CN111554367A - Data processing method and device and computer readable medium - Google Patents
Data processing method and device and computer readable medium Download PDFInfo
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- CN111554367A CN111554367A CN202010340971.6A CN202010340971A CN111554367A CN 111554367 A CN111554367 A CN 111554367A CN 202010340971 A CN202010340971 A CN 202010340971A CN 111554367 A CN111554367 A CN 111554367A
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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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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 data set; when second medical diagnosis data corresponding to the first medical diagnosis data exist in the second medical diagnosis data set, replacing the second medical diagnosis data corresponding to the first medical diagnosis data with the first medical diagnosis data as replacement medical diagnosis data, and generating a first data state mark; when second medical diagnosis data corresponding to the first medical diagnosis data do not exist in the second medical diagnosis data set, adding the first medical diagnosis data to the second medical diagnosis data set, and generating a second data state mark; and sending the first data state mark or the second data state mark to the terminal.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method and apparatus, and a computer readable medium.
Background
The medical system of the hospital can record and manage the patient treatment record and record the utilization conditions of the resources such as the medicines, the wards and the like of the hospital. A medical system generally includes a terminal for a doctor to input data for clinical diagnosis, patient data, hospital resource data, and the like, 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 is applied to a server, the server comprises a data interface for data interaction with a terminal, and the method comprises the following steps:
acquiring first medical diagnosis data uploaded by a terminal through a data interface;
reading, by a 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 exist 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, replacing the second medical diagnosis data corresponding to the first medical diagnosis data with the first medical diagnosis data as replacement 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 second medical diagnostic data corresponding to the first medical diagnostic data does not exist in the second medical diagnostic data set;
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 print kernel includes:
reading an interface mark of a data interface for receiving the first medical diagnosis data as a target interface mark;
and reading the second medical diagnosis data set corresponding to the target interface mark through the virtual printer kernel.
Further, after reading the interface mark of the data interface receiving the first medical diagnosis data, the method further includes:
generating a task label according to the received first medical diagnosis data and the corresponding target interface mark, and storing the task label into a task pool;
the reading, by the virtual printer kernel, the second medical diagnosis data set corresponding to the target interface label includes:
acquiring uploading time and an interface grade corresponding to each task label, wherein the uploading time is used for indicating the time for receiving the first medical diagnosis data indicated by the task label, and the interface grade is used for indicating the importance grade of a data interface for receiving the first medical diagnosis data indicated by the task label;
sequencing the task labels in the task pool according to the uploading time and the interface level;
and reading a second medical diagnosis data set corresponding to the target interface mark sequentially through the virtual printer kernel according to the sequence of the task labels.
Further, the sorting the task tags in the task pool according to the upload time and the interface level includes:
if the number of the task tags contained in the task pool does not exceed the preset number, acquiring the uploading time corresponding to each task tag, and sequencing the task tags in the task pool according to the uploading time;
if the number of the task labels contained in the task pool exceeds the preset number, acquiring an interface level corresponding to each task label, and sequencing the task labels in the task pool according to the interface levels.
Further, the sorting the task tags in the task pool according to the upload time and the interface level includes:
calculating the unprocessed time length corresponding to the task tag according to the uploading time and the current time;
obtaining a first weight according to the unprocessed time length, and obtaining a second weight according to the interface level, wherein the first weight is positively correlated with the unprocessed time length, and the first weight is positively correlated with the interface level;
and obtaining a sequencing weight of each task label according to the first weight and the second weight, and sequencing the task labels in the task pool according to the sequencing weight.
Further, the searching whether the second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set includes:
determining a search mode corresponding to the task tag according to the interface level 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 exist in the second medical diagnosis data set or not 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 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 exist in the second medical diagnosis data set or not 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 exist in the second medical diagnosis data set.
