CN113284571A - Medical platform management method and device based on big data and cloud computing and server - Google Patents

Medical platform management method and device based on big data and cloud computing and server Download PDF

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Publication number
CN113284571A
CN113284571A CN202011333917.5A CN202011333917A CN113284571A CN 113284571 A CN113284571 A CN 113284571A CN 202011333917 A CN202011333917 A CN 202011333917A CN 113284571 A CN113284571 A CN 113284571A
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Prior art keywords
data
patient
visit
hospitalized
classification
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CN202011333917.5A
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陈志明
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Changshu Youle Intelligent Technology Co ltd
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Changshu Youle Intelligent Technology Co ltd
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Priority to CN202011333917.5A priority Critical patent/CN113284571A/en
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Data Mining & Analysis (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

According to the medical platform management method, device and server based on big data and cloud computing, first visit data of an intelligent medical platform are obtained; extracting visit patient data from the first visit data, wherein the visit patient data comprises: hospitalized patient data and/or non-hospitalized patient data; the in-patient visit patient data includes: hospitalization data for a target session, said non-hospitalized patient data comprising: at least one of a first non-hospitalized encounter patient data set and a second non-hospitalized encounter patient data set; judging whether the intelligent medical platform has data classification requirements or not according to the inpatient data and/or the non-inpatient data; and if so, finishing data classification based on the data classification thread. By the design, data classification of the intelligent medical platform can be realized.

Description

Medical platform management method and device based on big data and cloud computing and server
Technical Field
The invention relates to the technical field of big data and treatment, in particular to a medical platform management method, a medical platform management device and a medical platform management server based on big data and cloud computing.
Background
The intelligent medical platform may involve treatment data processing for multiple treatment patients at runtime.
Therefore, how to realize data classification of the intelligent medical platform is a technical problem to be solved at the present stage.
Disclosure of Invention
In order to solve the problems, the invention provides a medical platform management method, a medical platform management device and a medical platform management server based on big data and cloud computing.
A medical platform management method based on big data and cloud computing comprises the following steps:
acquiring first medical treatment data of the intelligent medical platform; extracting visit patient data from the first visit data, wherein the visit patient data comprises: hospitalized patient data and/or non-hospitalized patient data; the in-patient visit patient data includes: hospitalization data for a target session, said non-hospitalized patient data comprising: at least one of a first non-hospitalized encounter patient data set and a second non-hospitalized encounter patient data set;
judging whether the intelligent medical platform has data classification requirements or not according to the inpatient data and/or the non-inpatient data;
and if so, finishing data classification based on the data classification thread.
Wherein the completing data classification based on the data classification thread comprises: triggering execution data classification starting operation to acquire second visit data based on the data classification thread; determining whether the patient data extracted from the second visit data has a data classification requirement; and if so, triggering to execute data classification confirmation operation so as to finish data classification based on the configuration information of the intelligent production equipment corresponding to the intelligent medical platform.
Wherein the determining whether the patient data extracted from the second visit data has a data classification requirement comprises: judging whether the working condition identification corresponding to the second visit data is consistent with the working condition identification of the intelligent medical platform or not; and if so, judging whether the patient data extracted from the second visit data has data classification requirements.
A big data and cloud computing based medical platform management apparatus, comprising:
the data acquisition module is used for acquiring first medical treatment data of the intelligent medical platform; extracting visit patient data from the first visit data, wherein the visit patient data comprises: hospitalized patient data and/or non-hospitalized patient data; the in-patient visit patient data includes: hospitalization data for a target session, said non-hospitalized patient data comprising: at least one of a first non-hospitalized encounter patient data set and a second non-hospitalized encounter patient data set;
the requirement judging module is used for judging whether the intelligent medical platform has data classification requirements or not according to the inpatient data and/or the non-inpatient data;
and the data classification module is used for finishing data classification based on the data classification thread if the judgment result is yes.
A server, a processor in the server being operable to perform the method described above.
By applying the method, the device and the server, first visit data of the intelligent medical platform are acquired; extracting visit patient data from the first visit data, wherein the visit patient data comprises: hospitalized patient data and/or non-hospitalized patient data; the in-patient visit patient data includes: hospitalization data for a target session, said non-hospitalized patient data comprising: at least one of a first non-hospitalized encounter patient data set and a second non-hospitalized encounter patient data set; judging whether the intelligent medical platform has data classification requirements or not according to the inpatient data and/or the non-inpatient data; and if so, finishing data classification based on the data classification thread. By the design, data classification of the intelligent medical platform can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a medical platform management method based on big data and cloud computing according to an embodiment of the present invention.
Fig. 2 is a functional module block diagram of a medical platform management device based on big data and cloud computing according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a hardware structure of a server according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
Referring to fig. 1, a big data and cloud computing-based medical platform management method applied to a server is shown, which includes the following steps S11-S13.
Step S11, acquiring first medical data of the intelligent medical platform; visit patient data is extracted from the first visit data.
Wherein the visit patient data comprises: hospitalized patient data and/or non-hospitalized patient data; the in-patient visit patient data includes: hospitalization data for a target session, said non-hospitalized patient data comprising: at least one of the first non-hospitalized encounter patient data set and the second non-hospitalized encounter patient data set.
Step S12, judging whether the intelligent medical platform has data classification requirements according to the inpatient data and/or the non-inpatient data.
In step S13, if the determination result is yes, the data classification is completed based on the data classification thread.
Wherein the completing data classification based on the data classification thread comprises: triggering execution data classification starting operation to acquire second visit data based on the data classification thread; determining whether the patient data extracted from the second visit data has a data classification requirement; and if so, triggering to execute data classification confirmation operation so as to finish data classification based on the configuration information of the intelligent production equipment corresponding to the intelligent medical platform.
Wherein the determining whether the patient data extracted from the second visit data has a data classification requirement comprises: judging whether the working condition identification corresponding to the second visit data is consistent with the working condition identification of the intelligent medical platform or not; and if so, judging whether the patient data extracted from the second visit data has data classification requirements.
Referring to fig. 2, a big data and cloud computing based medical platform management apparatus 200 is shown, comprising:
the data acquisition module 210 is configured to acquire first visit data of the smart medical platform; extracting visit patient data from the first visit data, wherein the visit patient data comprises: hospitalized patient data and/or non-hospitalized patient data; the in-patient visit patient data includes: hospitalization data for a target session, said non-hospitalized patient data comprising: at least one of a first non-hospitalized encounter patient data set and a second non-hospitalized encounter patient data set;
the requirement judging module 220 is configured to judge whether the intelligent medical platform has a data classification requirement according to the in-patient data and/or the non-in-patient data;
and the data classification module 230 is configured to complete data classification based on the data classification thread if the determination result is yes.
Fig. 3 is a block diagram illustrating a server 110 according to an embodiment of the present invention. The server 110 in the embodiment of the present invention may be a server with data storage, transmission, and processing functions, as shown in fig. 3, the server 110 includes: memory 111, processor 112, network module 113, and big data and cloud computing based medical platform management device 200.
The memory 111, the processor 112, and the network module 113 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 111 stores the big data and cloud computing based medical platform management device 200, the big data and cloud computing based medical platform management device 200 includes at least one software function module which can be stored in the memory 111 in a form of software or firmware (firmware), and the processor 112 executes various function applications and data processing by running software programs and modules stored in the memory 111, such as the big data and cloud computing based medical platform management device 200 in the embodiment of the present invention, so as to implement the big data and cloud computing based medical platform management method in the embodiment of the present invention.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used for storing a program, and the processor 112 executes the program after receiving the execution instruction.
The processor 112 may be an integrated circuit chip having data processing capabilities. The Processor 112 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 113 is configured to establish a communication connection between the server 110 and other communication terminal intelligent production devices through a network, so as to implement transceiving operations of network signals and data. The network signal may include a wireless signal or a wired signal.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that server 110 may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
An embodiment of the present invention also provides a computer-readable storage medium, which includes a computer program. The computer program controls the server 110 on which the readable storage medium is executed to perform the above-mentioned method.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer smart production apparatus (which may be a personal computer, an electronic smart production apparatus 10, or a network smart production apparatus, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or intelligent production apparatus 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 intelligent production apparatus. 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 intelligent production facility that includes the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (5)

