CN113903463A - Practitioner health data monitoring method and device - Google Patents

Practitioner health data monitoring method and device Download PDF

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Publication number
CN113903463A
CN113903463A CN202011271201.7A CN202011271201A CN113903463A CN 113903463 A CN113903463 A CN 113903463A CN 202011271201 A CN202011271201 A CN 202011271201A CN 113903463 A CN113903463 A CN 113903463A
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China
Prior art keywords
health
index data
data
health index
practitioner
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Withdrawn
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CN202011271201.7A
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Chinese (zh)
Inventor
后俊
付传明
张懿
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Changshu Feimeng Information Technology Co Ltd
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Changshu Feimeng Information Technology Co Ltd
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Priority to CN202011271201.7A priority Critical patent/CN113903463A/en
Publication of CN113903463A publication Critical patent/CN113903463A/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
    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • 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)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

According to the health data monitoring method and device for the workers, first health index data of the workers to be monitored in a first health monitoring time period are obtained firstly, second health index data of the workers to be monitored in a second health monitoring time period corresponding to a target monitoring scene are obtained secondly, the second health index data are matched with the first health index data, and then health index data correction is carried out on the target monitoring scene according to the first health index data and the second health index data. Therefore, the health data monitoring accuracy of the practitioner can be improved.

Description

Practitioner health data monitoring method and device
Technical Field
The invention relates to the technical field of data monitoring, in particular to a method and a device for monitoring health data of workers.
Background
In order to ensure normal rework and reproduction of enterprises, health assessment needs to be performed on practitioners. However, the existing technology for monitoring health data of a practitioner is low in accuracy.
Disclosure of Invention
In order to solve the above problems, the present invention provides a health data monitoring method and device for a practitioner.
A practitioner health data monitoring method, comprising:
acquiring first health index data of a practitioner to be monitored in a first health monitoring period;
acquiring second health index data of the practitioner to be monitored in a second health monitoring time period corresponding to a target monitoring scene, wherein the second health index data is matched with the first health index data;
and correcting the health index data of the target monitoring scene according to the first health index data and the second health index data.
Further, the obtaining of the first health index data of the practitioner to be monitored in the first health monitoring period includes: acquiring first dynamic health index data of a practitioner to be monitored in a first health monitoring period; the obtaining of the second health index data of the practitioner to be monitored in the second health monitoring period corresponding to the target monitoring scene includes: acquiring second dynamic health index data of the practitioner to be monitored in a second health monitoring time period corresponding to a target monitoring scene; the correcting the health index data of the target monitoring scene according to the first health index data and the second health index data comprises: and correcting the health index data of the target monitoring scene according to the first dynamic health index data and the second dynamic health index data.
Further, the performing health index data modification on the target monitoring scene according to the first dynamic health index data and the second dynamic health index data includes: obtaining a feature weight distribution of at least two indicator features on the first dynamic health indicator data; obtaining field weight distributions of at least two data fields on the second dynamic health indicator data; and correcting the health index data of the target monitoring scene according to the characteristic weight distribution of the at least two index characteristics, the field weight distribution of the at least two data fields and the monitoring analysis model corresponding to the second dynamic health index data.
A practitioner health data monitoring device comprising:
the system comprises a first data acquisition module, a second data acquisition module and a monitoring module, wherein the first data acquisition module is used for acquiring first health index data of a practitioner to be monitored in a first health monitoring period;
the second data acquisition module is used for acquiring second health index data of the practitioner to be monitored in a second health monitoring time period corresponding to a target monitoring scene, and the second health index data is matched with the first health index data;
and the index data correction module is used for correcting the health index data of the target monitoring scene according to the first health index data and the second health index data.
By applying the method and the device, first health index data of a practitioner to be monitored in a first health monitoring time interval are obtained firstly, second health index data of the practitioner to be monitored in a second health monitoring time interval corresponding to a target monitoring scene are obtained secondly, the second health index data are matched with the first health index data, and then health index data correction is carried out on the target monitoring scene according to the first health index data and the second health index data. Therefore, the health data monitoring accuracy of the practitioner can be improved.
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 health data monitoring method for a practitioner according to an embodiment of the present invention.
Fig. 2 is a functional block diagram of a health data monitoring device for a practitioner 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 health data monitoring method for a practitioner is shown, applied to a server, and includes the following steps S11-S13.
Step S11, obtaining first health index data of the staff to be monitored in the first health monitoring time period.
Step S12, obtaining second health index data of the practitioner to be monitored in a second health monitoring time period corresponding to the target monitoring scenario, where the second health index data matches with the first health index data.
Step S13, correcting the health index data of the target monitoring scene according to the first health index data and the second health index data.
By applying the above steps S11-S13, first health index data of a practitioner to be monitored in a first health monitoring period is obtained, second health index data of the practitioner to be monitored in a second health monitoring period corresponding to a target monitoring scene is obtained, the second health index data is matched with the first health index data, and then health index data correction is performed on the target monitoring scene according to the first health index data and the second health index data. Therefore, the health data monitoring accuracy of the practitioner can be improved.
Further, the obtaining of the first health index data of the practitioner to be monitored in the first health monitoring period includes: acquiring first dynamic health index data of a practitioner to be monitored in a first health monitoring period; the obtaining of the second health index data of the practitioner to be monitored in the second health monitoring period corresponding to the target monitoring scene includes: acquiring second dynamic health index data of the practitioner to be monitored in a second health monitoring time period corresponding to a target monitoring scene; the correcting the health index data of the target monitoring scene according to the first health index data and the second health index data comprises: and correcting the health index data of the target monitoring scene according to the first dynamic health index data and the second dynamic health index data.
Further, the performing health index data modification on the target monitoring scene according to the first dynamic health index data and the second dynamic health index data includes: obtaining a feature weight distribution of at least two indicator features on the first dynamic health indicator data; obtaining field weight distributions of at least two data fields on the second dynamic health indicator data; and correcting the health index data of the target monitoring scene according to the characteristic weight distribution of the at least two index characteristics, the field weight distribution of the at least two data fields and the monitoring analysis model corresponding to the second dynamic health index data.
As shown in fig. 2, there is provided a practitioner health data monitoring device 200 comprising:
the first data acquisition module 210 is configured to acquire first health index data of a practitioner to be monitored in a first health monitoring period;
a second data obtaining module 220, configured to obtain second health indicator data of the practitioner to be monitored in a second health monitoring time period corresponding to a target monitoring scenario, where the second health indicator data is matched with the first health indicator data;
and an index data correction module 230, configured to correct the health index data of the target monitoring scene according to the first health index data and the second health index data.
Referring to fig. 3, a hardware block diagram of the server 110 is provided.
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 practitioner health data monitoring 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 therein a health data monitoring device 200 for a practitioner, the health data monitoring device 200 for a practitioner includes at least one software functional module which can be stored in the memory 111 in the form of software or firmware (firmware), and the processor 112 executes various functional applications and data processing by running a software program and a module stored in the memory 111, such as the health data monitoring device 200 for a practitioner in the embodiment of the present invention, so as to implement the health data monitoring method for a practitioner 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 used for establishing communication connection between the server 110 and other communication terminal devices through a network, and implementing transceiving operation 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 may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server 100, or a network device) 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 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises 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 (4)

