CN110660461A - Cross-platform medical data information uploading system based on artificial intelligence - Google Patents

Cross-platform medical data information uploading system based on artificial intelligence Download PDF

Info

Publication number
CN110660461A
CN110660461A CN201910896921.3A CN201910896921A CN110660461A CN 110660461 A CN110660461 A CN 110660461A CN 201910896921 A CN201910896921 A CN 201910896921A CN 110660461 A CN110660461 A CN 110660461A
Authority
CN
China
Prior art keywords
data
robot
artificial intelligence
module
intelligent robot
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910896921.3A
Other languages
Chinese (zh)
Other versions
CN110660461B (en
Inventor
冯剑涛
何耀德
黄幸青
曹帅
李凌云
陈贤志
黄晓明
钟秋怡
杨学谦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Shen Ming Information Technology Co Ltd
Cardiovascular Disease Institute of Guangzhou Panyu Central Hospital
Original Assignee
Guangzhou Shen Ming Information Technology Co Ltd
Cardiovascular Disease Institute of Guangzhou Panyu Central Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Shen Ming Information Technology Co Ltd, Cardiovascular Disease Institute of Guangzhou Panyu Central Hospital filed Critical Guangzhou Shen Ming Information Technology Co Ltd
Priority to CN201910896921.3A priority Critical patent/CN110660461B/en
Publication of CN110660461A publication Critical patent/CN110660461A/en
Application granted granted Critical
Publication of CN110660461B publication Critical patent/CN110660461B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/258Data format conversion from or to a database
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT 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
    • G16H40/20ICT 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 management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Medical Informatics (AREA)
  • Epidemiology (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The invention relates to a cross-platform medical data information uploading system based on artificial intelligence, which comprises a database system, an artificial intelligence robot and a login reporting system, wherein a data original system comprises an HIS (human intelligence system), a target file and a target webpage; the artificial intelligent robot comprises a data reading module, a data processing module, a login module, a data filling module, a judgment module and a mail sending module; the data filling module is used for positioning a mouse in a target file through a windows api SetCursorPos function; sending a mouse down left key and a put-up event through an api interface mouse _ event of windows, wherein the right key is consistent with the left key; and sending some character information through the windows api keybd _ event, and opening a website and entering a corresponding page needing to be filled with data by using the character information. The invention has the advantages that: data transmission between two systems without interfaces is realized; multiple data acquisition approaches; the workload of reporting personnel is reduced, and the reporting error rate is reduced; the method is operated by simulating manpower, does not belong to a crawler technology, and cannot be checked.

