CN112769882A - Medical data uploading method and device - Google Patents
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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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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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Abstract
The application provides a method and a device for uploading medical data. In the method, data to be uploaded, which are generated in the operation process of a medical instrument and need to be uploaded to an intelligent cloud, are acquired; acquiring the type of data to be uploaded; determining an upload period of the category of data; and uploading data to be uploaded to the intelligent cloud based on the uploading period. The data that this application produced through with medical instrument at the operation in-process is categorised, and sets up the upload cycle of each kind of data respectively according to the demand, then uploads data to intelligent high in the clouds based on uploading. So, the upload demand of each kind of data can be satisfied in this application, for example, can upload in real time to the higher data of requirement of ageing, has improved ageing, and the lower data of requirement of ageing for some can not upload to the intelligent high in the clouds in real time, later unified packing upload to network resource can be saved.
Description
Technical Field
The application relates to the technical field of chemical detection, in particular to a method and a device for uploading medical data.
Background
Currently, hospitals are usually equipped with various medical instruments for examining patients, such as nuclear magnetic resonance apparatus, CT apparatus, B-ultrasonic apparatus, blood item detector, and excretion detector.
Before a patient is examined using a medical instrument, consumables, for example, a detection reagent, etc., need to be added to the medical instrument, and then the patient is detected by means of the detection reagent.
The medical instrument needs to upload the use data of the consumables to the cloud end, so that technicians can count and analyze the consumable use condition of the medical instrument at the cloud end.
Disclosure of Invention
The application shows a method and a device for uploading medical data.
In a first aspect, the present application shows a method for uploading medical data, applied to a client installed on a medical instrument, the method including:
acquiring data to be uploaded, which is generated in the operation process of a medical instrument and needs to be uploaded to an intelligent cloud;
acquiring the type of the data to be uploaded;
determining an upload period of the category of data;
and uploading the data to be uploaded to an intelligent cloud based on the uploading period.
In an alternative implementation, the categories include at least: the material consumption class, the warning class, the error class, the debugging class, the calibration quality control class and the experiment result class.
In an optional implementation manner, the determining an upload period of the category of data includes:
in a first corresponding relation between the type of the data and the uploading period of the data, the uploading period corresponding to the type is searched.
In an optional implementation manner, the uploading the data to be uploaded to the smart cloud based on the uploading cycle includes:
determining the latest uploading moment of the data of the type uploaded to the cloud end in the history process;
determining the time to be uploaded of the data to be uploaded according to the latest uploading time and the uploading period;
and uploading the data to be uploaded to an intelligent cloud at the moment of the data to be uploaded.
In an optional implementation manner, the determining a latest uploading time of the data of the category, which is uploaded to the cloud last time in the history process, includes:
and searching the latest uploading time corresponding to the category in a second corresponding relation between the category of the data and the latest uploading time of the data.
In an optional implementation, the method further includes:
acquiring uploading time when the data to be uploaded is uploaded to an intelligent cloud based on the uploading period;
and updating the latest uploading time corresponding to the category in the second corresponding relationship based on the acquired uploading time.
In a second aspect, the present application shows an apparatus for uploading medical data, applied to a client installed on a medical instrument, the apparatus including:
the first acquisition module is used for acquiring data to be uploaded, which are generated in the operation process of the medical instrument and need to be uploaded to the intelligent cloud;
the second acquisition module is used for acquiring the type of the data to be uploaded;
the determining module is used for determining the uploading period of the data of the category;
and the uploading module is used for uploading the data to be uploaded to the intelligent cloud based on the uploading cycle.
In an alternative implementation, the categories include at least: the material consumption class, the warning class, the error class, the debugging class, the calibration quality control class and the experiment result class.
In an alternative implementation, the determining module is specifically configured to
In a first corresponding relation between the type of the data and the uploading period of the data, the uploading period corresponding to the type is searched.
In an optional implementation manner, the uploading module includes:
the first determining unit is used for determining the latest uploading moment of the data of the type uploaded to the cloud end in the history process;
a second determining unit, configured to determine a time to be uploaded of the data to be uploaded according to the latest uploading time and the uploading cycle;
and the uploading unit is used for uploading the data to be uploaded to the intelligent cloud at the moment to be uploaded.
In an optional implementation manner, the first determining unit is specifically configured to include: and searching the latest uploading time corresponding to the category in a second corresponding relation between the category of the data and the latest uploading time of the data.
In an optional implementation manner, the uploading module further includes:
the acquisition unit is used for acquiring the uploading time when the data to be uploaded is uploaded to the intelligent cloud based on the uploading cycle;
and the updating unit is used for updating the latest uploading time corresponding to the type in the second corresponding relation based on the acquired uploading time.
