CN113517058A - Data mining technology-based system and method for analyzing use condition of regional emergency equipment - Google Patents

Data mining technology-based system and method for analyzing use condition of regional emergency equipment Download PDF

Info

Publication number
CN113517058A
CN113517058A CN202110546975.4A CN202110546975A CN113517058A CN 113517058 A CN113517058 A CN 113517058A CN 202110546975 A CN202110546975 A CN 202110546975A CN 113517058 A CN113517058 A CN 113517058A
Authority
CN
China
Prior art keywords
data
emergency equipment
hospital
equipment
data mining
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.)
Pending
Application number
CN202110546975.4A
Other languages
Chinese (zh)
Inventor
田君鹏
胡立勇
王庆芬
李璟
胡小兰
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.)
Ninth Hospital Of Joint Service Support Force Of Chinese Pla
Original Assignee
Ninth Hospital Of Joint Service Support Force Of Chinese Pla
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 Ninth Hospital Of Joint Service Support Force Of Chinese Pla filed Critical Ninth Hospital Of Joint Service Support Force Of Chinese Pla
Priority to CN202110546975.4A priority Critical patent/CN113517058A/en
Publication of CN113517058A publication Critical patent/CN113517058A/en
Pending legal-status Critical Current

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
    • 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
    • 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
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • 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
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • 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
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • 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
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • 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
    • G06F16/254Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2216/00Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
    • G06F2216/03Data mining

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Probability & Statistics with Applications (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Software Systems (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Quality & Reliability (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention discloses a system and a method for analyzing the use condition of regional emergency equipment based on a data mining technology, wherein the system comprises a data mining module, a data transmission module and a data analysis display module; the data mining module is used for analyzing and counting the use quantity and the residual quantity of various emergency equipment in the hospital through data mining, and the data transmission module is used for transmitting the use data of the emergency equipment mined out from the interior of each hospital mechanism to the external network server for summarizing; the data analysis and display module carries BI software to analyze and visually display the use data of the emergency equipment. The invention utilizes big data mining technology to mine and analyze the number of the first-aid equipment in use, the total number, the free number and the like of the current hospital and even departments, summarizes and integrates the hospital data in the area through internet technology, and intelligently analyzes the historical data, thereby realizing the intelligent use analysis and configuration management of the first-aid medical equipment in the hospital in the area and optimizing the configuration of the medical equipment.