A data processing device is applied to a server, the server comprises a data interface for data interaction with a terminal, and the device comprises:
the data uploading module is used for acquiring first medical diagnosis data uploaded by the terminal through the data interface;
the data reading module is used for reading a second medical diagnosis data set through the virtual printer kernel, wherein the second medical diagnosis data set comprises one or more second medical diagnosis data;
the data searching module is used for searching whether second medical diagnosis data corresponding to the first medical diagnosis data exist in the second medical diagnosis data set or not;
a data replacement module, configured to, when second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set, replace, as replacement medical diagnosis data, the second medical diagnosis data corresponding to the first medical diagnosis data with the first medical diagnosis data, and generate a first data status flag;
a data adding module, configured to add the first medical diagnosis data to the second medical diagnosis data set and generate a second data status flag when second medical diagnosis data corresponding to the first medical diagnosis data does not exist in the second medical diagnosis data set;
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 comprises a memory and a processor, wherein the memory stores computer-executable instructions, and the processor realizes the method when executing the computer-executable instructions on the memory.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the above-mentioned 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 first medical diagnosis data can be judged to be replaced or added, the medical data on the server can be prevented from being falsely tampered, 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 used in the description of the embodiments will be briefly introduced below.
Fig. 1 is a diagram illustrating an application scenario of a data processing method according to an embodiment.
FIG. 2 is a flow diagram of a data processing method in one embodiment.
FIG. 3 is a block diagram of a data processing apparatus in one embodiment
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that the terms "comprises" and/or "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 herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application 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 and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Fig. 1 is a diagram illustrating an application scenario of a data processing method according to an embodiment. The application scenario in this embodiment includes a terminal 102, a server 104, and a server 106. Specifically, the method comprises the following steps:
the terminal 102 is connected with the server 104, and the server 104 and the server 106 may form a server cluster to jointly complete 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 read the second medical diagnosis data set through the virtual printer kernel, and find whether the second medical diagnosis data set has second medical diagnosis data corresponding to the first medical diagnosis data. When second medical diagnosis data corresponding to the first medical diagnosis data exist in the second medical diagnosis data set, replacing the second medical diagnosis data corresponding to the first medical diagnosis data with the first medical diagnosis data as replacement medical diagnosis data, and generating a first data state mark; when second medical diagnostic data corresponding to the first medical diagnostic data does not exist in the second medical diagnostic data set, the first medical diagnostic data is added to the second medical diagnostic data set and a second data status marker is generated. Finally, the server 104 and the server 106 send the first data status flag and/or the second data status flag to the terminal 102.
Fig. 2 is a flowchart of a data processing method in an embodiment, and as shown in fig. 2, the data processing method is applied to a server, where the server includes a data interface for performing data interaction with a terminal, and the data processing method specifically includes:
It is understood that the terminal may be a terminal for interacting with a doctor to input a patient treatment record, may be a terminal for entering drug resource management data, and may be a terminal for recording a ward occupation situation, which is not limited herein. That is, the terminal is used for acquiring medical diagnosis data, the medical diagnosis data generally refers to data generated in the operation process of a hospital, and may be, but not limited to, patient treatment data, drug resource data, ward resource data, and the like, and the patient treatment data may include clinical image data, such as radiation, ultrasound, endoscope, examination, electrocardiogram, pathology, and operation video of a patient, and the like. The medical diagnosis data is input through the terminal, and the server can store and manage the medical data. 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 corresponding input according to the request of the terminal and returns the input to the terminal for viewing. The terminal can also input a request for deleting the medical diagnosis data, and after the server receives the deletion request, the server carries out deletion operation on the medical diagnosis data indicated by the deletion request.
In embodiments provided herein, the server for managing medical diagnostic data may include an intranet server and an extranet server. The intranet server is connected with the terminal and the external server respectively, and the intranet server 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 the terminals being connected via a data interface, and the terminals uploading or downloading the medical diagnostic data to the server via the data interface.