1. A medical platform management method based on big data and cloud computing comprises the following steps:
acquiring first medical treatment data of the intelligent medical platform; extracting visit patient data from the first visit data, wherein the visit patient data comprises: hospitalized patient data and/or non-hospitalized patient data; the in-patient visit patient data includes: hospitalization data for a target session, said non-hospitalized patient data comprising: at least one of a first non-hospitalized encounter patient data set and a second non-hospitalized encounter patient data set;
judging whether the intelligent medical platform has data classification requirements or not according to the inpatient data and/or the non-inpatient data;
and if so, finishing data classification based on the data classification thread.
2. The method of claim 1, wherein the data classification based thread completes data classification comprising: triggering execution data classification starting operation to acquire second visit data based on the data classification thread; determining whether the patient data extracted from the second visit data has a data classification requirement; and if so, triggering to execute data classification confirmation operation so as to finish data classification based on the configuration information of the intelligent production equipment corresponding to the intelligent medical platform.
3. The method of claim 2, wherein said determining whether the patient data extracted from the second encounter data has data classification requirements comprises: judging whether the working condition identification corresponding to the second visit data is consistent with the working condition identification of the intelligent medical platform or not; and if so, judging whether the patient data extracted from the second visit data has data classification requirements.
4. A big data and cloud computing based medical platform management apparatus, comprising:
the data acquisition module is used for acquiring first medical treatment data of the intelligent medical platform; extracting visit patient data from the first visit data, wherein the visit patient data comprises: hospitalized patient data and/or non-hospitalized patient data; the in-patient visit patient data includes: hospitalization data for a target session, said non-hospitalized patient data comprising: at least one of a first non-hospitalized encounter patient data set and a second non-hospitalized encounter patient data set;
the requirement judging module is used for judging whether the intelligent medical platform has data classification requirements or not according to the inpatient data and/or the non-inpatient data;
and the data classification module is used for finishing data classification based on the data classification thread if the judgment result is yes.
5. A server, a processor in the server being operable to perform the method of any of the preceding claims 1-3.
CN202011333917.5A 2020-11-25 2020-11-25 Medical platform management method and device based on big data and cloud computing and server Withdrawn CN113284571A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011333917.5A CN113284571A (en) 2020-11-25 2020-11-25 Medical platform management method and device based on big data and cloud computing and server

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011333917.5A CN113284571A (en) 2020-11-25 2020-11-25 Medical platform management method and device based on big data and cloud computing and server

Publications (1)

Publication Number Publication Date
CN113284571A true CN113284571A (en) 2021-08-20

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Country Status (1)

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CN (1) CN113284571A (en)

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