1. A practitioner health data monitoring method, comprising:
acquiring first health index data of a practitioner to be monitored in a first health monitoring period;
acquiring second health index data of the practitioner to be monitored in a second health monitoring time period corresponding to a target monitoring scene, wherein the second health index data is matched with the first health index data;
and correcting the health index data of the target monitoring scene according to the first health index data and the second health index data.
2. The method of claim 1, wherein obtaining first health indicator data for a practitioner to be monitored during a first health monitoring session comprises: acquiring first dynamic health index data of a practitioner to be monitored in a first health monitoring period; the obtaining of the second health index data of the practitioner to be monitored in the second health monitoring period corresponding to the target monitoring scene includes: acquiring second dynamic health index data of the practitioner to be monitored in a second health monitoring time period corresponding to a target monitoring scene; the correcting the health index data of the target monitoring scene according to the first health index data and the second health index data comprises: and correcting the health index data of the target monitoring scene according to the first dynamic health index data and the second dynamic health index data.
3. The method of claim 2, wherein the modifying the target monitoring scenario for health indicator data based on the first and second dynamic health indicator data comprises: obtaining a feature weight distribution of at least two indicator features on the first dynamic health indicator data; obtaining field weight distributions of at least two data fields on the second dynamic health indicator data; and correcting the health index data of the target monitoring scene according to the characteristic weight distribution of the at least two index characteristics, the field weight distribution of the at least two data fields and the monitoring analysis model corresponding to the second dynamic health index data.
4. A practitioner health data monitoring device, comprising:
the system comprises a first data acquisition module, a second data acquisition module and a monitoring module, wherein the first data acquisition module is used for acquiring first health index data of a practitioner to be monitored in a first health monitoring period;
the second data acquisition module is used for acquiring second health index data of the practitioner to be monitored in a second health monitoring time period corresponding to a target monitoring scene, and the second health index data is matched with the first health index data;
and the index data correction module is used for correcting the health index data of the target monitoring scene according to the first health index data and the second health index data.
CN202011271201.7A 2020-11-13 2020-11-13 Practitioner health data monitoring method and device Withdrawn CN113903463A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011271201.7A CN113903463A (en) 2020-11-13 2020-11-13 Practitioner health data monitoring method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011271201.7A CN113903463A (en) 2020-11-13 2020-11-13 Practitioner health data monitoring method and device

Publications (1)

Publication Number Publication Date
CN113903463A true CN113903463A (en) 2022-01-07

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011271201.7A Withdrawn CN113903463A (en) 2020-11-13 2020-11-13 Practitioner health data monitoring method and device

Country Status (1)

Country Link
CN (1) CN113903463A (en)

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