After the server acquires the first medical diagnosis data uploaded by the terminal, the previously stored second medical diagnosis data set can be read. The second medical diagnostic data set contains one or more second medical diagnostic data for recording existing patient data, hospital resources, and the like.
After the first medical diagnosis data is received, the first medical diagnosis data is compared with second medical diagnosis data in a stored second medical diagnosis data set, whether the currently uploaded first medical diagnosis data exists in the server or not is judged, and therefore data synchronization between the terminal and the server is achieved.
In the embodiments provided by the present application, the first medical diagnostic data and the second medical diagnostic data are compared, which may be precise comparison, that is, all the fields in the first medical diagnostic data and the second medical diagnostic data correspond to each other to be matched; the keyword comparison may be performed, that is, the keyword in the first medical diagnosis data and the keyword in the second medical diagnosis data are compared, and if the keywords correspond to each other, the keywords are matched. For example, the name of the patient, the date of diagnosis, the items of diagnosis, etc. are directly matched.
And step 208, when second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set, replacing the second medical diagnosis data corresponding to the first medical diagnosis data with the first medical diagnosis data as replacement medical diagnosis data, and generating a first data state mark.
When the second medical diagnosis data exists in the second medical diagnosis data set corresponding to the first medical diagnosis data, the server is considered to have uploaded the medical diagnosis data identical to the first medical diagnosis data, and the second medical diagnosis data existing in the server can be updated according to the currently received first medical diagnosis data. Specifically, the currently received first medical diagnosis data is used as the 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, it is indicated that the server does not upload the medical diagnosis data identical to the first medical diagnosis data before, and the currently received first medical diagnosis data can be directly updated to the second medical diagnosis data set.
The first data state refers to a covering state of the first medical diagnosis data, namely, the currently received first medical diagnosis book is used for covering the corresponding second medical diagnosis data; 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 based on the currently received first medical diagnostic data. And sending the first data state or the second data state to the terminal 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 falsely tampered, 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 a second medical diagnostic data set through the virtual print kernel, comprising: reading an interface mark of a data interface for receiving first medical diagnosis data as a target interface mark; and reading the 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 when the terminal uploads data, a fixed interface may be selected for uploading, and the server may store data received by different interfaces in different locations, so as to search for data more quickly.
For example, the server may include an interface 1, an interface 2, and an interface 3, and each terminal may upload data through the same interface, so that the server may store the data uploaded through different interfaces in different folders, and when medical diagnosis data is received next time, the data may be directly compared with the medical diagnosis data in the corresponding folder, which is convenient for fast data search.
In one embodiment, after reading the interface tag of the data interface receiving the first medical diagnostic data, the method further comprises: generating a task label according to the received first medical diagnosis data and the corresponding target interface mark, and storing the task label into a task pool; reading, by the virtual printer kernel, a second medical diagnostic data set corresponding to the target interface label, including: acquiring uploading time and an interface grade corresponding to each task label, wherein the uploading time is used for indicating the time for receiving the first medical diagnosis data indicated by the task label, and the interface grade is used for indicating the importance grade of a data interface for receiving the first medical diagnosis data indicated by the task label; sequencing the task labels in the task pool according to the uploading time and the interface level; and reading a second medical diagnosis data set corresponding to the target interface mark sequentially through the virtual printer kernel according to the sequence of the task labels.
Further, the data interfaces may be divided into different levels, with the interfaces of different levels receiving data of different degrees of importance. For example, the interface with higher importance level is used for receiving more urgent and important data, so that the server can perform encryption processing and store the data when receiving the data.
Specifically, when the server is busy, the processing of the tasks may be prioritized, so that when the server faces a large amount of data, the tasks with high priority may be processed preferentially. Specifically, the server may establish a task pool, and when first medical diagnosis data is received each time, generate a task tag according to an interface tag of the received first medical diagnosis data, and store the task tag in the task pool to indicate that the task is in a pending state. After the task tags are generated, the task tags can be sorted according to the uploading time of the received first medical diagnosis data and the importance level of the data interface receiving the first medical diagnosis data, and then the tasks are processed in sequence according to the sorting.
