a task tag according to the received first medical diagnosis data and the corresponding target interface mark, and storing the task tag into a task pool;
the reading, by the virtual printer kernel, the second medical diagnostic dataset corresponding to the target interface marker includes:
the method comprises the steps of obtaining uploading time and interface grade corresponding to each task label, wherein the uploading time is used for representing time for receiving first medical diagnosis data indicated by the task label, and the interface grade is used for representing importance grade of a data interface for receiving the first medical diagnosis data indicated by the task label;
sequencing task labels in the task pool according to the uploading time and the interface grade;
reading a second medical diagnosis data set corresponding to the target interface mark through a virtual printer kernel in sequence according to the ordering of the task labels, wherein the ordering of the task labels in the task pool according to the uploading time and the interface grade comprises the following steps:
if the number of task labels contained in the task pool does not exceed the preset number, acquiring uploading time corresponding to each task label, and sequencing the task labels in the task pool according to the uploading time;
and if the number of the task labels contained in the task pool exceeds the preset number, acquiring an interface grade corresponding to each task label, and sequencing the task labels in the task pool according to the interface grade.
2. The method of claim 1, wherein the ordering task labels in the task pool according to the upload time and the interface level comprises:
calculating unprocessed time length corresponding to the task tag according to the uploading time and the current time;
obtaining a first weight according to the untreated time length, and obtaining a second weight according to the interface grade, wherein the first weight is positively correlated with the untreated time length, and the first weight is positively correlated with the interface grade;
and obtaining the sorting weight of each task label according to the first weight and the second weight, and sorting the task labels in the task pool according to the sorting weight.
3. The method of claim 1, wherein the looking up whether there is second medical diagnostic data in the second medical diagnostic data set corresponding to the first medical diagnostic data comprises:
determining a search mode corresponding to the task tag according to the interface grade and the data volume of the first medical diagnosis data, wherein the search mode comprises a first search mode and a second search mode, and the search precision of the first search mode is higher than that of the second search mode;
and searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the searching mode.
4. A method according to claim 3, wherein said looking up whether there is second medical diagnostic data in the second medical diagnostic data set corresponding to the first medical diagnostic data according to the lookup pattern comprises:
if the searching mode is a first searching mode, acquiring a preset searching duration;
searching whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set according to the first searching mode in the searching duration;
and if the query result is not obtained within the search duration, switching to the second search mode to search whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set.
5. An electronic device comprising a memory having stored thereon computer executable instructions and a processor which when executed performs the method of any of claims 1 to 4.
6. A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of claims 1 to 4.
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