In a third aspect, the present application shows a client comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for uploading medical data according to the first aspect when executing the program.
In a fourth aspect, the present application shows a computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for uploading medical data according to the first aspect.
Compared with the prior art, the method has the following advantages:
in the prior art, medical data generated by a medical instrument in the operation process is not classified, the uploading periods of all data are the same, for example, all data are uploaded in real time or are uploaded on the second day, however, the requirement on timeliness of some data of an intelligent cloud end is higher, a client needs to upload the data to an intelligent cloud end in real time, uploading only on the second day can cause lower timeliness, the requirement on timeliness of some data of the intelligent cloud end is lower, the client can upload the data to the intelligent cloud end in non-real time, the data statistics of the previous day is completed on the second day and then is packaged and uploaded, otherwise, network resources are wasted by uploading for multiple times.
In the application, data to be uploaded, which are generated in the operation process of the medical instrument and need to be uploaded to the intelligent cloud, are acquired; acquiring the type of data to be uploaded; determining an upload period of the category of data; and uploading data to be uploaded to the intelligent cloud based on the uploading period. The data that this application produced through with medical instrument at the operation in-process is categorised, and sets up the upload cycle of each kind of data respectively according to the demand, then uploads data to intelligent high in the clouds based on uploading. So, the upload demand of each kind of data can be satisfied in this application, for example, can upload in real time to the higher data of requirement of ageing, has improved ageing, and the lower data of requirement of ageing for some can not upload to the intelligent high in the clouds in real time, later unified packing upload to network resource can be saved.
Drawings
Fig. 1 is a block diagram illustrating a medical data uploading system according to the present application.
Fig. 2 is a flowchart illustrating steps of a method for uploading medical data according to the present application.
Fig. 3 is a block diagram of a medical data uploading apparatus according to the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
Referring to fig. 1, a block diagram of a medical data uploading system according to the present application is shown, and the system includes an intelligent cloud 01 and a client 02 installed on a medical instrument.
The intelligent cloud 01 is connected with the client 02 installed on the medical instrument through wired or wireless remote communication.
Referring to fig. 2, a flowchart illustrating steps of a method for uploading medical data according to the present application is shown, where the method is applied to the system shown in fig. 1, and the method may specifically include the following steps:
in step S101, data to be uploaded, which is generated during the operation of the medical instrument and needs to be uploaded to the intelligent cloud, is acquired;
in this application, medical instrument can produce a lot of data of waiting to upload that need upload to intelligent high in the clouds in the operation process to make the operating condition that technical staff can make statistics of and analysis medical instrument in high in the clouds.
The data to be uploaded to the intelligent cloud end comprise a plurality of types, for example, at least: the material consumption class, the warning class, the error class, the debugging class, the calibration quality control class and the experiment result class.
In step S102, a type of data to be uploaded is acquired;
in the application, after the medical instrument generates some kinds of data in the operation process, the data needs to be uploaded to the cloud end in real time, for example, the data such as the warning type, the error type and the debugging type is often related to whether the medical instrument can normally operate or not, when the data of the warning type or the debugging type exists, it is indicated that the medical instrument often has potential abnormality, and when the data of the error type exists, it is indicated that the medical instrument often has abnormality and the like, therefore, in order to enable the medical instrument to normally operate as much as possible, the data needs to be uploaded to the intelligent cloud end in time, so that a technician can analyze the operation condition of the medical instrument at the intelligent cloud end and eliminate the abnormality as soon as possible.
In the application, after the medical instrument generates some kinds of data in the operation process, the data can be uploaded to the cloud end in real time, but are uploaded to the intelligent cloud end regularly, for example, the data of materials consumption, calibration quality control and experiment results and the like, the effect of the data is usually statistical use by technical personnel, the normal operation of the medical instrument is not influenced, and therefore the data is not required to be uploaded in real time, and more network resources are wasted.
In the application, each piece of data generated in the operation process of the medical instrument is provided with a specific field, and the type of the data is stored in the specific field, so that the type of the data to be uploaded can be determined according to the content in the specific field in the data to be uploaded.
In step S103, an upload period of the data of the category is determined;
in an embodiment of the present application, for any kind of data that may be generated during the operation of the medical instrument, an upload period of the kind of data may be determined in advance, and then the kind and the determined upload period are combined into a corresponding entry and stored in a first corresponding relationship between the kind of data and the upload period of the data. The same is true for every other kind of data that a medical instrument may generate during operation.
The upload period includes real time, 1 hour, 12 hours, 24 hours, and the like, which is not limited in the present application.
In this manner, in the step, the upload cycle corresponding to the category of the data may be searched for in the first correspondence relationship between the category of the data and the upload cycle of the data.