Description

Data mining technology-based system and method for analyzing use condition of regional emergency equipment
Technical Field
The invention relates to the technical field of medical equipment, in particular to a system and a method for analyzing the use condition of regional emergency equipment based on a data mining technology.
Background
At present, the rapid development of hospitals at all levels in China increasingly depends on the support and promotion of medical equipment, and particularly, the dependence of emergency work of critically ill patients on emergency equipment is more obvious. Each hospital emergency department is usually equipped with a certain amount of emergency equipment to meet the daily emergency needs, but the emergency equipment is often insufficient and needs to be temporarily allocated from other departments of the hospital. Particularly, when the emergency equipment of the hospital at the level cannot meet the requirement under the condition that regional emergent public health events occur or batch sick and wounded occur in wartime, the emergency equipment needs to be allocated from hospitals in the region for emergency.
At present, the hospital and regional health administration department cannot quickly master the use condition of emergency equipment in each department and each hospital in the region, and only can repeatedly try to communicate and coordinate, so that the emergency allocation efficiency is low, and the rescue of patients is seriously influenced. How to quickly master the use condition of the emergency equipment of each hospital in each department or area of the hospital in real time is the key for solving the problem.
Disclosure of Invention
The invention aims to provide a system and a method for analyzing the use condition of regional emergency equipment based on a data mining technology.
The technical scheme adopted by the invention is as follows:
the system for analyzing the use condition of the regional emergency equipment based on the data mining technology comprises a data mining module, a data transmission module and a data analysis and display module; the data mining module is used for analyzing and counting the use quantity and the residual quantity of various emergency equipment in the hospital through data mining, and the data transmission module is used for transmitting the use data of the emergency equipment mined out from the interior of each hospital mechanism to the external network server for summarizing; the data analysis and display module carries BI software to analyze and visually display the use data of the emergency equipment.
Further, as a preferred embodiment, the remaining number of first-aid devices of a certain department = the number of first-aid devices of the same type + the number of leases of the department — the number of actual uses.
Further, as a preferred embodiment, the number of the first-aid devices of the department type is statistically obtained from a fixed asset management system of a hospital HIS, the renting number is used for counting the rented first-aid devices of the type which are not returned according to the department collection by a device renting system, and the actual using number is analyzed by an order module of the HIS system, namely, long-term orders which relate to the first-aid devices and are not wasted according to the department grouping statistics, and temporary orders which relate to the first-aid devices and have the starting time + duration time > current system time are counted according to the department grouping.
Further, as a preferred embodiment, the calculation of the remaining amount of the emergency equipment of a certain type in a certain department writes a query view in SQL language for the front-end software to call.
Further, as a preferred implementation, the data transmission module is connected to the extranet server through the gatekeeper device, and the data transmission module is transmitted to the hospital through the intranet for use.
The method for analyzing the use condition of the regional emergency equipment based on the data mining technology comprises the following steps:
step 1, extracting equipment use data from a hospital HIS medical advice subsystem, mining and analyzing to obtain the information of the total quantity, the use quantity and the idle quantity of the first-aid equipment of each hospital or each department,
step 2, checking and modifying key medical advice or charge names of other hospitals in the area, making an interface view and testing, and transmitting and combining result data to a platform database of the BI server;
and 3, creating a BI server, deploying the created BI program to the server, and accessing the BI program through a browser, wherein the BI program analyzes and visually displays the data used by the emergency equipment.
Further, as a preferred embodiment, when the device usage data is extracted in step 1, the names of orders of various devices are extracted, and the interception time for distinguishing the long-term order, the provisional order and the use time of the provisional order is extracted.
Further, as a preferred embodiment, in step 1, query analysis views of various types of emergency equipment are written and made by using SQL language respectively.
Further, as a preferred embodiment, the result data of other hospitals in the domain are exported or transmitted in real time through the internet if the conditions allow, in step 1, and are merged into the platform database of the BI server.
Further, as a preferred embodiment, the BI server is configured with a related security access mechanism in step 3, so as to ensure that the application program can be accessed by the personnel with the related rights.
Further, as a preferred embodiment, the data source of the BI program in step 3 is configured as a query analysis view of various devices, data is extracted, various charts of query analysis are created, and dynamic association among elements is realized to realize interactive analysis.
Further, as a preferred embodiment, the specific steps of performing data analysis and display in step 3 are as follows:
step 3-1, firstly configuring a data source of QlikView software as an SQL query view;
step 3-2, establishing various worksheets according to the requirements, and configuring fields and classification fields to be used by the worksheets;
and 3-3, displaying various data and dynamically associating the data by loading the data through a worksheet. The total number, the use number, the rent and borrow number, the idle number and the like of the emergency equipment in each hospital and even each department can be checked according to the category of the emergency equipment. The use conditions of various equipment in various departments of the whole hospital can be clear at a glance through a graphical interface.
By adopting the technical scheme, the hospital diagnosis and treatment data are extracted, converted, cleaned and the like by utilizing a big data mining technology, the number, the total number, the free number and the like of the current first-aid equipment in hospitals and departments are mined and analyzed, the data interfaces are researched and developed, the hospital data in the area are collected and integrated through the internet technology, the historical data are intelligently analyzed, the intelligent use analysis and configuration management of the first-aid medical equipment in the area are realized, the dynamic management level of the first-aid medical equipment in the area and the equipment guarantee capability of clinical first-aid work are improved, and the configuration of the medical equipment is optimized. The application of the invention has great significance for civil and military use, especially for the treatment of sudden public health events and mass military sick and wounded.
Drawings
The invention is described in further detail below with reference to the accompanying drawings and the detailed description;
fig. 1 is a schematic structural diagram of a system for analyzing the use condition of a regional emergency equipment based on a data mining technology.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
As shown in FIG. 1, the invention discloses a system for analyzing the use condition of a regional emergency equipment based on a data mining technology, which comprises a data mining module, a data transmission module and a data analysis and display module;
the data mining module analyzes and counts the using quantity and the residual quantity of various first-aid equipment in the hospital through data mining,