Description

Cross-platform medical data information uploading system based on artificial intelligence
Technical Field
The invention relates to the technical field of medical data acquisition, in particular to a cross-platform medical data information uploading system based on artificial intelligence.
Background
At present, the professional relevant medical quality information data of each hospital is generally carried out by adopting a paper filling, mail reporting or investigation mode. The information is collected in a paper or mail reporting mode, so that the information is difficult to gather and sort, and the information can be effectively analyzed and utilized only by arranging and inputting the data by special personnel. Since the medical quality control indexes of each specialty are different, the medical specialties set by each hospital are also different, and the network system for collecting data is difficult to cover all hospitals and all specialties, which is not beneficial to effectively managing and utilizing the data of each speciality.
The problem that when data are read, a data source is required to open a port to read the data, if a developer of a data source system does not want to open the port or needs a large amount of capital to develop the data, the development process is slowed down, the cost is high, the data are reported to a reporting system in a background mode at present, and the mode is detected to be non-human operation by a reporting system background and can block IP.
Disclosure of Invention
The invention provides a cross-platform medical data information uploading system based on artificial intelligence to solve the problems.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a cross-platform medical data information uploading system based on artificial intelligence comprises a database system, an artificial intelligence robot and a login reporting system, wherein a data original system comprises an HIS (human intelligence system), a target file and a target webpage; the target file refers to a file containing target data, and the target data refers to data which needs to be read and reported.
The artificial intelligent robot comprises a data reading module, a data processing module, a login module, a data filling module, a judgment module and a mail sending module;
the login reporting system links the login module.
The artificial intelligence robot has many ways of acquiring data, and can read data from a database of an HIS system, read data from an Excel table, acquire data from a webpage and the like, and sets different reading ways according to different conditions so as to acquire target data, wherein the data reading module comprises: reading data from the HIS system, namely, giving a path to the artificial intelligent robot, automatically inquiring and importing a database file of the path by the artificial intelligent robot, screening target data, and storing the target data into the artificial intelligent robot;
reading data from the target file, namely, calling a path and a name, calling a createoleobject function of Delphi to obtain an ole object, and calling an interface of the target file through the ole object to operate the target file;
data is read from a target webpage by searching characteristic attributes such as id, name and css, so that positioning is carried out, and the target data can be obtained after the position is determined.
The artificial intelligent robot supports text replacement, mode-based replacement, case-to-case conversion, blank space deletion, non-printed character deletion, character string creation, sub-character string acquisition, character string search, inserted or extracted special characters and character string operation;
supporting the use of JavaScript to execute self-defined character string conversion processing operation;
the extraction, conversion and formatting operations of digital type data are supported;
arithmetic operation is supported (almost all mathematical operators are supported), rounding is carried out, and operations such as maximum/minimum values are taken;
enable (e.g., specifying decimal and kilobit separators, specifying decimal digits) operations that support numeric format mode applications;
the data extraction, conversion, calculation and formatting operations of date/time type data are supported;
support operations to extract date or time elements (e.g., year, day, or hour of date obtained) from date type data;
the operation is not stopped for 12 hours or 24 hours;
the operation of setting a working time zone when extracting the date and time is supported;
support for convenient date calculation processing (e.g., modifying dates or calculating time between dates) operations;
the method supports the operation of acquiring the current date, time, week and the like at any point in the robot processing;
support formatting date/time data operations in various ways;
the method supports the quasi date/time data operation of automatically extracting date/time data from a website and calculating or displaying the quasi date/time data of 3 hours ago or 2 days ago;
the extraction and conversion operation of HTML format data is supported;
the processing power to support any of the above listed "strings" is also generally applicable to HTML operations;
supporting all types of specific HTML tag operations that remove a given HTML string;
the number operation of special tags in the HTML character string is supported;
supporting data conversion operation based on logic rules;
supporting logical structure operations that enable an unlimited number of if-then/else; a
Supporting other conversion processing capacity operations;
the artificial intelligence robot can convert various types of data (such as interconversion of character strings and date types);
the artificial intelligence robot can generate random numbers;
the artificial intelligent robot can calculate the MD5 check code of input data and export robot data;
sending the mail through an SMTP server, and dynamically generating the content and the receiver of the mail;
the artificial intelligence robot can send an email containing the attachment;
the artificial intelligent robot can read and write files in the file system;
the artificial intelligent robot can simulate manual work to fill forms in the webpage and can dynamically process page input elements;