In step S104, data to be uploaded is uploaded to the smart cloud based on the upload cycle.
In this application, the step may be implemented by the following process, including:
1041. determining the latest uploading moment of the data of the type which is uploaded to the cloud end in the history process;
in the application, in the history process, for any kind of data generated by the medical instrument in the operation process, the uploading time can be determined every time the kind of data is uploaded to the intelligent cloud, and in the second corresponding relation between the kind of data and the latest uploading time of the data, the latest uploading time corresponding to the kind of data is updated to the uploading time. The same is true for every other kind of data that is generated by the medical instrument during operation.
Therefore, in this step, the latest upload time corresponding to the type of the data can be searched for in the second correspondence between the type of the data and the latest upload time of the data.
1042. Determining the time to be uploaded of the data to be uploaded according to the latest uploading time and the uploading period;
in the application, the latest uploading time and the uploading period can be summed to obtain the uploading-waiting time of the data to be uploaded.
1043. And uploading the data to be uploaded to the intelligent cloud at the moment of the data to be uploaded.
Further, the method further comprises: acquiring uploading time when data to be uploaded is uploaded to the intelligent cloud based on an uploading period; and updating the latest uploading time corresponding to the type in the second corresponding relation based on the acquired uploading time, so as to update the latest uploading time of the data of the type.
In the prior art, medical data generated by a medical instrument in the operation process is not classified, the uploading periods of all data are the same, for example, all data are uploaded in real time or are uploaded on the second day, however, the requirement on timeliness of some data of an intelligent cloud end is higher, a client needs to upload the data to an intelligent cloud end in real time, uploading only on the second day can cause lower timeliness, the requirement on timeliness of some data of the intelligent cloud end is lower, the client can upload the data to the intelligent cloud end in non-real time, the data statistics of the previous day is completed on the second day and then is packaged and uploaded, otherwise, network resources are wasted by uploading for multiple times.
In the application, data to be uploaded, which are generated in the operation process of the medical instrument and need to be uploaded to the intelligent cloud, are acquired; acquiring the type of data to be uploaded; determining an upload period of the category of data; and uploading data to be uploaded to the intelligent cloud based on the uploading period. The data that this application produced through with medical instrument at the operation in-process is categorised, and sets up the upload cycle of each kind of data respectively according to the demand, then uploads data to intelligent high in the clouds based on uploading. So, the upload demand of each kind of data can be satisfied in this application, for example, can upload in real time to the higher data of requirement of ageing, has improved ageing, and the lower data of requirement of ageing for some can not upload to the intelligent high in the clouds in real time, later unified packing upload to network resource can be saved.
It is noted that, for simplicity of explanation, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will appreciate that the present application is not limited by the order of acts, as some steps may, in accordance with the present application, occur in other orders and concurrently. Further, those skilled in the art will also appreciate that the embodiments described in the specification are exemplary and that no action is necessarily required in this application.
Referring to fig. 3, a block diagram of a medical data uploading apparatus according to the present application is shown, and the apparatus may specifically include the following modules:
the first acquisition module 11 is used for acquiring data to be uploaded, which are generated in the operation process of the medical instrument and need to be uploaded to the intelligent cloud;
a second obtaining module 12, configured to obtain a category of the data to be uploaded;
a determining module 13, configured to determine an upload period of the category of data;
and the uploading module 14 is used for uploading the data to be uploaded to the intelligent cloud based on the uploading cycle.
In an alternative implementation, the categories include at least: the material consumption class, the warning class, the error class, the debugging class, the calibration quality control class and the experiment result class.
In an alternative implementation, the determining module is specifically configured to
In a first corresponding relation between the type of the data and the uploading period of the data, the uploading period corresponding to the type is searched.
In an optional implementation manner, the uploading module includes:
the first determining unit is used for determining the latest uploading moment of the data of the type uploaded to the cloud end in the history process;
a second determining unit, configured to determine a time to be uploaded of the data to be uploaded according to the latest uploading time and the uploading cycle;
and the uploading unit is used for uploading the data to be uploaded to the intelligent cloud at the moment to be uploaded.
In an optional implementation manner, the first determining unit is specifically configured to include: and searching the latest uploading time corresponding to the category in a second corresponding relation between the category of the data and the latest uploading time of the data.
In an optional implementation manner, the uploading module further includes:
the acquisition unit is used for acquiring the uploading time when the data to be uploaded is uploaded to the intelligent cloud based on the uploading cycle;
and the updating unit is used for updating the latest uploading time corresponding to the type in the second corresponding relation based on the acquired uploading time.