the data transmission module is used for transmitting the data used by the first-aid equipment excavated from the interior of each hospital institution to the extranet server for summarizing;
the data analysis and display module carries BI software to analyze and visually display the data used by the emergency equipment, and firstly, a data source of QlikView software is configured as an SQL query view; secondly, establishing various worksheets according to the requirements, configuring fields to be used by the worksheets, classifying the fields and the like; and finally, loading data, displaying various data on a worksheet, and dynamically associating. The use conditions of various equipment in various departments of the whole hospital can be clear at a glance through a graphical interface.
Further, as a preferred embodiment, the remaining number of first-aid devices of a certain department = the number of first-aid devices of the same type + the number of leases of the department — the number of actual uses.
Further, as a preferred embodiment, the number of the first-aid devices of the department type is statistically obtained from a fixed asset management system of a hospital HIS, the renting number is used for counting the rented first-aid devices of the type which are not returned according to the department collection by a device renting system, and the actual using number is analyzed by an order module of the HIS system, namely, long-term orders which relate to the first-aid devices and are not wasted according to the department grouping statistics, and temporary orders which relate to the first-aid devices and have the starting time + duration time > current system time are counted according to the department grouping. Further, as a preferred embodiment, the calculation of the remaining amount of the emergency equipment of a certain type in a certain department writes a query view in SQL language for the front-end software to call.
Specifically, taking the electrocardiograph monitors as an example, the remaining number of electrocardiograph monitors in a certain department = the number of electrocardiograph monitors in the department + the lease number — the actual usage number. The number of department ECG monitors can be counted out from a fixed asset management system of a hospital HIS (on the premise that the hospital ECG monitors are named as same or have certain rules); the renting quantity can be calculated by the department renting monitors according to the following conditions because the hospital has an equipment renting system for online renting: at present, rented devices are not returned, the name of each rented device is the ECG monitor, and the statistics is summarized according to departments; the actual usage amount is mainly analyzed by the order module of the HIS system. The hospital advice is divided into long-term advice and temporary advice, and the long-term advice can be inquired through the following conditions: the medical advice is named as continuous electrocardio and blood oxygen saturation monitoring, which is not used and is grouped according to departments; the provisional order may be queried by: the medical orders are named as continuous electrocardio and blood oxygen saturation monitoring, and the temporary medical orders are grouped according to departments, wherein the starting time + the duration of the temporary medical orders > the current system time. The number of the current electrocardiographic monitors in each department can be counted from the medical advice. According to the statistical method of other emergency equipment, only the equipment name and the medical advice name are changed, and the query view is compiled through the SQL language and is called by front-end software.
Further, as a preferred implementation, the data transmission module is connected to the extranet server through the gatekeeper device, and the data transmission module is transmitted to the hospital through the intranet for use.
The method for analyzing the use condition of the regional emergency equipment based on the data mining technology comprises the following steps:
step 1, extracting equipment use data from a hospital HIS medical advice subsystem, mining and analyzing to obtain the information of the total quantity, the use quantity and the idle quantity of the first-aid equipment of each hospital or each department,
step 2, checking and modifying key medical advice or charge names of other hospitals in the area, making an interface view and testing, and transmitting and combining result data to a platform database of the BI server;
and 3, creating a BI server, deploying the created BI program to the server, and accessing the BI program through a browser, wherein the BI program analyzes and visually displays the data used by the emergency equipment.
Further, as a preferred embodiment, when the device usage data is extracted in step 1, the names of orders of various devices are extracted, and the interception time for distinguishing the long-term order, the provisional order and the use time of the provisional order is extracted. The medical advice names comprise a breathing machine, an electrocardiogram monitor, an injection pump, an infusion pump, a defibrillator and the like, long-term medical advice and temporary medical advice are distinguished, the using time of the temporary medical advice is intercepted, and the like, information such as the total quantity, the using quantity, the free quantity and the like of the emergency equipment of each current hospital and even department is mined and analyzed, and query analysis views of various types of emergency equipment are compiled and manufactured by using SQL language respectively.
Further, as a preferred embodiment, the result data of other hospitals in the domain are exported or transmitted in real time through the internet if the conditions allow, in step 1, and are merged into the platform database of the BI server.
Further, as a preferred embodiment, the BI server is configured with a related security access mechanism in step 3, so as to ensure that the application program can be accessed by the personnel with the related rights.
Further, as a preferred embodiment, the data source of the BI program in step 3 is configured as a query analysis view of various devices, data is extracted, various charts of query analysis are created, and dynamic association among elements is realized to realize interactive analysis.
Further, as a preferred embodiment, the specific steps of performing data analysis and display in step 3 are as follows:
step 3-1, firstly configuring a data source of QlikView software as an SQL query view;
step 3-2, establishing various worksheets according to the requirements, and configuring fields and classification fields to be used by the worksheets;
and 3-3, displaying various data and dynamically associating the data by loading the data through a worksheet. The total number, the use number, the rent and borrow number, the idle number and the like of the emergency equipment in each hospital and even each department can be checked according to the category of the emergency equipment. The use conditions of various equipment in various departments of the whole hospital can be clear at a glance through a graphical interface.
By adopting the technical scheme, the hospital diagnosis and treatment data are extracted, converted, cleaned and the like by utilizing a big data mining technology, the number, the total number, the free number and the like of the current first-aid equipment in hospitals and departments are mined and analyzed, the data interfaces are researched and developed, the hospital data in the area are collected and integrated through the internet technology, the historical data are intelligently analyzed, the intelligent use analysis and configuration management of the first-aid medical equipment in the area are realized, the dynamic management level of the first-aid medical equipment in the area and the equipment guarantee capability of clinical first-aid work are improved, and the configuration of the medical equipment is optimized. The application of the invention has great significance for civil and military use, especially for the treatment of sudden public health events and mass military sick and wounded.
It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. The embodiments and features of the embodiments in the present application may be combined with each other without conflict. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the detailed description of the embodiments of the present application is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Claims (10)