the artificial intelligent robot can dynamically traverse the drop-down frame and the radio button group;
the artificial intelligence robot can write data into text files in various formats, including XML, JSON, CSV format and the like
The data filling module is used for positioning a mouse in a target file through a windows api SetCursorPos function;
sending a mouse down left key and a put-up event through an api interface mouse _ event of windows, wherein the right key is consistent with the left key;
sending some character information through an api interface keybd _ event of the windows, and opening a website and entering a corresponding page needing to be filled with data by using the character information; and then the data in the artificial intelligent robot is filled in a one-to-one corresponding mode. Compared with the prior art, the operation is carried out in a manual-simulated mode by controlling the virtual keyboard and mouse instead of the background login operation, so that the abnormal operation cannot be found out by the reporting system and is forbidden.
The mail sending module calls the library of the email in python to complete the corresponding function, and then the Pascal calls the function. The method has the advantages that when the robot runs perfectly, a mail is sent to a user, if the robot does not run perfectly, a warning is sent to the user, and therefore the user knows whether the robot runs completely or not.
The configuration of the artificial intelligent robot comprises the following steps:
if the page of the accessed website is overtime, the robot can perform a plurality of attempts and can wait for a specified period of time between the two attempts;
the website of the advertisement content is not loaded by the artificial intelligent robot under the default condition, and can be started or closed through configuration;
the artificial intelligent robot can be configured not to load some websites matched with a specific website mode;
the artificial intelligent robot can be configured to only load certain websites matched with a specific website mode;
whether the artificial intelligence robot ignores the CSS style sheet can be configured;
whether the Frame is loaded by the artificial intelligent robot can be configured;
whether the artificial intelligence robot allows the metadata to redirect can be configured;
whether the artificial intelligence robot ignores the JavaScript event can be configured;
the artificial intelligence robot can selectively ignore any errors encountered (e.g., missing or invalid JavaScript scripts) when loading the page.
The invention has the advantages that: 1. data transmission between two systems without interfaces can be realized;
2. multiple data acquisition approaches;
3. the workload of reporting personnel is reduced, and the reporting error rate is reduced;
4. the method is operated by manpower, does not belong to a crawler technology, and cannot be checked;
5. automatically transcribing the data;
6. and realizing the automatic reporting of the data to the corresponding system.
Drawings
Fig. 1 is a schematic block diagram of a cross-platform medical data information uploading system based on artificial intelligence.
Fig. 2 is an operation flowchart of an artificial intelligence robot of the cross-platform medical data information uploading system based on artificial intelligence.
Fig. 3 is a flowchart illustrating the operation of an embodiment of the cross-platform medical data information uploading system based on artificial intelligence.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
A cross-platform medical data information uploading system based on artificial intelligence comprises a database system, an artificial intelligence robot and a login reporting system, wherein a data original system comprises an HIS (human intelligence system), a target file and a target webpage;
the artificial intelligent robot comprises a data reading module, a data processing module, a login module, a data filling module, a judgment module and a mail sending module;
the login reporting system links the login module.
The data reading module comprises: reading data from the HIS system, namely, giving a path to the artificial intelligent robot, automatically inquiring and importing a database file of the path by the artificial intelligent robot, screening target data, and storing the target data into the artificial intelligent robot;
reading data from the target file, namely, a path and a name are read, a createoleobject function of Pascal is called to obtain an ole object, and an interface of the target file is called through the ole object to operate the target file;
data is read from a target webpage by searching characteristic attributes such as id, name and css, so that positioning is carried out, and the target data can be obtained after the position is determined.
The artificial intelligent robot supports text replacement, mode-based replacement, case-to-case conversion, blank space deletion, non-printed character deletion, character string creation, sub-character string acquisition, character string search, inserted or extracted special characters and character string operation;
supporting the use of JavaScript to execute self-defined character string conversion processing operation;
the extraction, conversion and formatting operations of digital type data are supported;
arithmetic operation is supported (almost all mathematical operators are supported), rounding is carried out, and operations such as maximum/minimum values are taken;
enable (e.g., specifying decimal and kilobit separators, specifying decimal digits) operations that support numeric format mode applications;
the data extraction, conversion, calculation and formatting operations of date/time type data are supported;
support operations to extract date or time elements (e.g., year, day, or hour of date obtained) from date type data;
the continuous operation of 12 hours system or 24 hours system is supported;
the operation of setting a working time zone when extracting the date and time is supported;
support for convenient date calculation processing (e.g., modifying dates or calculating time between dates) operations;
the method supports the operation of acquiring the current date, time, week and the like at any point in the robot processing;
support formatting date/time data operations in various ways;