In one embodiment, sorting task tags in a task pool according to upload time and interface level comprises: if the number of the task tags contained in the task pool does not exceed the preset number, acquiring the uploading time corresponding to each task tag, and sequencing the task tags in the task pool according to the uploading time; and if the number of the task tags contained in the task pool exceeds the preset number, acquiring an interface level corresponding to each task tag, and sequencing the task tags in the task pool according to the interface levels.
When the number of the task labels contained in the task pool exceeds the preset number, the server is considered to be in overload operation, the tasks can be sequenced according to the priority degree of the tasks, and then the tasks are sequentially processed according to the sequencing. Correspondingly, when the number of the 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 sequenced according to the time for establishing the tasks,
in other embodiments provided by the present application, sorting the task tags in the task pool according to the upload time and the interface level includes: calculating the unprocessed time length corresponding to the task tag according to the uploading time and the current time; obtaining a first weight according to the unprocessed time length and a second weight according to the interface level, wherein the first weight is positively correlated with the unprocessed time length and the first weight is positively correlated with the interface level; and obtaining a sequencing weight of each task label according to the first weight and the second weight, and sequencing the task labels in the task pool according to the sequencing weight.
Knowing the upload time of the first medical diagnostic data, the length of time between the upload time and the current time can be calculated as the unprocessed length of time. And then, a first weight value can be obtained according to the unprocessed time length, a second weight value is obtained according to the interface level, a final sorting weight value is obtained by calculation according to the first weight value and the second weight value, and the task labels are sorted according to 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 comprises: determining a search mode corresponding to the task tag according to the interface level 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 exist in the second medical diagnosis data set according to the searching mode.
The search for the medical data may include a plurality of search modes, such as an accurate search, a keyword search, and the like, and the search precision and the search speed are different without using the search modes. Specifically, the search may be performed according to the interface level and the data volume of the first medical diagnostic data. Generally, the interface level is higher, the data volume of the first medical diagnosis data is smaller, and a search mode with higher search precision can be selected; on the contrary, the interface level is low, the data volume of the first medical diagnosis data is large, and the searching mode with low searching precision and high speed can be selected
In one embodiment, searching for the presence of the second medical diagnostic data corresponding to the first medical diagnostic data in the second medical diagnostic data set according to the search pattern comprises: 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 exist in the second medical diagnosis data set or not according to the first searching mode in the searching duration; and 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 exist in the second medical diagnosis data set.
When data is searched according to the first search mode, a threshold value of the search duration can be preset, if data is not searched according to the first search mode within the search duration, the search can be continued by switching to the second search mode, and therefore the efficiency of searching the data can be improved.
FIG. 3 is a block diagram of a data processing apparatus according to an embodiment. The data processing device 300 is applied to a server, and the server 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 mark sending module 312. Wherein:
the data uploading module 302 is used for acquiring first medical diagnosis data uploaded by the terminal through a data interface;
a data reading module 304, configured to read a second medical diagnosis data set through the virtual printer kernel, where the second medical diagnosis data set includes one or more second medical diagnosis data;
a data searching module 306, configured to search whether second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set;
a data replacement module 308, configured to, when second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set, replace, as replacement medical diagnosis data, the second medical diagnosis data corresponding to the first medical diagnosis data with the first medical diagnosis data, and generate a first data status flag;
a data adding module 310, configured to add the first medical diagnosis data to the second medical diagnosis data set and generate a second data status flag when there is no second medical diagnosis data corresponding to the first medical diagnosis data in the second medical diagnosis data set;
a tag sending module 312, configured to send the first data status tag or the second data status tag to the terminal.
The data processing device provided by the above embodiment can compare the stored second medical diagnosis data set with the first medical diagnosis data uploaded by the terminal, so as to judge that the first medical diagnosis data is replaced or added, thereby avoiding the medical data on the server from being falsely tampered, and improving the accuracy of processing the medical diagnosis data.