1. Regional first aid equipment in service behavior analytic system based on data mining technique its characterized in that: the system comprises a data mining module, a data transmission module and a data analysis and display module; the data mining module is used for analyzing and counting the using quantity and the residual quantity of various emergency equipment in the hospital through data mining, and the data transmission module is used for transmitting the using data of the emergency equipment mined out from the interior of each hospital mechanism to the server for summarizing; the data analysis and display module carries BI software to analyze and visually display the use data of the emergency equipment.
2. The data mining technology-based area emergency equipment usage analysis system of claim 1, wherein: the data analysis display module is arranged on the intranet server or the extranet server in a carrying mode, the data transmission module is connected with the extranet server through the network gate equipment, and the data transmission module is transmitted to a hospital through an intranet to be used.
3. The method for analyzing the use condition of the area emergency equipment based on the data mining technology, which adopts the system for analyzing the use condition of the area emergency equipment based on the data mining technology as claimed in claim 1 or 2, is characterized in that: the method comprises the following steps:
step 1, extracting equipment use data from a hospital HIS medical advice subsystem, mining and analyzing to obtain the information of the total quantity, the use quantity and the idle quantity of the first-aid equipment of each hospital or each department,
step 2, checking and modifying key medical advice or charge names of other hospitals in the area, making an interface view and testing, and transmitting and combining result data to a platform database of the BI server;
and 3, creating a BI server, deploying the created BI program to the server, and accessing the BI program through a browser, wherein the BI program analyzes and visually displays the data used by the emergency equipment.
4. The method for analyzing the use condition of emergency equipment based on data mining technology as claimed in claim 3, wherein: and (3) extracting the medical advice names of various devices when the device use data are extracted in the step 1, and distinguishing the long-term medical advice, the temporary medical advice and the interception time of the use time of the temporary medical advice.
5. The method for analyzing the use condition of emergency equipment based on data mining technology as claimed in claim 3, wherein: the remaining number of certain types of emergency equipment of a department in the step 1 is = the number of the emergency equipment of the department + the lease number-the actual use number; the number of the department type emergency equipment is obtained through statistics of a fixed asset management system of hospital HIS, the rented number of the department type emergency equipment which is not returned is counted through a equipment renting system according to department collection, and the actual using number is analyzed through an advice module of the HIS system, namely, long-term advice which is not wasted and relates to the department type emergency equipment is counted according to department groups, and temporary advice which relates to the department type emergency equipment is counted according to the department groups, wherein the starting time + duration time > current system time of the temporary advice is counted.
6. The method for analyzing the use condition of emergency equipment based on data mining technology as claimed in claim 3, wherein: in the step 1, query analysis views of various first-aid equipment are compiled and manufactured by adopting SQL language.
7. The method for analyzing the use condition of emergency equipment based on data mining technology as claimed in claim 3, wherein: in step 1, result data of other hospitals in the domain are exported or transmitted in real time through the Internet and merged to a platform database of the BI server.
8. The method for analyzing the use condition of emergency equipment based on data mining technology as claimed in claim 3, wherein: and 3, configuring a related safety access mechanism aiming at the BI server to ensure that the personnel with related authority can access the application program.
9. The method for analyzing the use condition of emergency equipment based on data mining technology as claimed in claim 3, wherein: and 3, configuring a data source of the BI program into query analysis views of various devices, extracting data, creating various charts for query analysis, and dynamically associating various elements to realize interactive analysis.
10. The data mining technology-based area emergency equipment use condition analysis method according to claim 9, wherein: the specific steps for data analysis and display in the step 3 are as follows:
step 3-1, firstly configuring a data source of QlikView software as an SQL query view;
step 3-2, establishing various worksheets according to the requirements, and configuring fields and classification fields to be used by the worksheets;
and 3-3, displaying various data and dynamically associating the data by loading the data through a worksheet.
CN202110546975.4A 2021-05-19 2021-05-19 Data mining technology-based system and method for analyzing use condition of regional emergency equipment Pending CN113517058A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110546975.4A CN113517058A (en) 2021-05-19 2021-05-19 Data mining technology-based system and method for analyzing use condition of regional emergency equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110546975.4A CN113517058A (en) 2021-05-19 2021-05-19 Data mining technology-based system and method for analyzing use condition of regional emergency equipment