the method supports the quasi date/time data operation of automatically extracting date/time data from a website and calculating or displaying the quasi date/time data of 3 hours ago or 2 days ago;
the extraction and conversion operation of HTML format data is supported;
the processing power to support any of the above listed "strings" is also generally applicable to HTML operations;
supporting all types of specific HTML tag operations that remove a given HTML string;
the number operation of special tags in the HTML character string is supported;
supporting data conversion operation based on logic rules;
supporting logical structure operations that enable an unlimited number of if-then/else; a
Supporting other conversion processing capacity operations;
the artificial intelligence robot can convert various types of data (such as interconversion of character strings and date types);
the artificial intelligence robot can generate random numbers;
the artificial intelligent robot can calculate the MD5 check code of input data and export robot data;
sending the mail through an SMTP server, and dynamically generating the content and the receiver of the mail;
the artificial intelligence robot can send an email containing the attachment;
the artificial intelligent robot can read and write files in the file system;
the artificial intelligent robot can simulate manual work to fill forms in the webpage and can dynamically process page input elements;
the artificial intelligent robot can dynamically traverse the drop-down frame and the radio button group;
the artificial intelligence robot can write data into text files in various formats, including XML, JSON, CSV format and the like
The data filling module is used for positioning a mouse in a target file through a windows api SetCursorPos function;
sending a mouse down left key and a put-up event through an api interface mouse _ event of windows, wherein the right key is consistent with the left key;
sending some character information through an api interface keybd _ event of the windows, and opening a website and entering a corresponding page needing to be filled with data by using the character information; and then the data in the artificial intelligent robot is filled in a one-to-one corresponding mode.
The mail sending module calls the library of the email in python to complete the corresponding function, and then the Pascal calls the function.
The configuration of the artificial intelligent robot comprises the following steps:
if the page of the accessed website is overtime, the robot can perform a plurality of attempts and can wait for a specified period of time between the two attempts;
the website of the advertisement content is not loaded by the artificial intelligent robot under the default condition, and can be started or closed through configuration;
the artificial intelligent robot can be configured not to load some websites matched with a specific website mode;
the artificial intelligent robot can be configured to only load certain websites matched with a specific website mode;
whether the artificial intelligence robot ignores the CSS style sheet can be configured;
whether the Frame is loaded by the artificial intelligent robot can be configured;
whether the artificial intelligence robot allows the metadata to redirect can be configured;
whether the artificial intelligence robot ignores the JavaScript event can be configured;
the artificial intelligence robot can selectively ignore any errors encountered (e.g., missing or invalid JavaScript scripts) when loading the page.
The specific embodiment is as follows:
the embodiment discloses an application mode of a cross-platform medical data information uploading system based on artificial intelligence in an actual situation, which can simulate repeated operation of a worker on a PC (personal computer), wherein the repeated operation of the worker on the PC comprises data reading, data processing and data reporting, and as shown in a flow chart of the system shown in FIG. 3, a main data source of the worker is an Excel form derived from a data source system, and an artificial intelligence robot is set to read the Excel form with a specific name from a certain path to acquire target data.
The specific operation is as follows:
1. starting fragment: starting to operate the robot;
2. image positioning segment, judging whether opening the page of the reporting system, if so, continuing to go down;
3. batch renaming of fragments: naming the excels to be read uniformly, so that a target file of the data to be read can be found conveniently;
4. reading Excel file fragments: reading a target file to obtain target data;
5. executing the function segment: processing the target function to obtain data to be reported;
6. inputting year, judging branch segment: dividing processed information into years and months for judgment, and selecting a reporting page of which month enters which year;
7. clicking to check and click the newly built segment: here we will judge whether to enter this reporting page for the first time; if yes, a form for reporting the page is created, and if not, the form is checked in time;
8. filling in data fragments: filling the processed data into a report page strictly according to the corresponding relation;
9. and ending the segment, namely ending the robot.
The present invention and its embodiments have been described above, and the description is not intended to be limiting, and the drawings are only one embodiment of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1. The utility model provides a cross platform medical data information uploading system based on artificial intelligence, includes database system, artificial intelligence robot and logs on and report the system, its characterized in that: the data original system comprises an HIS system, a target file and a target webpage;
the artificial intelligent robot comprises a data reading module, a data processing module, a login module, a data filling module, a judgment module and a mail sending module;
the login reporting system links the login module.
2. The cross-platform medical data information uploading system based on artificial intelligence of claim 1, wherein: the data reading module comprises: reading data from the HIS system, namely, giving a path to the artificial intelligent robot, automatically inquiring and importing a database file of the path by the artificial intelligent robot, screening target data, and storing the target data into the artificial intelligent robot;