In one embodiment, the server comprises a plurality of data interfaces, and each data interface corresponds to one interface mark; the data reading module 304 is further configured to read an interface tag of a data interface that receives the first medical diagnosis data, as a target interface tag; and reading the 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 tag, and store the task tag into a task pool; acquiring uploading time and an interface grade corresponding to each task label, wherein the uploading time is used for indicating the time for receiving the first medical diagnosis data indicated by the task label, and the interface grade is used for indicating the importance grade of a data interface for receiving the first medical diagnosis data indicated by the task label; sequencing the task labels in the task pool according to the uploading time and the interface level; and reading a second medical diagnosis data set corresponding to the target interface mark sequentially through the virtual printer kernel according to the sequence of the task labels.
In an embodiment, the data reading module 304 is further configured to, if the number of task tags included in the task pool does not exceed a preset number, obtain upload time corresponding to each task tag, and sort the task tags in the task pool according to the upload time; if the number of the task labels contained in the task pool exceeds the preset number, acquiring an interface level corresponding to each task label, and sequencing the task labels in the task pool according to the interface levels.
In an 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 unprocessed time length, and obtaining a second weight according to the interface level, wherein the first weight is positively correlated with the unprocessed time length, and the first weight is positively correlated with the interface level; and obtaining a sequencing weight of each task label according to the first weight and the second weight, and sequencing the task labels in the task pool according to the sequencing weight.
In an embodiment, the data search module 306 is further configured to determine a search pattern corresponding to the task tag according to the interface level and the data volume of the first medical diagnosis data, where the search pattern includes a first search pattern and a second search pattern, and the search accuracy of the first search pattern is higher than the search accuracy of the second search pattern; and searching whether second medical diagnosis data corresponding to the first medical diagnosis data exist in the second medical diagnosis data set or not according to the searching mode.
In an embodiment, the data search module 306 is further configured to obtain a preset search duration if the search mode is the first search mode; searching whether second medical diagnosis data corresponding to the first medical diagnosis data exist in the second medical diagnosis data set or not 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 exist in the second medical diagnosis data set.
It will be appreciated that fig. 3 only shows a simplified design of the data processing device. In practical applications, the data processing device may further include other necessary components, including but not limited to any number of input/output devices, processors, controllers, memories, etc., and all the motion recognition devices that can implement the embodiments of the present application are within the protection scope of the present application.
The memory includes, but is not limited to, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), or a portable read-only memory (CD-ROM), which is used for storing instructions and data.
The input means are for inputting data and/or signals and the output means are for outputting data and/or signals. The output means and the input means may be separate devices or may be an integral device.
The processor may include one or more processors, for example, one or more Central Processing Units (CPUs), and in the case of one CPU, the 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 accelerated processing.
The memory is used to store program codes and data of the network device.
The processor is used for calling the program codes and data in the memory and executing the steps in the method embodiment. Specifically, reference may be made to the description of the method embodiment, which is not repeated herein.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the division of the unit is only one logical function division, and other division may be implemented in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. The shown or discussed mutual coupling, direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In the above embodiments, the implementation may be wholly or partially realized 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. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on or transmitted over 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 wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)), or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a read-only memory (ROM), or a 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 (DVD), or a semiconductor medium, such as a Solid State Disk (SSD).
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A data processing method is applied to a server, the server comprises a data interface for data interaction with a terminal, and the method comprises the following steps:
acquiring first medical diagnosis data uploaded by a terminal through a data interface;
reading, by a 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 exist 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, replacing the second medical diagnosis data corresponding to the first medical diagnosis data with the first medical diagnosis data as replacement 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 second medical diagnostic data corresponding to the first medical diagnostic data does not exist in the second medical diagnostic data set;
and sending the first data state mark or the second data state mark to the terminal.