In the prior art, medical data generated by a medical instrument in the operation process is not classified, the uploading periods of all data are the same, for example, all data are uploaded in real time or are uploaded on the second day, however, the requirement on timeliness of some data of an intelligent cloud end is higher, a client needs to upload the data to an intelligent cloud end in real time, uploading only on the second day can cause lower timeliness, the requirement on timeliness of some data of the intelligent cloud end is lower, the client can upload the data to the intelligent cloud end in non-real time, the data statistics of the previous day is completed on the second day and then is packaged and uploaded, otherwise, network resources are wasted by uploading for multiple times.
In the application, data to be uploaded, which are generated in the operation process of the medical instrument and need to be uploaded to the intelligent cloud, are acquired; acquiring the type of data to be uploaded; determining an upload period of the category of data; and uploading data to be uploaded to the intelligent cloud based on the uploading period. The data that this application produced through with medical instrument at the operation in-process is categorised, and sets up the upload cycle of each kind of data respectively according to the demand, then uploads data to intelligent high in the clouds based on uploading. So, the upload demand of each kind of data can be satisfied in this application, for example, can upload in real time to the higher data of requirement of ageing, has improved ageing, and the lower data of requirement of ageing for some can not upload to the intelligent high in the clouds in real time, later unified packing upload to network resource can be saved.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The method and the device for uploading medical data provided by the present application are introduced in detail, and a specific example is applied in the text to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (14)
1. A method for uploading medical data, which is applied to a client installed on a medical instrument, the method comprising:
acquiring data to be uploaded, which is generated in the operation process of a medical instrument and needs to be uploaded to an intelligent cloud;
acquiring the type of the data to be uploaded;
determining an upload period of the category of data;
and uploading the data to be uploaded to an intelligent cloud based on the uploading period.
2. The method according to claim 1, characterized in that said categories comprise at least: the material consumption class, the warning class, the error class, the debugging class, the calibration quality control class and the experiment result class.
3. The method of claim 1, wherein the determining the upload period of the category of data comprises:
in a first corresponding relation between the type of the data and the uploading period of the data, the uploading period corresponding to the type is searched.
4. The method of claim 1, wherein uploading the data to be uploaded to a smart cloud based on the upload cycle comprises:
determining the latest uploading moment of the data of the type uploaded to the cloud end in the history process;
determining the time to be uploaded of the data to be uploaded according to the latest uploading time and the uploading period;
and uploading the data to be uploaded to an intelligent cloud at the moment of the data to be uploaded.
5. The method of claim 4, wherein determining a most recent upload time at which the category of data was last uploaded to the cloud during the historical process comprises:
and searching the latest uploading time corresponding to the category in a second corresponding relation between the category of the data and the latest uploading time of the data.
6. The method of claim 5, further comprising:
acquiring uploading time when the data to be uploaded is uploaded to an intelligent cloud based on the uploading period;
and updating the latest uploading time corresponding to the category in the second corresponding relationship based on the acquired uploading time.
7. An apparatus for uploading medical data, applied to a client installed on a medical instrument, the apparatus comprising:
the first acquisition module is used for acquiring data to be uploaded, which are generated in the operation process of the medical instrument and need to be uploaded to the intelligent cloud;
the second acquisition module is used for acquiring the type of the data to be uploaded;
the determining module is used for determining the uploading period of the data of the category;
and the uploading module is used for uploading the data to be uploaded to the intelligent cloud based on the uploading cycle.
8. The apparatus of claim 7, wherein the categories include at least: the material consumption class, the warning class, the error class, the debugging class, the calibration quality control class and the experiment result class.
9. The apparatus according to claim 7, wherein the determining module is specifically configured to search, in the first correspondence between the category of the data and the upload cycle of the data, for the upload cycle corresponding to the category.
10. The apparatus of claim 7, wherein the upload module comprises:
the first determining unit is used for determining the latest uploading moment of the data of the type uploaded to the cloud end in the history process;
a second determining unit, configured to determine a time to be uploaded of the data to be uploaded according to the latest uploading time and the uploading cycle;
and the uploading unit is used for uploading the data to be uploaded to the intelligent cloud at the moment to be uploaded.
11. The apparatus according to claim 10, wherein the first determining unit is specifically configured to include: and searching the latest uploading time corresponding to the category in a second corresponding relation between the category of the data and the latest uploading time of the data.
12. The apparatus of claim 11, wherein the upload module further comprises:
the acquisition unit is used for acquiring the uploading time when the data to be uploaded is uploaded to the intelligent cloud based on the uploading cycle;
and the updating unit is used for updating the latest uploading time corresponding to the type in the second corresponding relation based on the acquired uploading time.
13. A client comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor when executing the program implements the steps of the method for uploading medical data according to any of claims 1 to 6.
14. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when being executed by a processor, carries out the steps of the method for uploading medical data according to any one of claims 1 to 6.
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