reading data from the target file, namely, calling a path and a name, calling a createoleobject function of Delphi to obtain an ole object, and calling an interface of the target file through the ole object to operate the target file;
data is read from a target webpage by searching characteristic attributes such as id, name and css, so that positioning is carried out, and the target data can be obtained after the position is determined.
3. The cross-platform medical data information uploading system based on artificial intelligence of claim 1, wherein: the artificial intelligent robot supports text replacement, mode-based replacement, case-to-case conversion, blank space deletion, non-printed character deletion, character string creation, sub-character string acquisition, character string search, inserted or extracted special characters and character string operation;
supporting the use of JavaScript to execute self-defined character string conversion processing operation;
the extraction, conversion and formatting operations of digital type data are supported;
arithmetic operation is supported (almost all mathematical operators are supported), rounding is carried out, and operations such as maximum/minimum values are taken;
enable (e.g., specifying decimal and kilobit separators, specifying decimal digits) operations that support numeric format mode applications;
the data extraction, conversion, calculation and formatting operations of date/time type data are supported;
support operations to extract date or time elements (e.g., year, day, or hour of date obtained) from date type data;
the continuous operation of 12 hours system or 24 hours system is supported;
the operation of setting a working time zone when extracting the date and time is supported;
support for convenient date calculation processing (e.g., modifying dates or calculating time between dates) operations;
the method supports the operation of acquiring the current date, time, week and the like at any point in the robot processing;
support formatting date/time data operations in various ways;
the method supports the quasi date/time data operation of automatically extracting date/time data from a website and calculating or displaying the quasi date/time data of 3 hours ago or 2 days ago;
the extraction and conversion operation of HTML format data is supported;
the processing power to support any of the above listed "strings" is also generally applicable to HTML operations;
supporting all types of specific HTML tag operations that remove a given HTML string;
the number operation of special tags in the HTML character string is supported;
supporting data conversion operation based on logic rules;
supporting logical structure operations that enable an unlimited number of if-then/else; a
Supporting other conversion processing capacity operations;
the artificial intelligence robot can convert various types of data (such as interconversion of character strings and date types);
the artificial intelligence robot can generate random numbers;
the artificial intelligent robot can calculate the MD5 check code of input data and export robot data;
sending the mail through an SMTP server, and dynamically generating the content and the receiver of the mail;
the artificial intelligence robot can send an email containing the attachment;
the artificial intelligent robot can read and write files in the file system;
the artificial intelligent robot can simulate manual work to fill forms in the webpage and can dynamically process page input elements;
the artificial intelligent robot can dynamically traverse the drop-down frame and the radio button group;
the artificial intelligence robot can write data into text files in various formats, including XML, JSON, CSV format and the like
4. The cross-platform medical data information uploading system based on artificial intelligence of claim 1, wherein: the data filling module is used for positioning a mouse in a target file through a windows api SetCursorPos function;
sending a mouse down left key and a put-up event through an api interface mouse _ event of windows, wherein the right key is consistent with the left key;
sending some character information through an api interface keybd _ event of the windows, and opening a website and entering a corresponding page needing to be filled with data by using the character information; and then the data in the artificial intelligent robot is filled in a one-to-one corresponding mode.
5. The cross-platform medical data information uploading system based on artificial intelligence of claim 1, wherein: the mail sending module calls the library of the email in python to complete the corresponding function, and then the Pascal calls the function.
6. The cross-platform medical data information uploading system based on artificial intelligence of claim 1, wherein: the configuration of the artificial intelligent robot comprises the following steps:
if the page of the accessed website is overtime, the robot can perform a plurality of attempts and can wait for a specified period of time between the two attempts;
the website of the advertisement content is not loaded by the artificial intelligent robot under the default condition, and can be started or closed through configuration;
the artificial intelligent robot can be configured not to load some websites matched with a specific website mode;
the artificial intelligent robot can be configured to only load certain websites matched with a specific website mode;
whether the artificial intelligence robot ignores the CSS style sheet can be configured;
whether the Frame is loaded by the artificial intelligent robot can be configured;
whether the artificial intelligence robot allows the metadata to redirect can be configured;
whether the artificial intelligence robot ignores the JavaScript event can be configured;
the artificial intelligence robot can selectively ignore any errors encountered (e.g., missing or invalid JavaScript scripts) when loading the page.
CN201910896921.3A 2019-09-23 2019-09-23 Cross-platform medical data information uploading system based on artificial intelligence Active CN110660461B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910896921.3A CN110660461B (en) 2019-09-23 2019-09-23 Cross-platform medical data information uploading system based on artificial intelligence