2. The method of claim 1, wherein the server comprises a plurality of data interfaces, one interface label for each data interface; the reading of the second medical diagnostic data set by the virtual print kernel includes:
reading an interface mark of a data interface for receiving the first medical diagnosis data as a target interface mark;
and reading the second medical diagnosis data set corresponding to the target interface mark through the virtual printer kernel.
3. The method of claim 2, wherein after reading the interface indicia of the data interface receiving the first medical diagnostic data, further comprising:
generating a task label according to the received first medical diagnosis data and the corresponding target interface mark, and storing the task label into a task pool;
the reading, by the virtual printer kernel, the second medical diagnosis data set corresponding to the target interface label includes:
acquiring uploading time and an interface grade corresponding to each task label, wherein the uploading time is used for indicating the time for receiving the first medical diagnosis data indicated by the task label, and the interface grade is used for indicating the importance grade of a data interface for receiving the first medical diagnosis data indicated by the task label;
sequencing the task labels in the task pool according to the uploading time and the interface level;
and reading a second medical diagnosis data set corresponding to the target interface mark sequentially through the virtual printer kernel according to the sequence of the task labels.
4. The method of claim 3, wherein the sorting task tags in the task pool according to the upload time and the interface level comprises:
if the number of the task tags contained in the task pool does not exceed the preset number, acquiring the uploading time corresponding to each task tag, and sequencing the task tags in the task pool according to the uploading time;
if the number of the task labels contained in the task pool exceeds the preset number, acquiring an interface level corresponding to each task label, and sequencing the task labels in the task pool according to the interface levels.
5. The method of claim 3, wherein the sorting task tags in the task pool according to the upload time and the interface level comprises:
calculating the unprocessed time length corresponding to the task tag according to the uploading time and the current time;
obtaining a first weight according to the unprocessed time length, and obtaining a second weight according to the interface level, wherein the first weight is positively correlated with the unprocessed time length, and the first weight is positively correlated with the interface level;
and obtaining a sequencing weight of each task label according to the first weight and the second weight, and sequencing the task labels in the task pool according to the sequencing weight.
6. The method of claim 3, wherein said searching for the presence of second medical diagnostic data in the second set of medical diagnostic data corresponding to the first medical diagnostic data comprises:
determining a search mode corresponding to the task tag according to the interface level 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 exist in the second medical diagnosis data set or not according to the searching mode.
7. The method of claim 6, wherein said searching for the presence of second medical diagnostic data corresponding to the first medical diagnostic data in the second medical diagnostic data set according to the search pattern comprises:
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 exist in the second medical diagnosis data set or not 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 exist in the second medical diagnosis data set.
8. A data processing device is applied to a server, the server comprises a data interface for data interaction with a terminal, and the device comprises:
the data uploading module is used for acquiring first medical diagnosis data uploaded by the terminal through the data interface;
the data reading module is used for reading a second medical diagnosis data set through the virtual printer kernel, wherein the second medical diagnosis data set comprises one or more second medical diagnosis data;
the data searching module is used for searching whether second medical diagnosis data corresponding to the first medical diagnosis data exist in the second medical diagnosis data set or not;
a data replacement module, configured to, when second medical diagnosis data corresponding to the first medical diagnosis data exists in the second medical diagnosis data set, replace, as replacement medical diagnosis data, the second medical diagnosis data corresponding to the first medical diagnosis data with the first medical diagnosis data, and generate a first data status flag;
a data adding module, configured to add the first medical diagnosis data to the second medical diagnosis data set and generate a second data status flag when second medical diagnosis data corresponding to the first medical diagnosis data does not exist in the second medical diagnosis data set;
and the mark sending module is used for sending the first data state mark or the second data state mark to the terminal.
9. An electronic device comprising a memory having computer-executable instructions stored thereon and a processor that, when executing the computer-executable instructions on the memory, implements the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the method of any one of claims 1 to 7.
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