Publications (1)

Publication Number Publication Date
CN113517058A true CN113517058A (en) 2021-10-19

Family

ID=78064721

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110546975.4A Pending CN113517058A (en) 2021-05-19 2021-05-19 Data mining technology-based system and method for analyzing use condition of regional emergency equipment

Country Status (1)

Country Link
CN (1) CN113517058A (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070168225A1 (en) * 2005-11-24 2007-07-19 Sultan Haider Workflow generator for medical-clinical facilities
US20150213222A1 (en) * 2012-09-13 2015-07-30 Parkland Center For Clinical Innovation Holistic hospital patient care and management system and method for automated resource management

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070168225A1 (en) * 2005-11-24 2007-07-19 Sultan Haider Workflow generator for medical-clinical facilities
US20150213222A1 (en) * 2012-09-13 2015-07-30 Parkland Center For Clinical Innovation Holistic hospital patient care and management system and method for automated resource management

Similar Documents

Publication Publication Date Title
Kalid et al. Based real time remote health monitoring systems: A review on patients prioritization and related" big data" using body sensors information and communication technology
CN101385635B (en) Pathological affair analytical device
CN104765947A (en) Method for mining potential adverse drug reaction data from big data
US20230031792A1 (en) Design Method of Oncological Computerized Physician Order Entry System with Intelligent Clinical Decision Recommendation Function
CN110275908A (en) Medical data digging system and method based on big data
CN111695834A (en) Clinical trial quality real-time management and control optimization method and system
CN113488155A (en) Refined management system based on hospital operation model
EP3619628A1 (en) Mobile interoperable personal health information exchange with biometrics data analytics
CN111933246B (en) Medical prescription analysis method, system, electronic device and storage medium
CN113871025A (en) Dermatological clinical special disease database construction method and system
CN108538385A (en) A kind of critical value warning system of medical test
DE112007000368T5 (en) Method and system for directing information to a suitable service provider
CN115101186B (en) Hospital treatment information management method and device based on big data
CN113517058A (en) Data mining technology-based system and method for analyzing use condition of regional emergency equipment
CN103198204A (en) HIS (hospital information system) system of rescuing shelter
CN111402975A (en) Out-hospital pharmacy monitoring system and method based on smart cloud platform
Hu Research on monitoring system of daily statistical indexes through big data
CN113901234A (en) New medicine clinical test information acquisition and analysis device
CN112635007A (en) Hospital integration method and system with patient as center
Wang et al. Design and development of ICU intelligent medicine management system based on MVC
Blondon et al. Design Considerations for the Use of Patient-Generated Health Data in the Electronic Medical Records.
Gouveia-Oliveira et al. Formal representation of a conceptual data model for the patient-based medical record.
Zhang et al. Agent-based web healthcare systems for real-time chronic disease
Schneiderbauer et al. Dynamic Survival Analysis Using In-Memory Technology.
CN116434936A (en) Big data-based electronic health full information acquisition terminal system and method thereof

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