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910896921.3A CN110660461B (en) 2019-09-23 2019-09-23 Cross-platform medical data information uploading system based on artificial intelligence

Publications (2)

Publication Number Publication Date
CN110660461A true CN110660461A (en) 2020-01-07
CN110660461B CN110660461B (en) 2023-03-24

Family

ID=69038345

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910896921.3A Active CN110660461B (en) 2019-09-23 2019-09-23 Cross-platform medical data information uploading system based on artificial intelligence

Country Status (1)

Country Link
CN (1) CN110660461B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111813747A (en) * 2020-07-09 2020-10-23 广东一一五科技股份有限公司 File batch renaming method, electronic equipment and computer readable storage medium
CN111914011A (en) * 2020-08-06 2020-11-10 上海智众医疗科技有限公司 Cross-platform data conversion method and system

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1862498A (en) * 2006-06-01 2006-11-15 无锡永中科技有限公司 Converting method of object linking and embedded object
CN101165683A (en) * 2006-10-19 2008-04-23 维豪信息技术有限公司 Heterogeneous different source different platform data integration method and exchange method
CN101452450A (en) * 2007-11-30 2009-06-10 上海市电力公司 Multiple source data conversion service method and apparatus thereof
CN102655516A (en) * 2011-03-03 2012-09-05 中国移动通信集团江苏有限公司 Generic access network-based tele-medicine method and system
CN103064827A (en) * 2013-01-16 2013-04-24 盘古文化传播有限公司 Method and device for extracting webpage content
CN104503419A (en) * 2015-01-24 2015-04-08 无锡桑尼安科技有限公司 Method used for ward data collection
CN105243108A (en) * 2015-09-24 2016-01-13 四川长虹电器股份有限公司 XBRL based intelligent reporting platform system
WO2016065352A1 (en) * 2014-10-24 2016-04-28 Baxter Corporation Englewood Automated exchange of healthcare information for fulfillment of medication doses
CN107274103A (en) * 2017-06-26 2017-10-20 广西凯之睿电力工程有限公司 A kind of online declaration management system of enterprise energy
CN108170770A (en) * 2017-12-26 2018-06-15 山东联科云计算股份有限公司 A kind of analyzing and training platform based on big data
CN108255373A (en) * 2018-01-25 2018-07-06 平安科技(深圳)有限公司 Data entry method, device, computer equipment and storage medium
CN109543086A (en) * 2018-11-23 2019-03-29 北京信息科技大学 A kind of network data acquisition and methods of exhibiting towards multi-data source
CN109741803A (en) * 2019-01-14 2019-05-10 南京大学 Medical data security cooperation system based on block chain
CN109753502A (en) * 2018-12-29 2019-05-14 山东浪潮商用系统有限公司 A kind of collecting method based on NiFi
CN109977389A (en) * 2019-04-10 2019-07-05 鼎信信息科技有限责任公司 List input method, device, computer equipment and storage medium
CN110032594A (en) * 2019-03-21 2019-07-19 厦门市美亚柏科信息股份有限公司 The data pick-up method, apparatus and storage medium of the Various database of customizable

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1862498A (en) * 2006-06-01 2006-11-15 无锡永中科技有限公司 Converting method of object linking and embedded object
CN101165683A (en) * 2006-10-19 2008-04-23 维豪信息技术有限公司 Heterogeneous different source different platform data integration method and exchange method
CN101452450A (en) * 2007-11-30 2009-06-10 上海市电力公司 Multiple source data conversion service method and apparatus thereof
CN102655516A (en) * 2011-03-03 2012-09-05 中国移动通信集团江苏有限公司 Generic access network-based tele-medicine method and system
CN103064827A (en) * 2013-01-16 2013-04-24 盘古文化传播有限公司 Method and device for extracting webpage content
WO2016065352A1 (en) * 2014-10-24 2016-04-28 Baxter Corporation Englewood Automated exchange of healthcare information for fulfillment of medication doses
CN104503419A (en) * 2015-01-24 2015-04-08 无锡桑尼安科技有限公司 Method used for ward data collection
CN105243108A (en) * 2015-09-24 2016-01-13 四川长虹电器股份有限公司 XBRL based intelligent reporting platform system
CN107274103A (en) * 2017-06-26 2017-10-20 广西凯之睿电力工程有限公司 A kind of online declaration management system of enterprise energy
CN108170770A (en) * 2017-12-26 2018-06-15 山东联科云计算股份有限公司 A kind of analyzing and training platform based on big data
CN108255373A (en) * 2018-01-25 2018-07-06 平安科技(深圳)有限公司 Data entry method, device, computer equipment and storage medium
CN109543086A (en) * 2018-11-23 2019-03-29 北京信息科技大学 A kind of network data acquisition and methods of exhibiting towards multi-data source
CN109753502A (en) * 2018-12-29 2019-05-14 山东浪潮商用系统有限公司 A kind of collecting method based on NiFi
CN109741803A (en) * 2019-01-14 2019-05-10 南京大学 Medical data security cooperation system based on block chain
CN110032594A (en) * 2019-03-21 2019-07-19 厦门市美亚柏科信息股份有限公司 The data pick-up method, apparatus and storage medium of the Various database of customizable
CN109977389A (en) * 2019-04-10 2019-07-05 鼎信信息科技有限责任公司 List input method, device, computer equipment and storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
卢向华: "Excel自动化技术在Delphi中的应用", 《福建电脑》 *
梁耀基等: "番禺中心医院信息平台虚拟化研究与实践", 《中国数字医学》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111813747A (en) * 2020-07-09 2020-10-23 广东一一五科技股份有限公司 File batch renaming method, electronic equipment and computer readable storage medium
CN111914011A (en) * 2020-08-06 2020-11-10 上海智众医疗科技有限公司 Cross-platform data conversion method and system

Also Published As

Publication number Publication date
CN110660461B (en) 2023-03-24

Similar Documents

Publication Publication Date Title
US11870558B1 (en) Identification of related event groups for IT service monitoring system
US20220374303A1 (en) Linking related events for various devices and services in computer log files on a centralized server
US9009171B1 (en) Systems and methods for active column filtering
US11403460B2 (en) Transformation in tabular data cleaning tool
US9798703B2 (en) Systems and methods for navigating to errors in an XBRL document using metadata
US11494068B2 (en) Graphical user interfaces for optimizations
CN110660461B (en) Cross-platform medical data information uploading system based on artificial intelligence
US12050635B2 (en) Systems and methods for unstructured data processing
WO2015026678A2 (en) Ad hoc reporting with smart lists
US10055110B2 (en) Simulating a user interface to submit data received from a device
US20210049135A1 (en) Systems and methods for data entry
Weidmann Data management for social scientists: From files to databases
CN113961129A (en) Enterprise informatization operation method and system based on low-code technology
Monaco Methods for in-sourcing authority control with MarcEdit, SQL, and regular expressions
CN113488184B (en) Method and device for inputting data, computer readable storage medium and electronic equipment
Nguyen et al. Dataset of United States Incident Management Situation Reports from 2007 to 2021
CN113485693B (en) Interface configuration method, device, equipment and storage medium
CN108229928A (en) One kind checks and writes off management system
CN113849337B (en) System exception handling method and device
CN112765156B (en) Data modification method, system and storage medium based on data modification rule
JP4663526B2 (en) Form creation support device, form creation support method, and form creation support program
European Food Safety Authority (EFSA) et al. User manual for mapping Member State avian influenza standard terminology to EFSA standard terminology
CN116383461A (en) Data display control method, system, equipment and medium
CN118277500A (en) Data processing method and device, electronic equipment and storage medium
Chaves Automated Daily Mortality Surveillance Systems

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant